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"from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 13 + ], + "object_name": "microwave", + "object_bbox": [ + [ + -1.5874403715133667, + -0.016225963830947876, + 1.5500420331954956, + 0.1459484100341797, + 0.8008409738540649, + 0.4470984935760498 + ] + ] + }, + { + "object_id": [ + 1 + ], + "object_name": "refrigerator", + "object_bbox": [ + [ + -1.4164393246173859, + -1.028797060251236, + 0.7888616137206554, + 0.8631107211112976, + 0.7704359889030457, + 1.5976620092988014 + ] + ] + } + ], + "target_object_id": 13, + "target_object_name": "microwave" + } + }, + { + "id": 219, + "video": "scannet/scene0655_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nyellow chair next to the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 5 + ], + "object_name": "office chair", + "object_bbox": [ + [ + -2.769075393676758, + -0.21225380897521973, + 0.5428691357374191, + 0.7025461196899414, + 0.5854765176773071, + 0.3977947533130646 + ] + ] + }, + { + "object_id": [ + 16 + ], + "object_name": "table", + "object_bbox": [ + [ + -0.363244891166687, + -0.8551084995269775, + 0.513311117887497, + 3.1283769607543945, + 1.6200652122497559, + 0.5907878279685974 + ] + ] + } + ], + "target_object_id": 5, + "target_object_name": "office" + } + }, + { + "id": 220, + "video": "scannet/scene0598_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag on the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 21 + ], + "object_name": "backpack", + "object_bbox": [ + [ + -0.3271266520023346, + 1.133034884929657, + 0.8872862160205841, + 0.4690176844596863, + 0.32170212268829346, + 0.4374629855155945 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "table", + "object_bbox": [ + [ + 0.22160029411315918, + 1.771982580423355, + 0.39153352566063404, + 2.7540972232818604, + 1.5906292796134949, + 0.8510981164872646 + ] + ] + } + ], + "target_object_id": 21, + "target_object_name": "backpack" + } + }, + { + "id": 221, + "video": "scannet/scene0670_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbeater next to knife holder ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { 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z1, x2, y2, z2).\ncupboard above sink", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 13 + ], + "object_name": "sink", + "object_bbox": [ + [ + 1.8176410794258118, + 0.26862209290266037, + 0.8465442657470703, + 0.5611470937728882, + 0.6141039282083511, + 0.30635499954223633 + ] + ] + }, + { + "object_id": [ + 18 + ], + "object_name": "kitchen cabinets", + "object_bbox": [ + [ + 1.9198966026306152, + 0.10262370109558105, + 1.8939476609230042, + 0.549159049987793, + 2.3317131996154785, + 1.160587191581726 + ] + ] + } + ], + "target_object_id": 18, + "target_object_name": "kitchen" + } + }, + { + "id": 240, + "video": "scannet/scene0378_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\njacket is hanged to the door", + 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"conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntoilet seat near the washbasin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 5 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.6342452317476273, + 0.8268652558326721, + 0.49707964435219765, + 0.6273134648799896, + 0.3843280076980591, + 0.8656110092997551 + ] + ] + }, + { + "object_id": [ + 6 + ], + "object_name": "sink", + "object_bbox": [ + [ + 0.71425561606884, + -0.31277555227279663, + 0.6422175318002701, + 0.4676879942417145, + 0.6211317777633667, + 0.5986871421337128 + ] + ] + } + ], + "target_object_id": 5, + "target_object_name": "toilet" + } + }, + { + "id": 425, + "video": "scannet/scene0203_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ncarry bag is close to the sofa", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 23 + ], + "object_name": "bag", + "object_bbox": [ + [ + -0.8429364264011383, + 0.2359986323863268, + 0.15229156985878944, + 0.38464754819869995, + 0.36648738011717796, + 0.4844742938876152 + ] + ] + }, + { + "object_id": [ + 2 + ], + "object_name": "couch", + "object_bbox": [ + [ + -1.348899483680725, + -0.875485897064209, + 0.34565751254558563, + 1.00486159324646, + 2.1481714248657227, + 0.8287352621555328 + ] + ] + } + ], + "target_object_id": 23, + "target_object_name": "bag" + } + }, + { + "id": 426, + "video": "scannet/scene0316_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output 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format (x1, y1, z1, x2, y2, z2).\nHanger next to the mirror cupboard", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 26 + ], + "object_name": "clothes hanger", + "object_bbox": [ + [ + 0.17260310970596038, + -0.8277771472930908, + 1.4406405091285706, + 0.34374515368836, + 0.05668914318084717, + 0.1806565523147583 + ] + ] + }, + { + "object_id": [ + 30 + ], + "object_name": "cabinet", + "object_bbox": [ + [ + 0.9158240258693695, + -0.6796347498893738, + 0.8620139062404633, + 0.5165379643440247, + 0.30641233921051025, + 1.6889737248420715 + ] + ] + } + ], + "target_object_id": 26, + "target_object_name": "clothes" + } + }, + { + "id": 428, + "video": "scannet/scene0342_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, 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"conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndustbin beside toilet ceat", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 12 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.9999808669090271, + 0.3411424085497856, + 0.14945897832512856, + 0.21144330501556396, + 0.23375774919986725, + 0.30990784615278244 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "toilet", + "object_bbox": [ + [ + -1.008348524570465, + -0.0004597604274749756, + 0.31100786849856377, + 0.7156263589859009, + 0.5161067247390747, + 0.64966831356287 + ] + ] + } + ], + "target_object_id": 12, + "target_object_name": "trash" + } + }, + { + "id": 712, + "video": "scannet/scene0494_00", + "conversations": [ + { + "value": "Locate 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"value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nstand fan is on the drawer", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 9 + ], + "object_name": "fan", + "object_bbox": [ + [ + -1.2733145952224731, + -0.25233888626098633, + 0.955166757106781, + 0.5771651268005371, + 0.2587900757789612, + 0.5789312124252319 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "desk", + "object_bbox": [ + [ + -1.1866203248500824, + 0.2309245765209198, + 0.41761864721775055, + 0.7528250813484192, + 1.858854353427887, + 0.9701215922832489 + ] + ] + } + ], + "target_object_id": 9, + "target_object_name": "fan" + } + }, + { + "id": 799, + "video": "scannet/scene0015_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nBag is on the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 44 + ], + "object_name": "backpack", + "object_bbox": [ + [ + -1.1052177548408508, + 1.423624336719513, + 0.6854625940322876, + 0.37496793270111084, + 0.3172398805618286, + 0.4331001043319702 + ] + ] + }, + { + "object_id": [ + 18 + ], + "object_name": "chair", + "object_bbox": [ + [ + -1.1333697438240051, + 1.5264920592308044, + 0.5786809474229813, + 0.5017191171646118, + 0.5251766443252563, + 0.5697260797023773 + ] + ] + } + ], + "target_object_id": 44, + "target_object_name": "backpack" + } + }, + { + "id": 800, + "video": "scannet/scene0653_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ncup is on the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 49 + ], + "object_name": "cup", + "object_bbox": [ + [ + 1.2189372181892395, + -1.2023549675941467, + 0.6612032651901245, + 0.15997636318206787, + 0.12294614315032959, + 0.08519613742828369 + ] + ] + }, + { + "object_id": [ + 18 + ], + "object_name": "desk", + "object_bbox": [ + [ + 1.2086992859840393, + -1.8667863011360168, + 0.3349488861858845, + 0.7347227334976196, + 1.5545638799667358, + 0.8417685255408287 + ] + ] + } + ], + "target_object_id": 18, + "target_object_name": "desk" + } + }, + { + "id": 801, + "video": "scannet/scene0249_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nrecycle bin is 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"conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nfan near the printer ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 32 + ], + "object_name": "fan", + "object_bbox": [ + [ + 1.1605699062347412, + 1.0247388184070587, + 0.5792890265583992, + 0.5976622104644775, + 0.6008464694023132, + 1.243165597319603 + ] + ] + }, + { + "object_id": [ + 22 + ], + "object_name": "printer", + "object_bbox": [ + [ + 1.720770001411438, + 1.654970109462738, + 1.0739765763282776, + 0.4816617965698242, + 0.4740408658981323, + 0.4188171625137329 + ] + ] + } + ], + "target_object_id": 32, + "target_object_name": "fan" + } + }, + { + "id": 847, + "video": "scannet/scene0084_00", + "conversations": [ + { + "value": "Locate all the objects 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1.577045738697052, + 0.34877606853842735, + 0.1554661989212036, + 0.16856825351715088, + 0.4616916850209236 + ] + ] + }, + { + "object_id": [ + 1 + ], + "object_name": "chair", + "object_bbox": [ + [ + 2.19745671749115, + 1.763545274734497, + 0.29056893289089203, + 0.7364294528961182, + 0.6374983787536621, + 0.8102238476276398 + ] + ] + } + ], + "target_object_id": 27, + "target_object_name": "fire" + } + }, + { + "id": 911, + "video": "scannet/scene0593_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nfan close to printer ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 32 + ], + "object_name": "fan", + "object_bbox": [ + [ + 1.1605699062347412, + 1.0247388184070587, + 0.5792890265583992, + 0.5976622104644775, + 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bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag opposite to the dust bin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 10 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 0.06766854226589203, + 1.7937448024749756, + 1.1805837750434875, + 0.36710163950920105, + 0.551084041595459, + 0.20212924480438232 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.05788716673851013, + 3.7087063789367676, + 0.6310166195034981, + 0.5786281228065491, + 0.5942602157592773, + 0.9688939899206161 + ] + ] + } + ], + "target_object_id": 10, + "target_object_name": "backpack" + } + }, + { + "id": 1076, + "video": "scannet/scene0095_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nboard is beside the cabinet ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 46 + ], + "object_name": "whiteboard", + "object_bbox": [ + [ + 1.8114416599273682, + -1.2856521606445312, + 1.0419265627861023, + 0.2283475399017334, + 2.5012168884277344, + 0.3799079656600952 + ] + ] + }, + { + "object_id": [ + 16 + ], + "object_name": "cabinet", + "object_bbox": [ + [ + 0.6421901434659958, + -3.28549861907959, + 0.5954760294407606, + 1.9955953657627106, + 0.6303596496582031, + 1.0882368125021458 + ] + ] + } + ], + "target_object_id": 46, + "target_object_name": "whiteboard" + } + }, + { + "id": 1077, + "video": "scannet/scene0643_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nTelephone is on the small refrigerator", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 25 + ], + "object_name": "telephone", + "object_bbox": [ + [ + -1.5109237432479858, + -0.14388751983642578, + 0.8123955726623535, + 0.25679945945739746, + 0.20456454157829285, + 0.1111147403717041 + ] + ] + }, + { + "object_id": [ + 9 + ], + "object_name": "mini fridge", + "object_bbox": [ + [ + -1.3734421730041504, + -0.0010949373245239258, + 0.3811175590381026, + 0.637549638748169, + 0.6087571978569031, + 0.787813114002347 + ] + ] + } + ], + "target_object_id": 25, + "target_object_name": "telephone" + } + }, + { + "id": 1078, + "video": "scannet/scene0684_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nphone on the table", + "from": "human" + }, + { 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"dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 0 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 0.1636945903301239, + -1.6986486911773682, + 0.834430605173111, + 0.4763748049736023, + 0.38631391525268555, + 0.6106762290000916 + ] + ] + }, + { + "object_id": [ + 6 + ], + "object_name": "table", + "object_bbox": [ + [ + 0.6225242242217064, + -2.2029419541358948, + 0.40186192642431706, + 1.5999863892793655, + 1.3332489728927612, + 0.8108973095659167 + ] + ] + } + ], + "target_object_id": 0, + "target_object_name": "backpack" + } + }, + { + "id": 1080, + "video": "scannet/scene0221_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\niron box beside the iron stand", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "ironing board", + "object_bbox": [ + [ + 1.3870700001716614, + -2.7236533164978027, + 1.0909848511219025, + 0.41612255573272705, + 0.14127063751220703, + 1.3082203269004822 + ] + ] + }, + { + "object_id": [ + 33 + ], + "object_name": "iron", + "object_bbox": [ + [ + 1.1196430325508118, + -2.7139527797698975, + 1.5709797143936157, + 0.11140835285186768, + 0.14650201797485352, + 0.24678778648376465 + ] + ] + } + ], + "target_object_id": 33, + "target_object_name": "iron" + } + }, + { + "id": 1081, + "video": "scannet/scene0583_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntoilet is beside the washbasin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + 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mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndustbin next to the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 12 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 0.5487366914749146, + -0.8304758667945862, + 0.162585630081594, + 0.40584349632263184, + 0.34393322467803955, + 0.35104903765022755 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "door", + "object_bbox": [ + [ + -0.4287896752357483, + -1.1311833262443542, + 0.7749105896800756, + 1.134489893913269, + 0.2321985960006714, + 1.5591396875679493 + ] + ] + } + ], + "target_object_id": 12, + "target_object_name": "trash" + } + }, + { + "id": 1099, + "video": "scannet/scene0574_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\niron box is above the ironing stand", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 12 + ], + "object_name": "iron", + "object_bbox": [ + [ + -0.8464960157871246, + -0.5685388892889023, + 1.7403282523155212, + 0.15288490056991577, + 0.17621317505836487, + 0.34116947650909424 + ] + ] + }, + { + "object_id": [ + 16 + ], + "object_name": "ironing board", + "object_bbox": [ + [ + -0.8690373599529266, + -0.5975071787834167, + 0.7471746588125825, + 0.11449819803237915, + 0.4231860637664795, + 1.445254249498248 + ] + ] + } + ], + "target_object_id": 12, + "target_object_name": "iron" + } + }, + { + "id": 1100, + "video": "scannet/scene0648_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box 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0.37699502846226096, + 1.065451979637146, + 1.291930228471756, + 0.7679454060271382 + ] + ] + } + ], + "target_object_id": 4, + "target_object_name": "chair" + } + }, + { + "id": 1115, + "video": "scannet/scene0406_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntrash bin beside the commode", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 7 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 0.729112446308136, + 0.546811655163765, + 0.15286637051030993, + 0.16377508640289307, + 0.32335588335990906, + 0.32558851037174463 + ] + ] + }, + { + "object_id": [ + 3 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.472196351736784, + 0.19066043011844158, + 0.3740422362461686, + 0.7439732328057289, + 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"value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nboard beside the sofa", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 15 + ], + "object_name": "whiteboard", + "object_bbox": [ + [ + -1.2438581585884094, + -2.4265031814575195, + 0.5548581182956696, + 0.6519378423690796, + 0.42853355407714844, + 0.45493167638778687 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "couch", + "object_bbox": [ + [ + -1.0830210447311401, + -1.1391727924346924, + 0.3524472266435623, + 1.031247615814209, + 2.176351547241211, + 0.931612104177475 + ] + ] + } + ], + "target_object_id": 15, + "target_object_name": "whiteboard" + } + }, + { + "id": 1123, + "video": "scannet/scene0353_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in 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"conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nchair is beside to the dustbin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "chair", + "object_bbox": [ + [ + 0.8098959028720856, + -1.2453522086143494, + 0.5003786894958466, + 0.609745442867279, + 0.8368734121322632, + 1.0110293203033507 + ] + ] + }, + { + "object_id": [ + 18 + ], + "object_name": "recycling bin", + "object_bbox": [ + [ + 1.1238692700862885, + -0.9276810586452484, + 0.16685967962257564, + 0.4371216893196106, + 0.37749558687210083, + 0.34305019536986947 + ] + ] + } + ], + "target_object_id": 11, + "target_object_name": "chair" + } + }, + { + "id": 1272, + "video": "scannet/scene0616_00", + "conversations": [ + { + "value": 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"dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 12 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.9999808669090271, + 0.3411424085497856, + 0.14945897832512856, + 0.21144330501556396, + 0.23375774919986725, + 0.30990784615278244 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "toilet", + "object_bbox": [ + [ + -1.008348524570465, + -0.0004597604274749756, + 0.31100786849856377, + 0.7156263589859009, + 0.5161067247390747, + 0.64966831356287 + ] + ] + } + ], + "target_object_id": 12, + "target_object_name": "trash" + } + }, + { + "id": 1279, + "video": "scannet/scene0690_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntable is infront of big sofa", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 12 + ], + "object_name": "coffee table", + "object_bbox": [ + [ + -1.689759075641632, + 0.20974279940128326, + 0.22086487151682377, + 0.8906725645065308, + 1.2208804786205292, + 0.4553213529288769 + ] + ] + }, + { + "object_id": [ + 8 + ], + "object_name": "couch", + "object_bbox": [ + [ + -2.518283724784851, + 0.28430548310279846, + 0.46402331814169884, + 0.8837745189666748, + 1.7955967783927917, + 0.8401842787861824 + ] + ] + } + ], + "target_object_id": 12, + "target_object_name": "coffee" + } + }, + { + "id": 1280, + "video": "scannet/scene0599_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndoor next to telephone", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + 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0.7705787420272827, + 0.7589004635810852, + 0.3602750301361084, + 0.4036484956741333 + ] + ] + }, + { + "object_id": [ + 24 + ], + "object_name": "mattress", + "object_bbox": [ + [ + -0.8372312784194946, + 1.2292246520519257, + 0.4296528995037079, + 2.088101863861084, + 0.482483446598053, + 0.9845017790794373 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "object" + } + }, + { + "id": 1284, + "video": "scannet/scene0591_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag is close to the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 24 + ], + "object_name": "backpack", + "object_bbox": [ + [ + -1.2533774971961975, + -1.9704246520996094, + 0.12242559844162315, + 0.5029343366622925, + 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0.3930200766772032, + 1.4387500286102295, + 2.5833396911621094, + 0.8648130036890507 + ] + ] + } + ], + "target_object_id": 19, + "target_object_name": "radiator" + } + }, + { + "id": 1290, + "video": "scannet/scene0304_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag on the storage locker", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 10 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 0.06766854226589203, + 1.7937448024749756, + 1.1805837750434875, + 0.36710163950920105, + 0.551084041595459, + 0.20212924480438232 + ] + ] + }, + { + "object_id": [ + 9 + ], + "object_name": "cabinet", + "object_bbox": [ + [ + -0.03646400570869446, + 1.2128385156393051, + 0.5685765617527068, + 0.8264408111572266, + 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"target_object_id": 10, + "target_object_name": "whiteboard" + } + }, + { + "id": 1293, + "video": "scannet/scene0695_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ncardboard box is next to the bed", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 0 + ], + "object_name": "box", + "object_bbox": [ + [ + -0.23684775829315186, + 1.4326576590538025, + 0.21250808611512184, + 0.6537463665008545, + 0.43691694736480713, + 0.47218143194913864 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "bed", + "object_bbox": [ + [ + -0.8946496248245239, + 0.5714982748031616, + 0.5224366877228022, + 1.1041781902313232, + 2.1704225540161133, + 1.1674924902617931 + ] + ] + } + ], + "target_object_id": 0, + "target_object_name": "box" + } + }, + { + "id": 1294, + "video": "scannet/scene0553_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntoilet is close to the wash basin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 2 + ], + "object_name": "toilet", + "object_bbox": [ + [ + -0.6109930872917175, + 0.9775911867618561, + 0.29565418511629105, + 0.6364136934280396, + 0.3899776339530945, + 0.42738793790340424 + ] + ] + }, + { + "object_id": [ + 3 + ], + "object_name": "sink", + "object_bbox": [ + [ + -0.7171559780836105, + -0.11877954006195068, + 0.6348879039287567, + 0.47565701603889465, + 0.5457794070243835, + 0.5875019431114197 + ] + ] + } + ], + "target_object_id": 2, + "target_object_name": "toilet" + } + }, + { + "id": 1295, + "video": "scannet/scene0377_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbucket is beside the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "bucket", + "object_bbox": [ + [ + -0.0687856376171112, + -1.6832805275917053, + 0.07689866051077843, + 0.2776642441749573, + 0.32635295391082764, + 0.22531480342149734 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "chair", + "object_bbox": [ + [ + 0.5315771251916885, + -1.590395748615265, + 0.351584842428565, + 0.5023503005504608, + 0.6357072591781616, + 0.7963488288223743 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "bucket" + } + }, + { + "id": 1296, + "video": "scannet/scene0678_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nsnacks vending machine beside the pepsi vending machine", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 34, + 0 + ], + "object_name": "vending machine", + "object_bbox": [ + [ + 3.8867223262786865, + 2.481378197669983, + 0.928659237921238, + 0.6363101005554199, + 0.7958452701568604, + 1.6302766054868698 + ], + [ + 3.9785521030426025, + 1.4967300295829773, + 0.8678303509950638, + 0.7612347602844238, + 1.0451756715774536, + 1.7637275159358978 + ] + ] + } + ], + "target_object_id": 34, + "target_object_name": "vending" + } + }, + { + "id": 1297, + "video": "scannet/scene0231_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nrefrigerator beside the microwave", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 85 + ], + "object_name": "refrigerator", + "object_bbox": [ + [ + 2.3487184047698975, + 1.7013298869132996, + 0.918170465156436, + 1.0186090469360352, + 0.35851991176605225, + 1.7268557287752628 + ] + ] + }, + { + "object_id": [ + 68 + ], + "object_name": "microwave", + "object_bbox": [ + [ + 3.1080273389816284, + 2.074778199195862, + 1.436228334903717, + 0.6217348575592041, + 0.21324467658996582, + 0.4603797197341919 + ] + ] + } + ], + "target_object_id": 85, + "target_object_name": "refrigerator" + } + }, + { + "id": 1298, + "video": "scannet/scene0139_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nhand wash despenser is close to wash basin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 19 + ], + "object_name": "soap dispenser", + "object_bbox": [ + [ + -0.5431831181049347, + -1.5808904767036438, + 1.4076998829841614, + 0.23468154668807983, + 0.11764419078826904, + 0.27185165882110596 + ] + ] + }, + { + "object_id": [ + 24 + ], + "object_name": "sink", + "object_bbox": [ + [ + -0.8764928579330444, + -1.4140658974647522, + 0.7469916343688965, + 0.5930924415588379, + 0.6025339365005493, + 0.45550858974456787 + ] + ] + } + ], + "target_object_id": 19, + "target_object_name": "soap" + } + }, + { + "id": 1299, + "video": "scannet/scene0686_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nsoap dispenser beside wash basin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 13 + ], + "object_name": "soap dispenser", + "object_bbox": [ + [ + 0.3963709771633148, + 0.6613330841064453, + 1.1633868217468262, + 0.14201408624649048, + 0.17743778228759766, + 0.23026084899902344 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "sink", + "object_bbox": [ + [ + 0.8074822723865509, + 0.7227092236280441, + 0.6456558704376221, + 0.5664677023887634, + 0.47063151001930237, + 0.5374994277954102 + ] + ] + } + ], + "target_object_id": 13, + "target_object_name": "soap" + } + }, + { + "id": 1300, + "video": "scannet/scene0496_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nBlack board is beside the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 22 + ], + "object_name": "blackboard", + "object_bbox": [ + [ + -2.615512728691101, + -0.043334245681762695, + 1.9182168841362, + 0.28008294105529785, + 3.4366579055786133, + 2.142798066139221 + ] + ] + }, + { + "object_id": [ + 20 + ], + "object_name": "door", + "object_bbox": [ + [ + -2.108389377593994, + -2.586272358894348, + 0.6283236984163523, + 1.2381854057312012, + 0.12221455574035645, + 1.2701751701533794 + ] + ] + } + ], + "target_object_id": 22, + "target_object_name": "blackboard" + } + }, + { + "id": 1301, + "video": "scannet/scene0558_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nBag is on the chair ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "backpack", + "object_bbox": [ + [ + -0.4655614495277405, + 0.6608916372060776, + 0.572291910648346, + 0.4692258834838867, + 0.4795779287815094, + 0.35257887840270996 + ] + ] + }, + { + "object_id": [ + 1 + ], + "object_name": "chair", + "object_bbox": [ + [ + -0.5064956545829773, + 0.6452124863862991, + 0.38225628063082695, + 0.5767955780029297, + 0.6587141454219818, + 0.9461883082985878 + ] + ] + } + ], + "target_object_id": 11, + "target_object_name": "backpack" + } + }, + { + "id": 1302, + "video": "scannet/scene0146_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntoilet close to the washbasin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 5 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.6342452317476273, + 0.8268652558326721, + 0.49707964435219765, + 0.6273134648799896, + 0.3843280076980591, + 0.8656110092997551 + ] + ] + }, + { + "object_id": [ + 6 + ], + "object_name": "sink", + "object_bbox": [ + [ + 0.71425561606884, + -0.31277555227279663, + 0.6422175318002701, + 0.4676879942417145, + 0.6211317777633667, + 0.5986871421337128 + ] + ] + } + ], + "target_object_id": 5, + "target_object_name": "toilet" + } + }, + { + "id": 1303, + "video": "scannet/scene0553_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nsoap dispenser is beside to the washbasin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 3 + ], + "object_name": "sink", + "object_bbox": [ + [ + -0.7171559780836105, + -0.11877954006195068, + 0.6348879039287567, + 0.47565701603889465, + 0.5457794070243835, + 0.5875019431114197 + ] + ] + }, + { + "object_id": [ + 15 + ], + "object_name": "soap dispenser", + "object_bbox": [ + [ + -0.7174202501773834, + -0.5207745283842087, + 1.1411556005477905, + 0.12151020765304565, + 0.10464897751808167, + 0.22372937202453613 + ] + ] + } + ], + "target_object_id": 3, + "target_object_name": "sink" + } + }, + { + "id": 1304, + "video": "scannet/scene0203_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag beside the cushion", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 15, + 14 + ], + "object_name": "pillow", + "object_bbox": [ + [ + 0.18577775731682777, + 1.7376301288604736, + 0.47661982476711273, + 0.5093547627329826, + 0.4964869022369385, + 0.323296457529068 + ], + [ + 0.3925860673189163, + 1.8917783498764038, + 0.6044866293668747, + 0.455340713262558, + 0.3062732219696045, + 0.4034896194934845 + ] + ] + } + ], + "target_object_id": 15, + "target_object_name": "pillow" + } + }, + { + "id": 1305, + "video": "scannet/scene0025_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ncushion on sofa", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 41 + ], + "object_name": "pillow", + "object_bbox": [ + [ + 1.3432514071464539, + 2.0798405408859253, + 0.43399906158447266, + 0.633374810218811, + 0.5466339588165283, + 0.21623611450195312 + ] + ] + }, + { + "object_id": [ + 4 + ], + "object_name": "couch", + "object_bbox": [ + [ + 1.3059209883213043, + 1.6894736289978027, + 0.30671440809965134, + 0.7668754458427429, + 1.405618667602539, + 0.6410879045724869 + ] + ] + } + ], + "target_object_id": 41, + "target_object_name": "pillow" + } + }, + { + "id": 1306, + "video": "scannet/scene0389_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nroom heater is close to the bed ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 26 + ], + "object_name": "radiator", + "object_bbox": [ + [ + -1.010943353176117, + -2.835643768310547, + 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"target_object_name": "coffee" + } + }, + { + "id": 1317, + "video": "scannet/scene0690_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ncupboard next to books rack", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 9 + ], + "object_name": "cabinet", + "object_bbox": [ + [ + 1.3962838649749756, + 0.44842976331710815, + 1.110980175435543, + 0.9121127128601074, + 3.2690826654434204, + 2.2138130217790604 + ] + ] + }, + { + "object_id": [ + 20 + ], + "object_name": "shelf", + "object_bbox": [ + [ + 1.6499577164649963, + -1.7462697625160217, + 1.0470352545380592, + 0.409155011177063, + 0.6649779081344604, + 1.9275492876768112 + ] + ] + } + ], + "target_object_id": 9, + "target_object_name": "cabinet" + } + }, + { + "id": 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"conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag close to table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 4 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 1.2174910306930542, + 0.15988733619451523, + 0.19449466979131103, + 0.42379188537597656, + 0.46397824585437775, + 0.41581707168370485 + ] + ] + }, + { + "object_id": [ + 8 + ], + "object_name": "table", + "object_bbox": [ + [ + 1.6885866522789001, + 0.7466109693050385, + 0.4226117036305368, + 1.1140257120132446, + 1.2670767903327942, + 0.8285052971914411 + ] + ] + } + ], + "target_object_id": 4, + "target_object_name": "backpack" + } + }, + { + "id": 1320, + "video": "scannet/scene0187_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag close to green stool ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 4 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 1.2174910306930542, + 0.15988733619451523, + 0.19449466979131103, + 0.42379188537597656, + 0.46397824585437775, + 0.41581707168370485 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "seat", + "object_bbox": [ + [ + 2.3667815923690796, + 0.5457611083984375, + 0.2904078923165798, + 0.45758605003356934, + 0.4343622922897339, + 0.4271261766552925 + ] + ] + } + ], + "target_object_id": 4, + "target_object_name": "backpack" + } + }, + { + "id": 1321, + "video": "scannet/scene0153_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntoilet beside the bathtub", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 7 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.020989656448364258, + 0.6031801551580429, + 0.33785976376384497, + 0.5085801482200623, + 0.7313168346881866, + 0.6979841906577349 + ] + ] + }, + { + "object_id": [ + 26 + ], + "object_name": "bathtub", + "object_bbox": [ + [ + 0.914719820022583, + -0.3881295919418335, + 0.24202387128025293, + 0.7192859649658203, + 1.4215989112854004, + 0.49556311778724194 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "toilet" + } + }, + { + "id": 1322, + "video": "scannet/scene0550_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntissue dispenser beside the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "paper towel dispenser", + "object_bbox": [ + [ + 0.32027462124824524, + -0.6726552546024323, + 1.4392148852348328, + 0.28123652935028076, + 0.32224398851394653, + 0.35649049282073975 + ] + ] + }, + { + "object_id": [ + 3 + ], + "object_name": "bathroom stall door", + "object_bbox": [ + [ + 0.26480528712272644, + -0.13755574822425842, + 1.001435287296772, + 0.48562389612197876, + 0.61857670545578, + 1.5947120040655136 + ] + ] + } + ], + "target_object_id": 11, + "target_object_name": "paper" + } + }, + { + "id": 1323, + "video": "scannet/scene0063_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nRefrigerator next to the tissue dispenser ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 14 + ], + "object_name": "refrigerator", + "object_bbox": [ + [ + 2.0392897725105286, + -0.12760594487190247, + 0.8161463448777795, + 0.6371239423751831, + 0.8777368664741516, + 1.6535497289150953 + ] + ] + }, + { + "object_id": [ + 0 + ], + "object_name": "microwave", + "object_bbox": [ + [ + 2.4189916849136353, + 1.007783830165863, + 1.1875750422477722, + 0.23780322074890137, + 0.4112955331802368, + 0.3702610731124878 + ] + ] + } + ], + "target_object_id": 14, + "target_object_name": "refrigerator" + } + }, + { + "id": 1324, + "video": "scannet/scene0222_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbed oppossite to portable fan", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 5 + ], + "object_name": "bed", + "object_bbox": [ + [ + -1.133430004119873, + -2.049098253250122, + 0.4331735484302044, + 1.1708834171295166, + 2.3027520179748535, + 0.9508321061730385 + ] + ] + }, + { + "object_id": [ + 9 + ], + "object_name": "fan", + "object_bbox": [ + [ + -1.2733145952224731, + -0.25233888626098633, + 0.955166757106781, + 0.5771651268005371, + 0.2587900757789612, + 0.5789312124252319 + ] + ] + } + ], + "target_object_id": 5, + "target_object_name": "bed" + } + }, + { + "id": 1325, + "video": "scannet/scene0574_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndustbin beside the door", + "from": "human" + }, + { 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{ + "id": 1435, + "video": "scannet/scene0684_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nphone beside the tissue roll", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 15 + ], + "object_name": "telephone", + "object_bbox": [ + [ + 0.5341071933507919, + 1.245411455631256, + 0.8255934119224548, + 0.14230039715766907, + 0.2677501440048218, + 0.1891183853149414 + ] + ] + }, + { + "object_id": [ + 19 + ], + "object_name": "object", + "object_bbox": [ + [ + 0.7113284468650818, + 1.1437618136405945, + 0.8397839367389679, + 0.13740718364715576, + 0.14399826526641846, + 0.2116442322731018 + ] + ] + } + ], + "target_object_id": 15, + "target_object_name": "telephone" + } + }, + { + "id": 1436, + "video": "scannet/scene0629_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nThe side table is beside the Air bed", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 7 + ], + "object_name": "end table", + "object_bbox": [ + [ + 1.2354086935520172, + -2.3245835304260254, + 0.1685687117278576, + 0.5797922015190125, + 0.5832247734069824, + 0.4670623913407326 + ] + ] + }, + { + "object_id": [ + 3 + ], + "object_name": "mattress", + "object_bbox": [ + [ + -0.21223294734954834, + -2.258101165294647, + 0.6743308249861002, + 1.9168753623962402, + 0.6776086091995239, + 1.4342615716159344 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "end" + } + }, + { + "id": 1437, + "video": "scannet/scene0046_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwash basin beside the bath tub", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 37 + ], + "object_name": "sink", + "object_bbox": [ + [ + 0.7913303375244141, + -1.5304937362670898, + 0.7675840854644775, + 0.5081853866577148, + 0.648385763168335, + 0.1975240707397461 + ] + ] + }, + { + "object_id": [ + 2 + ], + "object_name": "bathtub", + "object_bbox": [ + [ + 0.5018421113491058, + -2.1277427077293396, + 0.3257803041487932, + 1.479469120502472, + 0.7596398591995239, + 0.7010150514543056 + ] + ] + } + ], + "target_object_id": 37, + "target_object_name": "sink" + } + }, + { + "id": 1438, + "video": "scannet/scene0574_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nIron table is beneath the iron box", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 16 + ], + "object_name": "ironing board", + "object_bbox": [ + [ + -0.8690373599529266, + -0.5975071787834167, + 0.7471746588125825, + 0.11449819803237915, + 0.4231860637664795, + 1.445254249498248 + ] + ] + }, + { + "object_id": [ + 12 + ], + "object_name": "iron", + "object_bbox": [ + [ + -0.8464960157871246, + -0.5685388892889023, + 1.7403282523155212, + 0.15288490056991577, + 0.17621317505836487, + 0.34116947650909424 + ] + ] + } + ], + "target_object_id": 16, + "target_object_name": "ironing" + } + }, + { + "id": 1439, + "video": "scannet/scene0550_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nRoom heater beside the trash bin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 10 + ], + "object_name": "radiator", + "object_bbox": [ + [ + -0.11413472890853882, + -0.9013867080211639, + 0.3677931856364012, + 1.001482605934143, + 0.2646961808204651, + 0.624518308788538 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.07268473505973816, + -0.7951109707355499, + 0.32805795362219214, + 0.49313604831695557, + 0.3576356768608093, + 0.6273211063817143 + ] + ] + } + ], + "target_object_id": 10, + "target_object_name": "radiator" + } + }, + { + "id": 1440, + "video": "scannet/scene0246_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntoilet close to the washbasin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 6 + ], + "object_name": "toilet", + "object_bbox": [ + [ + -0.16647997498512268, + 1.1014029383659363, + 0.3531229607760906, + 0.5690590143203735, + 0.7179573774337769, + 0.7775300517678261 + ] + ] + }, + { + "object_id": [ + 19 + ], + "object_name": "sink", + "object_bbox": [ + [ + -0.9642749726772308, + -0.1682254672050476, + 0.8821738660335541, + 0.4846418499946594, + 0.6243417263031006, + 0.3118444085121155 + ] + ] + } + ], + "target_object_id": 6, + "target_object_name": "toilet" + } + }, + { + "id": 1441, + "video": "scannet/scene0019_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndust bin is beside the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -2.003993034362793, + 1.5151090621948242, + 0.3071349118836224, + 0.5102705955505371, + 0.570009708404541, + 0.6425148537382483 + ] + ] + }, + { + "object_id": [ + 10 + ], + "object_name": "door", + "object_bbox": [ + [ + -1.311978816986084, + 1.6744543313980103, + 0.6911438070237637, + 1.1026966571807861, + 0.22808003425598145, + 1.4207695797085762 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "trash" + } + }, + { + "id": 1442, + "video": "scannet/scene0193_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nchair is close to the door ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 5 + ], + "object_name": "office chair", + "object_bbox": [ + [ + 0.785780280828476, + -0.004627436399459839, + 0.556472547352314, + 0.5610564351081848, + 0.5739952325820923, + 0.652217373251915 + ] + ] + }, + { + "object_id": [ + 2 + ], + "object_name": "door", + "object_bbox": [ + [ + 1.788124918937683, + 1.1530532538890839, + 0.9544250988401473, + 0.5604121685028076, + 1.1540327668190002, + 1.8805689765140414 + ] + ] + } + ], + "target_object_id": 5, + "target_object_name": "office" + } + }, + { + "id": 1443, + "video": "scannet/scene0574_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nIron box above the Ironing table ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 12 + ], + "object_name": "iron", + "object_bbox": [ + [ + -0.8464960157871246, + -0.5685388892889023, + 1.7403282523155212, + 0.15288490056991577, + 0.17621317505836487, + 0.34116947650909424 + ] + ] + }, + { + "object_id": [ + 16 + ], + "object_name": "ironing board", + "object_bbox": [ + [ + -0.8690373599529266, + -0.5975071787834167, + 0.7471746588125825, + 0.11449819803237915, + 0.4231860637664795, + 1.445254249498248 + ] + ] + } + ], + "target_object_id": 12, + "target_object_name": "iron" + } + }, + { + "id": 1444, + "video": "scannet/scene0084_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nSoap dispenser is near to the wash basin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 19 + ], + "object_name": "soap dispenser", + "object_bbox": [ + [ + 0.7722869515419006, + -0.47582481801509857, + 1.106527954339981, + 0.14020538330078125, + 0.16704145073890686, + 0.27831190824508667 + ] + ] + }, + { + "object_id": [ + 24 + ], + "object_name": "sink", + "object_bbox": [ + [ + 1.161183625459671, + -0.7353648543357849, + 0.6608219146728516, + 0.5012165904045105, + 0.42091917991638184, + 0.508381724357605 + ] + ] + } + ], + "target_object_id": 19, + "target_object_name": "soap" + } + }, + { + "id": 1445, + "video": "scannet/scene0568_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nStool close to the Curtain ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 6 + ], + "object_name": "table", + "object_bbox": [ + [ + -0.31729671359062195, + -2.7770047187805176, + 0.26550242910161614, + 0.5473311543464661, + 0.8569154739379883, + 0.5577209470793605 + ] + ] + }, + { + "object_id": [ + 26 + ], + "object_name": "curtain", + "object_bbox": [ + [ + 0.46546390652656555, + -3.194103717803955, + 1.3670440912246704, + 2.1132163405418396, + 0.35360193252563477, + 1.980266809463501 + ] + ] + } + ], + "target_object_id": 6, + "target_object_name": "table" + } + }, + { + "id": 1446, + "video": "scannet/scene0645_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbath tub is next to the toilet ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 18 + ], + "object_name": "bathtub", + "object_bbox": [ + [ + -2.2676629424095154, + -2.904291272163391, + 0.21721962094306946, + 0.7298680543899536, + 1.358196496963501, + 0.3699597716331482 + ] + ] + }, + { + "object_id": [ + 32 + ], + "object_name": "toilet", + "object_bbox": [ + [ + -1.5631877779960632, + -3.2739776372909546, + 0.33873596135526896, + 0.6435989141464233, + 0.690474271774292, + 0.7145373355597258 + ] + ] + } + ], + "target_object_id": 18, + "target_object_name": "bathtub" + } + }, + { + "id": 1447, + "video": "scannet/scene0558_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nBag beside the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "backpack", + "object_bbox": [ + [ + -0.4655614495277405, + 0.6608916372060776, + 0.572291910648346, + 0.4692258834838867, + 0.4795779287815094, + 0.35257887840270996 + ] + ] + }, + { + "object_id": [ + 12 + ], + "object_name": "table", + "object_bbox": [ + [ + -1.007640540599823, + -0.2407594919204712, + 0.3981744283810258, + 1.476518988609314, + 1.483978033065796, + 0.8471920024603605 + ] + ] + } + ], + "target_object_id": 11, + "target_object_name": "backpack" + } + }, + { + "id": 1448, + "video": "scannet/scene0633_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nClock opposite to sofa chair ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 13 + ], + "object_name": "clock", + "object_bbox": [ + [ + 1.3030589818954468, + -0.5868198424577713, + 1.8094860911369324, + 0.07345461845397949, + 0.2450636327266693, + 0.2510570287704468 + ] + ] + }, + { + "object_id": [ + 19 + ], + "object_name": "armchair", + "object_bbox": [ + [ + -0.9265428185462952, + 0.7752026915550232, + 0.42562107648700476, + 0.9722050428390503, + 0.9802888631820679, + 0.8826958257704973 + ] + ] + } + ], + "target_object_id": 13, + "target_object_name": "clock" + } + }, + { + "id": 1449, + "video": "scannet/scene0629_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nair bed is beside the vase", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 3 + ], + "object_name": "mattress", + "object_bbox": [ + [ + -0.21223294734954834, + -2.258101165294647, + 0.6743308249861002, + 1.9168753623962402, + 0.6776086091995239, + 1.4342615716159344 + ] + ] + }, + { + "object_id": [ + 29 + ], + "object_name": "plant", + "object_bbox": [ + [ + 1.2676398158073425, + -2.344131350517273, + 0.7088750302791595, + 0.4971195459365845, + 0.55464768409729, + 0.6618199944496155 + ] + ] + } + ], + "target_object_id": 3, + "target_object_name": "mattress" + } + }, + { + "id": 1450, + "video": "scannet/scene0702_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nToilet is beside the bath tub", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 5 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.280439592897892, + 0.6772171258926392, + 0.4009936470538378, + 0.5210473984479904, + 0.7163729667663574, + 0.8220282755792141 + ] + ] + }, + { + "object_id": [ + 9 + ], + "object_name": "bathtub", + "object_bbox": [ + [ + -0.6077346205711365, + 0.3025347590446472, + 0.16540128737688065, + 0.7465394735336304, + 1.4832013845443726, + 0.42084287106990814 + ] + ] + } + ], + "target_object_id": 5, + "target_object_name": "toilet" + } + }, + { + "id": 1451, + "video": "scannet/scene0430_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag on the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 23 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 2.303476333618164, + 1.8115631937980652, + 0.6839896142482758, + 0.40015459060668945, + 0.47591936588287354, + 0.40170425176620483 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "chair", + "object_bbox": [ + [ + 2.322327494621277, + 1.7747750282287598, + 0.48309945315122604, + 0.6041004657745361, + 0.5636544227600098, + 0.8359977155923843 + ] + ] + } + ], + "target_object_id": 11, + "target_object_name": "chair" + } + }, + { + "id": 1452, + "video": "scannet/scene0084_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwash basin is beside hand soap dispenser", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 24 + ], + "object_name": "sink", + "object_bbox": [ + [ + 1.161183625459671, + -0.7353648543357849, + 0.6608219146728516, + 0.5012165904045105, + 0.42091917991638184, + 0.508381724357605 + ] + ] + }, + { + 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"conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\npaper dispenser is beside to the dust bin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 18 + ], + "object_name": "paper towel dispenser", + "object_bbox": [ + [ + -0.8580222725868225, + 1.6444790959358215, + 1.0012624263763428, + 0.26634514331817627, + 0.34309566020965576, + 0.4268195629119873 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.9711199104785919, + 2.0060700178146362, + 0.8853275924921036, + 0.2676376700401306, + 0.49335217475891113, + 1.0055672824382782 + ] + ] + } + ], + "target_object_id": 18, + "target_object_name": "paper" + } + }, + { + "id": 1518, + "video": "scannet/scene0663_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntelephone beside the desktop", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 34 + ], + "object_name": "telephone", + "object_bbox": [ + [ + 1.190774142742157, + 0.7962397336959839, + 0.7517998814582825, + 0.23728811740875244, + 0.269433856010437, + 0.13055455684661865 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "monitor", + "object_bbox": [ + [ + 1.2922976613044739, + 1.2354710698127747, + 0.9945021569728851, + 0.18110382556915283, + 0.6161168813705444, + 0.5311346650123596 + ] + ] + } + ], + "target_object_id": 34, + "target_object_name": "telephone" + } + }, + { + "id": 1519, + "video": "scannet/scene0338_00", + "conversations": [ + { + "value": "Locate 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and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndustbin is beside the cummode", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 22 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 0.7072450518608093, + -0.09754101932048798, + 0.14284771773964167, + 0.10318386554718018, + 0.29062992334365845, + 0.32710915617644787 + ] + ] + }, + { + "object_id": [ + 0 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.41003499273210764, + 0.25420829746872187, + 0.3585920315235853, + 0.7628206443041563, + 0.4507314544171095, + 0.7815882004797459 + ] + ] + } + ], + "target_object_id": 22, + "target_object_name": "trash" + } + }, + { + "id": 1522, + "video": "scannet/scene0221_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\niron box next to the iron table ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 33 + ], + "object_name": "iron", + "object_bbox": [ + [ + 1.1196430325508118, + -2.7139527797698975, + 1.5709797143936157, + 0.11140835285186768, + 0.14650201797485352, + 0.24678778648376465 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "ironing board", + "object_bbox": [ + [ + 1.3870700001716614, + -2.7236533164978027, + 1.0909848511219025, + 0.41612255573272705, + 0.14127063751220703, + 1.3082203269004822 + ] + ] + } + ], + "target_object_id": 33, + "target_object_name": "iron" + } + }, + { + "id": 1523, + "video": "scannet/scene0426_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nTV on drawers", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 35 + ], + "object_name": "tv", + "object_bbox": [ + [ + -0.5813586711883545, + -1.662696659564972, + 1.148691713809967, + 0.9401631355285645, + 0.09138023853302002, + 0.5906609296798706 + ] + ] + }, + { + "object_id": [ + 8 + ], + "object_name": "dresser", + "object_bbox": [ + [ + -0.6747252345085144, + -1.6707767844200134, + 0.3788657361874357, + 1.307757019996643, + 0.5327192544937134, + 0.7520142446737736 + ] + ] + } + ], + "target_object_id": 35, + "target_object_name": "tv" + } + }, + { + "id": 1524, + "video": "scannet/scene0559_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ncardboard box opposite to white board", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "box", + "object_bbox": [ + [ + -0.23487703502178192, + 2.2421449422836304, + 0.8206458985805511, + 0.45036718249320984, + 0.5369222164154053, + 0.389578640460968 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "whiteboard", + "object_bbox": [ + [ + -0.10632449388504028, + 2.944137454032898, + 1.2811736762523651, + 0.9916298389434814, + 0.1711595058441162, + 1.479075014591217 + ] + ] + } + ], + "target_object_id": 11, + "target_object_name": "box" + } + }, + { + "id": 1525, + "video": "scannet/scene0574_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntrash bin close to the washbasin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 14 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.7849007844924927, + 0.3529239222407341, + 0.15995457861572504, + 0.23659324645996094, + 0.3656708151102066, + 0.3015360813587904 + ] + ] + }, + { + "object_id": [ + 6 + ], + "object_name": "sink", + "object_bbox": [ + [ + -0.4761383533477783, + 0.7235398292541504, + 0.6717582046985626, + 0.41863489151000977, + 0.2783702611923218, + 0.18757003545761108 + ] + ] + } + ], + "target_object_id": 14, + "target_object_name": "trash" + } + }, + { + "id": 1526, + "video": "scannet/scene0599_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwhite board is infront of tv", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 4 + ], + "object_name": "whiteboard", + "object_bbox": [ + [ + 0.3065662384033203, + -2.378206253051758, + 1.331812560558319, + 2.0052504539489746, + 0.09741878509521484, + 0.868636965751648 + ] + ] + }, + { + "object_id": [ + 2 + ], + "object_name": "tv", + "object_bbox": [ + [ + 0.24939703941345215, + 2.456266760826111, + 1.3531558811664581, + 1.241109013557434, + 0.1697995662689209, + 0.8489715456962585 + ] + ] + } + ], + "target_object_id": 4, + "target_object_name": "whiteboard" + } + }, + { + "id": 1527, + "video": "scannet/scene0702_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntoilet beside the dustbin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + 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"conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nTissue roller is near to the toilet", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 14 + ], + "object_name": "toilet paper", + "object_bbox": [ + [ + -1.2999787330627441, + -0.48770810663700104, + 0.48967407643795013, + 0.11052513122558594, + 0.16187140345573425, + 0.3342854082584381 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "toilet", + "object_bbox": [ + [ + -1.008348524570465, + -0.0004597604274749756, + 0.31100786849856377, + 0.7156263589859009, + 0.5161067247390747, + 0.64966831356287 + ] + ] + } + ], + "target_object_id": 14, + "target_object_name": "toilet" + } + }, + { + "id": 1568, + "video": "scannet/scene0616_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nLamp on the table ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 31 + ], + "object_name": "lamp", + "object_bbox": [ + [ + -2.6198179721832275, + 1.5017396211624146, + 1.0905600488185883, + 0.3744072914123535, + 0.36558961868286133, + 0.5929997563362122 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "table", + "object_bbox": [ + [ + -2.3786650896072388, + 1.3289854526519775, + 0.4162025195546448, + 1.0763194561004639, + 1.073915958404541, + 0.8512886082753539 + ] + ] + } + ], + "target_object_id": 31, + "target_object_name": "lamp" + } + }, + { + "id": 1569, + "video": "scannet/scene0552_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following 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name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntrash bin is next to air conditioner", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 7 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.07268473505973816, + -0.7951109707355499, + 0.32805795362219214, + 0.49313604831695557, + 0.3576356768608093, + 0.6273211063817143 + ] + ] + }, + { + "object_id": [ + 10 + ], + "object_name": "radiator", + "object_bbox": [ + [ + -0.11413472890853882, + -0.9013867080211639, + 0.3677931856364012, + 1.001482605934143, + 0.2646961808204651, + 0.624518308788538 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "trash" + } + }, + { + "id": 1571, + "video": "scannet/scene0608_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the 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y2, z2).\nthe microwave is above the stove", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 6 + ], + "object_name": "microwave", + "object_bbox": [ + [ + -1.9242226481437683, + 0.5076774340122938, + 1.564870297908783, + 0.12242639064788818, + 0.8937959708273411, + 0.46905577182769775 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "stove", + "object_bbox": [ + [ + -1.9441027641296387, + 0.5588124506175518, + 0.6298742429353297, + 0.7387123107910156, + 0.9873064532876015, + 1.281023713760078 + ] + ] + } + ], + "target_object_id": 6, + "target_object_name": "microwave" + } + }, + { + "id": 1578, + "video": "scannet/scene0300_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nBag is on the table", + "from": 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following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntelephone above the drawer unit ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 22 + ], + "object_name": "telephone", + "object_bbox": [ + [ + -0.8196269571781158, + -1.7002260088920593, + 1.0311700999736786, + 0.1363404393196106, + 0.09171402454376221, + 0.4815276265144348 + ] + ] + }, + { + "object_id": [ + 15 + ], + "object_name": "dresser", + "object_bbox": [ + [ + -0.6679753065109253, + -1.4246395826339722, + 0.3794793493580073, + 0.7041940689086914, + 0.6305074691772461, + 0.773350237403065 + ] + ] + } + ], + "target_object_id": 22, + "target_object_name": "telephone" + } + }, + { + "id": 1692, + "video": "scannet/scene0086_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output 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and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndustbin is beside the toilet", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 3 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.472196351736784, + 0.19066043011844158, + 0.3740422362461686, + 0.7439732328057289, + 0.4476778842508793, + 0.7911079656332731 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 0.729112446308136, + 0.546811655163765, + 0.15286637051030993, + 0.16377508640289307, + 0.32335588335990906, + 0.32558851037174463 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "trash" + } + }, + { + "id": 1694, + "video": "scannet/scene0377_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, 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"target_object_id": 26, + "target_object_name": "tv" + } + }, + { + "id": 1772, + "video": "scannet/scene0474_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nblack colour couch is opposite to the door ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 3 + ], + "object_name": "couch", + "object_bbox": [ + [ + -0.20400536060333252, + 2.173891603946686, + 0.3526357375085354, + 2.407236099243164, + 1.6533297300338745, + 0.7985124662518501 + ] + ] + }, + { + "object_id": [ + 19 + ], + "object_name": "door", + "object_bbox": [ + [ + -0.5605243444442749, + -2.420022130012512, + 1.0784313222393394, + 1.0789401531219482, + 0.13449597358703613, + 2.1831546742469072 + ] + ] + } + ], + "target_object_id": 3, + 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"id": 1774, + "video": "scannet/scene0580_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag on the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 16 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 0.7441395819187164, + 1.4123693108558655, + 0.8297772407531738, + 0.38699501752853394, + 0.31686389446258545, + 0.45725131034851074 + ] + ] + }, + { + "object_id": [ + 4 + ], + "object_name": "chair", + "object_bbox": [ + [ + 0.7324062287807465, + 1.3782591819763184, + 0.6761839650571346, + 0.47126322984695435, + 0.566948413848877, + 1.1735379174351692 + ] + ] + } + ], + "target_object_id": 16, + "target_object_name": "backpack" + } + }, + { + "id": 1775, + "video": "scannet/scene0277_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nroom heater next to the bed", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 12 + ], + "object_name": "radiator", + "object_bbox": [ + [ + 0.28591904044151306, + 2.006439507007599, + 0.3890387825667858, + 0.8906150460243225, + 0.16603076457977295, + 0.6364850178360939 + ] + ] + }, + { + "object_id": [ + 1 + ], + "object_name": "bed", + "object_bbox": [ + [ + -0.9585050940513611, + 0.9494337141513824, + 0.545517744962126, + 1.0908905267715454, + 2.3031455874443054, + 1.1121197892352939 + ] + ] + } + ], + "target_object_id": 12, + "target_object_name": "radiator" + } + }, + { + "id": 1776, + "video": "scannet/scene0670_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nTrash bin beside the apron", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 25 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 1.8146286606788635, + 1.0633473992347717, + 0.2918496113270521, + 0.454065203666687, + 0.44244325160980225, + 0.5039427317678928 + ] + ] + }, + { + "object_id": [ + 22 + ], + "object_name": "kitchen apron", + "object_bbox": [ + [ + 1.9528836607933044, + 1.4717183709144592, + 0.7571472078561783, + 0.18063652515411377, + 0.32609331607818604, + 1.002360314130783 + ] + ] + } + ], + "target_object_id": 25, + "target_object_name": "trash" + } + }, + { + "id": 1777, + "video": "scannet/scene0535_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\n Photo frame on the cupboard", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 27 + ], + "object_name": "picture", + "object_bbox": [ + [ + -1.0238949060440063, + -2.0962843894958496, + 0.7271442413330078, + 0.12878036499023438, + 0.2220592498779297, + 0.1788238286972046 + ] + ] + }, + { + "object_id": [ + 6 + ], + "object_name": "shelf", + "object_bbox": [ + [ + -0.9493514597415924, + -2.009420931339264, + 0.214655339717865, + 0.530174195766449, + 0.9262593984603882, + 1.0150697231292725 + ] + ] + } + ], + "target_object_id": 27, + "target_object_name": "picture" + } + }, + { + "id": 1778, + "video": "scannet/scene0696_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nstorage cabinet opposite to table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 21 + ], + "object_name": "cabinet", + "object_bbox": [ + [ + -2.208888292312622, + -2.253742039203644, + 0.6540795741602778, + 0.7886385917663574, + 1.8021382093429565, + 1.3401910904794931 + ] + ] + }, + { + "object_id": [ + 17 + ], + "object_name": "table", + "object_bbox": [ + [ + -0.38137519359588623, + -0.681357741355896, + 0.38490651082247496, + 1.5860707759857178, + 2.9532454013824463, + 0.8057865295559168 + ] + ] + } + ], + "target_object_id": 21, + "target_object_name": "cabinet" + } + }, + { + "id": 1779, + "video": "scannet/scene0643_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, 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"metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 1 + ], + "object_name": "chair", + "object_bbox": [ + [ + 0.07446125149726868, + 1.9624016880989075, + 0.5609199665486813, + 0.7342317700386047, + 0.6752690076828003, + 1.0239451602101326 + ] + ] + }, + { + "object_id": [ + 3 + ], + "object_name": "monitor", + "object_bbox": [ + [ + 0.4116962254047394, + 1.656493902206421, + 1.305839478969574, + 0.2095664143562317, + 0.5845046043395996, + 0.4966012239456177 + ] + ] + } + ], + "target_object_id": 1, + "target_object_name": "chair" + } + }, + { + "id": 1782, + "video": "scannet/scene0149_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nrefrigerator close to the microwave", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 1 + ], + "object_name": "refrigerator", + "object_bbox": [ + [ + -1.4164393246173859, + -1.028797060251236, + 0.7888616137206554, + 0.8631107211112976, + 0.7704359889030457, + 1.5976620092988014 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "microwave", + "object_bbox": [ + [ + -1.5874403715133667, + -0.016225963830947876, + 1.5500420331954956, + 0.1459484100341797, + 0.8008409738540649, + 0.4470984935760498 + ] + ] + } + ], + "target_object_id": 1, + "target_object_name": "refrigerator" + } + }, + { + "id": 1783, + "video": "scannet/scene0019_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nvending machine near to the lamp ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": 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"object_bbox": [ + [ + 0.9097361266613007, + 1.366543710231781, + 0.5560192614793777, + 0.2990930676460266, + 0.33282434940338135, + 0.4355451762676239 + ] + ] + }, + { + "object_id": [ + 2 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.6786366254091263, + 1.7567964792251587, + 0.7763022631406784, + 0.7432249486446381, + 0.5595767498016357, + 0.7602891027927399 + ] + ] + } + ], + "target_object_id": 21, + "target_object_name": "trash" + } + }, + { + "id": 1786, + "video": "scannet/scene0647_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag next to the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 21 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 2.0630505084991455, + 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1.6622730866074562 + ] + ] + }, + { + "object_id": [ + 19 + ], + "object_name": "microwave", + "object_bbox": [ + [ + 2.0400599241256714, + -0.3925723135471344, + 1.058558464050293, + 0.42701172828674316, + 0.5742562413215637, + 0.3232297897338867 + ] + ] + } + ], + "target_object_id": 12, + "target_object_name": "refrigerator" + } + }, + { + "id": 1789, + "video": "scannet/scene0684_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntelephone above the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 15 + ], + "object_name": "telephone", + "object_bbox": [ + [ + 0.5341071933507919, + 1.245411455631256, + 0.8255934119224548, + 0.14230039715766907, + 0.2677501440048218, + 0.1891183853149414 + ] + ] + }, + { + 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1.0784313222393394, + 1.0789401531219482, + 0.13449597358703613, + 2.1831546742469072 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "bookshelf" + } + }, + { + "id": 1793, + "video": "scannet/scene0435_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntoilet beside bathtub", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 12 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.9244442582130432, + -3.541760563850403, + 0.37548727029934525, + 0.7777296304702759, + 0.44121813774108887, + 0.7749417973682284 + ] + ] + }, + { + "object_id": [ + 9 + ], + "object_name": "bathtub", + "object_bbox": [ + [ + 0.5787405893206596, + -4.32720673084259, + 0.21889841835945845, + 1.3936469703912735, + 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"target_object_id": 25, + "target_object_name": "trash" + } + }, + { + "id": 1796, + "video": "scannet/scene0329_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nfire extinguisher is back of sofa", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 16 + ], + "object_name": "object", + "object_bbox": [ + [ + 0.2930319979786873, + 3.0525869131088257, + 0.8308069407939911, + 0.1579795926809311, + 0.18173480033874512, + 0.2869378924369812 + ] + ] + }, + { + "object_id": [ + 1 + ], + "object_name": "couch", + "object_bbox": [ + [ + 0.3381606638431549, + 2.650144934654236, + 0.3820418305695057, + 2.111461818218231, + 1.2262952327728271, + 0.8752719983458519 + ] + ] + } + ], + "target_object_id": 16, + "target_object_name": 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"conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntelevision is on the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "tv", + "object_bbox": [ + [ + -2.5450901985168457, + -1.606684684753418, + 1.0472895503044128, + 1.041576862335205, + 0.3218555450439453, + 0.737235426902771 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "tv stand", + "object_bbox": [ + [ + -2.488241732120514, + -1.4437221884727478, + 0.4217158928513527, + 1.219943881034851, + 0.48592865467071533, + 0.6460763663053513 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "tv" + } + }, + { + "id": 1800, + "video": "scannet/scene0549_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nFlower vase is on the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 20 + ], + "object_name": "plant", + "object_bbox": [ + [ + 1.9233769178390503, + -0.8429989218711853, + 1.0080488920211792, + 0.3161909580230713, + 0.3958526849746704, + 0.5635621547698975 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "end table", + "object_bbox": [ + [ + 1.9018443822860718, + -0.834544837474823, + 0.3952902741730213, + 0.6700184345245361, + 0.6740580797195435, + 0.6954104527831078 + ] + ] + } + ], + "target_object_id": 20, + "target_object_name": "plant" + } + }, + { + "id": 1801, + "video": "scannet/scene0187_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntable closes to bag", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "table", + "object_bbox": [ + [ + 1.6885866522789001, + 0.7466109693050385, + 0.4226117036305368, + 1.1140257120132446, + 1.2670767903327942, + 0.8285052971914411 + ] + ] + }, + { + "object_id": [ + 4 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 1.2174910306930542, + 0.15988733619451523, + 0.19449466979131103, + 0.42379188537597656, + 0.46397824585437775, + 0.41581707168370485 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "table" + } + }, + { + "id": 1802, + "video": "scannet/scene0535_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nFrame is beside to the tape dispenser", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 27 + ], + "object_name": "picture", + "object_bbox": [ + [ + -1.0238949060440063, + -2.0962843894958496, + 0.7271442413330078, + 0.12878036499023438, + 0.2220592498779297, + 0.1788238286972046 + ] + ] + }, + { + "object_id": [ + 28 + ], + "object_name": "object", + "object_bbox": [ + [ + -0.9576018452644348, + -1.6970523595809937, + 0.7352427840232849, + 0.15983641147613525, + 0.0841817855834961, + 0.060945987701416016 + ] + ] + } + ], + "target_object_id": 27, + "target_object_name": "picture" + } + }, + { + "id": 1803, + "video": "scannet/scene0643_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nWhite board 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stool", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 6 + ], + "object_name": "backpack", + "object_bbox": [ + [ + -0.9789709448814392, + 1.4004284143447876, + 0.6880953460931778, + 0.43551862239837646, + 0.4132874011993408, + 0.4368884265422821 + ] + ] + }, + { + "object_id": [ + 2 + ], + "object_name": "table", + "object_bbox": [ + [ + -0.2753843069076538, + 0.03757035732269287, + 0.22983872052282095, + 1.211931586265564, + 1.1667039394378662, + 0.4929441977292299 + ] + ] + } + ], + "target_object_id": 6, + "target_object_name": "backpack" + } + }, + { + "id": 1805, + "video": "scannet/scene0382_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nchair next to the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 4 + ], + "object_name": "chair", + "object_bbox": [ + [ + -0.49538084864616394, + -0.7511714100837708, + 0.5459152013063431, + 0.41002756357192993, + 0.5942391157150269, + 0.5465691983699799 + ] + ] + }, + { + "object_id": [ + 0 + ], + "object_name": "desk", + "object_bbox": [ + [ + -0.7141302227973938, + 0.26514874398708344, + 0.37699502846226096, + 1.065451979637146, + 1.291930228471756, + 0.7679454060271382 + ] + ] + } + ], + "target_object_id": 4, + "target_object_name": "chair" + } + }, + { + "id": 1806, + "video": "scannet/scene0565_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nComputer beside the printer ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": 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"locate3d", + "object": [ + { + "object_id": [ + 26 + ], + "object_name": "keyboard", + "object_bbox": [ + [ + -0.9063741266727448, + -1.062989205121994, + 0.651279628276825, + 0.18335384130477905, + 0.4372630715370178, + 0.03429770469665527 + ] + ] + }, + { + "object_id": [ + 6 + ], + "object_name": "office chair", + "object_bbox": [ + [ + -0.17164194583892822, + -1.1332685351371765, + 0.4671914651989937, + 0.6670800447463989, + 0.6125568151473999, + 1.0623905509710312 + ] + ] + } + ], + "target_object_id": 6, + "target_object_name": "office" + } + }, + { + "id": 1808, + "video": "scannet/scene0353_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nThe calendar near the couch", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + 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0.41703760623931885, + 0.39445048570632935, + 0.41682249307632446 + ] + ] + } + ], + "target_object_id": 5, + "target_object_name": "backpack" + } + }, + { + "id": 1818, + "video": "scannet/scene0389_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ncurtain is above the radiator ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 25 + ], + "object_name": "curtain", + "object_bbox": [ + [ + -0.976324737071991, + -2.8091938495635986, + 1.2495196759700775, + 1.5084718465805054, + 0.31345510482788086, + 1.6593573689460754 + ] + ] + }, + { + "object_id": [ + 26 + ], + "object_name": "radiator", + "object_bbox": [ + [ + -1.010943353176117, + -2.835643768310547, + 0.12127206847071648, + 1.0752285718917847, + 0.2181258201599121, + 0.4330776110291481 + ] + ] + } + ], + "target_object_id": 25, + "target_object_name": "curtain" + } + }, + { + "id": 1819, + "video": "scannet/scene0382_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndesk is next to the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 0 + ], + "object_name": "desk", + "object_bbox": [ + [ + -0.7141302227973938, + 0.26514874398708344, + 0.37699502846226096, + 1.065451979637146, + 1.291930228471756, + 0.7679454060271382 + ] + ] + }, + { + "object_id": [ + 4 + ], + "object_name": "chair", + "object_bbox": [ + [ + -0.49538084864616394, + -0.7511714100837708, + 0.5459152013063431, + 0.41002756357192993, + 0.5942391157150269, + 0.5465691983699799 + ] + ] + } 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"target_object_name": "shelf" + } + }, + { + "id": 1821, + "video": "scannet/scene0535_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nphoto frame on a table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 27 + ], + "object_name": "picture", + "object_bbox": [ + [ + -1.0238949060440063, + -2.0962843894958496, + 0.7271442413330078, + 0.12878036499023438, + 0.2220592498779297, + 0.1788238286972046 + ] + ] + }, + { + "object_id": [ + 6 + ], + "object_name": "shelf", + "object_bbox": [ + [ + -0.9493514597415924, + -2.009420931339264, + 0.214655339717865, + 0.530174195766449, + 0.9262593984603882, + 1.0150697231292725 + ] + ] + } + ], + "target_object_id": 27, + "target_object_name": "picture" + } + }, + { + "id": 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+ { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag on a chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 23 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 2.303476333618164, + 1.8115631937980652, + 0.6839896142482758, + 0.40015459060668945, + 0.47591936588287354, + 0.40170425176620483 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "chair", + "object_bbox": [ + [ + 2.322327494621277, + 1.7747750282287598, + 0.48309945315122604, + 0.6041004657745361, + 0.5636544227600098, + 0.8359977155923843 + ] + ] + } + ], + "target_object_id": 23, + "target_object_name": "backpack" + } + }, + { + "id": 1825, + "video": "scannet/scene0256_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nrack stand is beside to the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 6 + ], + "object_name": "tray rack", + "object_bbox": [ + [ + -0.14847132563591003, + -0.6034976541996002, + 0.40620339242741466, + 0.5253444314002991, + 0.47103625535964966, + 0.8311967784538865 + ] + ] + }, + { + "object_id": [ + 0 + ], + "object_name": "table", + "object_bbox": [ + [ + -0.612687349319458, + 0.3343026638031006, + 0.4431933080777526, + 1.6848087310791016, + 1.7892396450042725, + 0.9307333398610353 + ] + ] + } + ], + "target_object_id": 6, + "target_object_name": "tray" + } + }, + { + "id": 1826, + "video": "scannet/scene0019_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndoor close to dustbin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 10 + ], + "object_name": "door", + "object_bbox": [ + [ + -1.311978816986084, + 1.6744543313980103, + 0.6911438070237637, + 1.1026966571807861, + 0.22808003425598145, + 1.4207695797085762 + ] + ] + }, + { + "object_id": [ + 8 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -2.003993034362793, + 1.5151090621948242, + 0.3071349118836224, + 0.5102705955505371, + 0.570009708404541, + 0.6425148537382483 + ] + ] + } + ], + "target_object_id": 10, + "target_object_name": "door" + } + }, + { + "id": 1827, + "video": "scannet/scene0663_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, 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"Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nside table under the bed", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "dresser", + "object_bbox": [ + [ + -0.4774612635374069, + 0.3060928285121918, + 0.4022173434495926, + 0.1378500759601593, + 0.8723674416542053, + 0.7645057141780853 + ] + ] + }, + { + "object_id": [ + 1 + ], + "object_name": "bed", + "object_bbox": [ + [ + -0.9585050940513611, + 0.9494337141513824, + 0.545517744962126, + 1.0908905267715454, + 2.3031455874443054, + 1.1121197892352939 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "dresser" + } + }, + { + "id": 1850, + "video": "scannet/scene0139_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following 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output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwhite board infront of table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 7 + ], + "object_name": "whiteboard", + "object_bbox": [ + [ + -0.10632449388504028, + 2.944137454032898, + 1.2811736762523651, + 0.9916298389434814, + 0.1711595058441162, + 1.479075014591217 + ] + ] + }, + { + "object_id": [ + 10 + ], + "object_name": "table", + "object_bbox": [ + [ + -0.20126470923423767, + 1.6529157757759094, + 0.3752585034817457, + 0.8457940220832825, + 1.6508020162582397, + 0.8057966269552708 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "whiteboard" + } + }, + { + "id": 1852, + "video": "scannet/scene0222_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box 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"dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 13 + ], + "object_name": "table", + "object_bbox": [ + [ + 0.13736306130886078, + -0.17095136642456055, + 0.37572927959263325, + 1.0351631939411163, + 2.123023271560669, + 0.7846092842519283 + ] + ] + }, + { + "object_id": [ + 0 + ], + "object_name": "plant", + "object_bbox": [ + [ + 0.13311642035841942, + -0.18708708882331848, + 0.9980209767818451, + 0.4286651685833931, + 0.524509608745575, + 0.5968251824378967 + ] + ] + } + ], + "target_object_id": 0, + "target_object_name": "plant" + } + }, + { + "id": 1857, + "video": "scannet/scene0558_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag is on the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": 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+ "object_bbox": [ + [ + -1.0730156004428864, + -2.1785807013511658, + 0.18621741235256195, + 0.37364906072616577, + 0.4002648591995239, + 0.4083928167819977 + ] + ] + }, + { + "object_id": [ + 19 + ], + "object_name": "laundry hamper", + "object_bbox": [ + [ + -1.1857659220695496, + -1.5289421081542969, + 0.23188968747854233, + 0.507128119468689, + 0.5087659358978271, + 0.5241177827119827 + ] + ] + } + ], + "target_object_id": 16, + "target_object_name": "trash" + } + }, + { + "id": 1860, + "video": "scannet/scene0278_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbroom stick beside xerox machine", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "copier", + "object_bbox": [ + [ + 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0.5832684725755826, + 0.9589669108390808, + 0.39070188999176025, + 1.1691995679866523 + ] + ] + }, + { + "object_id": [ + 4 + ], + "object_name": "chair", + "object_bbox": [ + [ + -0.49538084864616394, + -0.7511714100837708, + 0.5459152013063431, + 0.41002756357192993, + 0.5942391157150269, + 0.5465691983699799 + ] + ] + } + ], + "target_object_id": 4, + "target_object_name": "chair" + } + }, + { + "id": 1862, + "video": "scannet/scene0693_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwashbasin beside the toilet ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 6 + ], + "object_name": "sink", + "object_bbox": [ + [ + -0.4426247775554657, + 0.8682216107845306, + 0.7289268970489502, + 0.40645474195480347, + 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"conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nflower vase on the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 20 + ], + "object_name": "plant", + "object_bbox": [ + [ + 1.9233769178390503, + -0.8429989218711853, + 1.0080488920211792, + 0.3161909580230713, + 0.3958526849746704, + 0.5635621547698975 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "end table", + "object_bbox": [ + [ + 1.9018443822860718, + -0.834544837474823, + 0.3952902741730213, + 0.6700184345245361, + 0.6740580797195435, + 0.6954104527831078 + ] + ] + } + ], + "target_object_id": 20, + "target_object_name": "plant" + } + }, + { + "id": 1884, + "video": "scannet/scene0063_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nRefrigerator is beside the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 14 + ], + "object_name": "refrigerator", + "object_bbox": [ + [ + 2.0392897725105286, + -0.12760594487190247, + 0.8161463448777795, + 0.6371239423751831, + 0.8777368664741516, + 1.6535497289150953 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "door", + "object_bbox": [ + [ + 2.417689323425293, + -1.0371732711791992, + 0.7168399849906564, + 0.2437286376953125, + 1.0350286960601807, + 1.4075001161545515 + ] + ] + } + ], + "target_object_id": 14, + "target_object_name": "refrigerator" + } + }, + { + "id": 1885, + "video": "scannet/scene0025_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following 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"value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 7 + ], + "object_name": "urinal", + "object_bbox": [ + [ + -0.7379631102085114, + 0.5863357484340668, + 0.66131991147995, + 0.36910539865493774, + 0.3413800597190857, + 0.701614260673523 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "sink", + "object_bbox": [ + [ + -0.6883687376976013, + -0.16587048768997192, + 0.5956321656703949, + 0.46413350105285645, + 0.5571119785308838, + 0.6584669947624207 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "urinal" + } + }, + { + "id": 1890, + "video": "scannet/scene0427_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndust bin beside to the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": 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"question_type": "locate3d", + "object": [ + { + "object_id": [ + 24 + ], + "object_name": "picture", + "object_bbox": [ + [ + -2.104437828063965, + 1.0154456496238708, + 1.3420363664627075, + 0.050960540771484375, + 0.5525902509689331, + 0.27734947204589844 + ] + ] + }, + { + "object_id": [ + 8 + ], + "object_name": "blanket", + "object_bbox": [ + [ + -0.45807337760925293, + 0.8609159253537655, + 0.4116836185567081, + 1.477853775024414, + 1.493143267929554, + 0.8083707103505731 + ] + ] + }, + { + "object_id": [ + 12 + ], + "object_name": "bed", + "object_bbox": [ + [ + -1.1124997735023499, + 0.9172233790159225, + 0.48083759797737, + 1.8740266561508179, + 1.4266583025455475, + 0.937986702658236 + ] + ] + } + ], + "target_object_id": 24, + "target_object_name": "picture" + } + }, + { + "id": 1893, + "video": "scannet/scene0406_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\npaper roller beside toilet", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 19 + ], + "object_name": "toilet paper", + "object_bbox": [ + [ + 0.8172206580638885, + 0.5759686231613159, + 0.489763543009758, + 0.12610942125320435, + 0.14566314220428467, + 0.08222630620002747 + ] + ] + }, + { + "object_id": [ + 3 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.472196351736784, + 0.19066043011844158, + 0.3740422362461686, + 0.7439732328057289, + 0.4476778842508793, + 0.7911079656332731 + ] + ] + } + ], + "target_object_id": 19, + "target_object_name": "toilet" + } + }, + { + "id": 1894, + "video": "scannet/scene0406_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nToilet seat is 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+ "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 0 + ], + "object_name": "copier", + "object_bbox": [ + [ + 0.9980362355709076, + 0.029154449701309204, + 1.0311027765274048, + 0.5695281624794006, + 0.6008793115615845, + 0.6926331520080566 + ] + ] + }, + { + "object_id": [ + 16 + ], + "object_name": "table", + "object_bbox": [ + [ + 0.8030641674995422, + 0.1314505934715271, + 0.7057238221168518, + 0.28622913360595703, + 1.0141663551330566, + 0.08738720417022705 + ] + ] + } + ], + "target_object_id": 0, + "target_object_name": "copier" + } + }, + { + "id": 1896, + "video": "scannet/scene0664_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntissue roll is beside the toilet", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 21 + ], + "object_name": "toilet paper", + "object_bbox": [ + [ + 0.7377465069293976, + -0.16244471818208694, + 0.45842231810092926, + 0.10947149991989136, + 0.1529267579317093, + 0.11597153544425964 + ] + ] + }, + { + "object_id": [ + 0 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.41003499273210764, + 0.25420829746872187, + 0.3585920315235853, + 0.7628206443041563, + 0.4507314544171095, + 0.7815882004797459 + ] + ] + } + ], + "target_object_id": 21, + "target_object_name": "toilet" + } + }, + { + "id": 1897, + "video": "scannet/scene0084_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndustbin under the washbasin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 25 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 0.8772255182266235, + -0.7641662657260895, + 0.1946567129343748, + 0.26868534088134766, + 0.37067800760269165, + 0.40819302573800087 + ] + ] + }, + { + "object_id": [ + 24 + ], + "object_name": "sink", + "object_bbox": [ + [ + 1.161183625459671, + -0.7353648543357849, + 0.6608219146728516, + 0.5012165904045105, + 0.42091917991638184, + 0.508381724357605 + ] + ] + } + ], + "target_object_id": 25, + "target_object_name": "trash" + } + }, + { + "id": 1898, + "video": "scannet/scene0441_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nTrash bin opposite to toilet", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 9 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 1.1160553693771362, + -1.7419306635856628, + 0.36757226567715406, + 0.491940975189209, + 0.45703017711639404, + 0.7159390095621347 + ] + ] + }, + { + "object_id": [ + 8 + ], + "object_name": "toilet", + "object_bbox": [ + [ + -0.5611693561077118, + 1.9642786383628845, + 0.2654105192050338, + 0.675210177898407, + 0.36762773990631104, + 0.4979315269738436 + ] + ] + } + ], + "target_object_id": 9, + "target_object_name": "trash" + } + }, + { + "id": 1899, + "video": "scannet/scene0249_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nBlue trash bin is beside the folding table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + 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0.8279834687709808, + 1.5510667562484741, + 0.6197106838226318, + 0.2747672200202942 + ] + ] + } + ], + "target_object_id": 4, + "target_object_name": "jacket" + } + }, + { + "id": 2014, + "video": "scannet/scene0355_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nPlant pot is near to the round table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 10 + ], + "object_name": "plant", + "object_bbox": [ + [ + 2.40188992023468, + 0.3504095380194485, + 0.8303570933640003, + 0.723529577255249, + 0.6734746089205146, + 1.760946236550808 + ] + ] + }, + { + "object_id": [ + 16 + ], + "object_name": "table", + "object_bbox": [ + [ + 1.2575067579746246, + 0.05951887369155884, + 0.32362785562872887, + 1.1938344836235046, + 1.2115546464920044, + 0.7851129248738289 + ] + ] + } + ], + "target_object_id": 10, + "target_object_name": "plant" + } + }, + { + "id": 2015, + "video": "scannet/scene0019_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nTrash bin next to door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -2.003993034362793, + 1.5151090621948242, + 0.3071349118836224, + 0.5102705955505371, + 0.570009708404541, + 0.6425148537382483 + ] + ] + }, + { + "object_id": [ + 10 + ], + "object_name": "door", + "object_bbox": [ + [ + -1.311978816986084, + 1.6744543313980103, + 0.6911438070237637, + 1.1026966571807861, + 0.22808003425598145, + 1.4207695797085762 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "trash" + } + }, + { + "id": 2016, + "video": "scannet/scene0063_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nRefrigerator next to the dispenser", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 14 + ], + "object_name": "refrigerator", + "object_bbox": [ + [ + 2.0392897725105286, + -0.12760594487190247, + 0.8161463448777795, + 0.6371239423751831, + 0.8777368664741516, + 1.6535497289150953 + ] + ] + }, + { + "object_id": [ + 0 + ], + "object_name": "microwave", + "object_bbox": [ + [ + 2.4189916849136353, + 1.007783830165863, + 1.1875750422477722, + 0.23780322074890137, + 0.4112955331802368, + 0.3702610731124878 + ] + ] + } + ], + "target_object_id": 14, + "target_object_name": "refrigerator" + } + }, + { + "id": 2017, + "video": "scannet/scene0050_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nsitting tabel infront of piano", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 12 + ], + "object_name": "piano bench", + "object_bbox": [ + [ + -1.3053829371929169, + -1.507765531539917, + 0.2321634041145444, + 0.8216825127601624, + 0.5662083625793457, + 0.4345543887466192 + ] + ] + }, + { + "object_id": [ + 1 + ], + "object_name": "piano", + "object_bbox": [ + [ + -1.1948950290679932, + -2.1442870497703552, + 0.5045488746836782, + 1.486070156097412, + 0.6833544969558716, + 0.9861962255090475 + ] + ] + } + ], + "target_object_id": 12, + "target_object_name": "piano" + } + 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"conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nceramic tea cup on the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 49 + ], + "object_name": "cup", + "object_bbox": [ + [ + 1.2189372181892395, + -1.2023549675941467, + 0.6612032651901245, + 0.15997636318206787, + 0.12294614315032959, + 0.08519613742828369 + ] + ] + }, + { + "object_id": [ + 18 + ], + "object_name": "desk", + "object_bbox": [ + [ + 1.2086992859840393, + -1.8667863011360168, + 0.3349488861858845, + 0.7347227334976196, + 1.5545638799667358, + 0.8417685255408287 + ] + ] + } + ], + "target_object_id": 49, + "target_object_name": "cup" + } + }, + { + "id": 2020, + "video": "scannet/scene0187_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag is down to the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 4 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 1.2174910306930542, + 0.15988733619451523, + 0.19449466979131103, + 0.42379188537597656, + 0.46397824585437775, + 0.41581707168370485 + ] + ] + }, + { + "object_id": [ + 8 + ], + "object_name": "table", + "object_bbox": [ + [ + 1.6885866522789001, + 0.7466109693050385, + 0.4226117036305368, + 1.1140257120132446, + 1.2670767903327942, + 0.8285052971914411 + ] + ] + } + ], + "target_object_id": 4, + "target_object_name": "backpack" + } + }, + { + "id": 2021, + "video": "scannet/scene0684_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nlandline phone on the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 15 + ], + "object_name": "telephone", + "object_bbox": [ + [ + 0.5341071933507919, + 1.245411455631256, + 0.8255934119224548, + 0.14230039715766907, + 0.2677501440048218, + 0.1891183853149414 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "table", + "object_bbox": [ + [ + 0.5423423275351524, + 0.7693719250382856, + 0.40842470340430737, + 0.7701854258775711, + 1.5328706537839025, + 0.7298635877668858 + ] + ] + } + ], + "target_object_id": 15, + "target_object_name": "telephone" + } + }, + { + "id": 2022, + "video": "scannet/scene0535_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nphoto frame close to the tape cutter", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 27 + ], + "object_name": "picture", + "object_bbox": [ + [ + -1.0238949060440063, + -2.0962843894958496, + 0.7271442413330078, + 0.12878036499023438, + 0.2220592498779297, + 0.1788238286972046 + ] + ] + }, + { + "object_id": [ + 28 + ], + "object_name": "object", + "object_bbox": [ + [ + -0.9576018452644348, + -1.6970523595809937, + 0.7352427840232849, + 0.15983641147613525, + 0.0841817855834961, + 0.060945987701416016 + ] + ] + } + ], + "target_object_id": 27, + "target_object_name": "picture" + } + }, + { + "id": 2023, + "video": "scannet/scene0616_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, 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"object_bbox": [ + [ + 0.6958816051483154, + 0.8896632492542267, + 0.16588637605309486, + 0.18589413166046143, + 0.3063506484031677, + 0.2692154571413994 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.280439592897892, + 0.6772171258926392, + 0.4009936470538378, + 0.5210473984479904, + 0.7163729667663574, + 0.8220282755792141 + ] + ] + } + ], + "target_object_id": 0, + "target_object_name": "trash" + } + }, + { + "id": 2029, + "video": "scannet/scene0651_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nStove next to refrigerator", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 6 + ], + "object_name": "stove", + "object_bbox": [ + [ + 1.0202812254428864, + 1.1163070499897003, + 0.539793211966753, + 0.6402925848960876, + 0.700652539730072, + 1.0321522578597069 + ] + ] + }, + { + "object_id": [ + 2 + ], + "object_name": "refrigerator", + "object_bbox": [ + [ + 0.8847166001796722, + 0.35513565968722105, + 0.7751437386905309, + 0.7538831830024719, + 0.6507807169109583, + 1.5497021752526052 + ] + ] + } + ], + "target_object_id": 6, + "target_object_name": "stove" + } + }, + { + "id": 2030, + "video": "scannet/scene0088_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntrash bin close to the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 32 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 2.706308364868164, + 1.2787857353687286, + 0.26334285363554955, + 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"target_object_name": "backpack" + } + }, + { + "id": 2112, + "video": "scannet/scene0187_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nThe bag near green stool", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 4 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 1.2174910306930542, + 0.15988733619451523, + 0.19449466979131103, + 0.42379188537597656, + 0.46397824585437775, + 0.41581707168370485 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "seat", + "object_bbox": [ + [ + 2.3667815923690796, + 0.5457611083984375, + 0.2904078923165798, + 0.45758605003356934, + 0.4343622922897339, + 0.4271261766552925 + ] + ] + } + ], + "target_object_id": 4, + "target_object_name": "backpack" + } + }, + { + "id": 2113, + "video": "scannet/scene0583_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntoilet seat beside to dust bin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 2 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.6786366254091263, + 1.7567964792251587, + 0.7763022631406784, + 0.7432249486446381, + 0.5595767498016357, + 0.7602891027927399 + ] + ] + }, + { + "object_id": [ + 21 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 0.9097361266613007, + 1.366543710231781, + 0.5560192614793777, + 0.2990930676460266, + 0.33282434940338135, + 0.4355451762676239 + ] + ] + } + ], + "target_object_id": 2, + "target_object_name": "toilet" + } + }, + { + "id": 2114, + "video": "scannet/scene0257_00", 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"Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nframe near to book", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 26 + ], + "object_name": "picture", + "object_bbox": [ + [ + 1.9102082252502441, + -0.7336118519306183, + 1.3935717344284058, + 0.04701519012451172, + 0.26577097177505493, + 0.2727365493774414 + ] + ] + }, + { + "object_id": [ + 8 + ], + "object_name": "book", + "object_bbox": [ + [ + 1.6123046875, + -1.1851512789726257, + 0.9992319345474243, + 0.3160104751586914, + 0.2653266191482544, + 0.02498626708984375 + ] + ] + } + ], + "target_object_id": 26, + "target_object_name": "picture" + } + }, + { + "id": 2116, + "video": "scannet/scene0427_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndustbin next to the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 0 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.05322447419166565, + 1.6750948429107666, + 0.1756681588012725, + 0.46958786249160767, + 0.2599296569824219, + 0.3592525548301637 + ] + ] + }, + { + "object_id": [ + 8 + ], + "object_name": "door", + "object_bbox": [ + [ + 0.7173956856131554, + 1.7027351260185242, + 0.6243289683479816, + 1.1606828719377518, + 0.10222446918487549, + 1.2441070131026208 + ] + ] + } + ], + "target_object_id": 0, + "target_object_name": "trash" + } + }, + { + "id": 2117, + "video": "scannet/scene0412_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nsink near to vacuum cleaner", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "sink", + "object_bbox": [ + [ + -1.3921574354171753, + -2.8411577939987183, + 0.8464646339416504, + 0.37545299530029297, + 0.4670741558074951, + 0.439068078994751 + ] + ] + }, + { + "object_id": [ + 9 + ], + "object_name": "vacuum cleaner", + "object_bbox": [ + [ + -0.901138186454773, + -3.0153045654296875, + 0.5537619376555085, + 0.33869051933288574, + 0.3082275390625, + 1.1332958173006773 + ] + ] + } + ], + "target_object_id": 11, + "target_object_name": "sink" + } + }, + { + "id": 2118, + "video": "scannet/scene0050_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntissue box is on the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 6 + ], + "object_name": "tissue box", + "object_bbox": [ + [ + -0.6348623335361481, + -0.44235149025917053, + 0.48100805282592773, + 0.24500030279159546, + 0.25047725439071655, + 0.18058979511260986 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "ottoman", + "object_bbox": [ + [ + -0.5629915595054626, + -0.46758395433425903, + 0.2383559076115489, + 0.7069625854492188, + 1.1990469694137573, + 0.5236008707433939 + ] + ] + } + ], + "target_object_id": 6, + "target_object_name": "tissue" + } + }, + { + "id": 2119, + "video": "scannet/scene0304_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nBag on the locker table ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 10 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 0.06766854226589203, + 1.7937448024749756, + 1.1805837750434875, + 0.36710163950920105, + 0.551084041595459, + 0.20212924480438232 + ] + ] + }, + { + "object_id": [ + 9 + ], + "object_name": "cabinet", + "object_bbox": [ + [ + -0.03646400570869446, + 1.2128385156393051, + 0.5685765617527068, + 0.8264408111572266, + 1.917737752199173, + 1.1389951957389712 + ] + ] + } + ], + "target_object_id": 10, + "target_object_name": "backpack" + } + }, + { + "id": 2120, + "video": "scannet/scene0670_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ngrinder is beside to the knife holder", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "kitchenaid mixer", + "object_bbox": [ + [ + -0.8334327936172485, + 2.138852894306183, + 1.1961352825164795, + 0.26095688343048096, + 0.33304154872894287, + 0.37155580520629883 + ] + ] + }, + { + "object_id": [ + 12 + ], + "object_name": "knife block", + "object_bbox": [ + [ + -0.5066103786230087, + 2.190048575401306, + 1.16476970911026, + 0.22479727864265442, + 0.322523832321167, + 0.3053840398788452 + ] + ] + } + ], + "target_object_id": 11, + "target_object_name": "kitchenaid" + } + }, + { + "id": 2121, + "video": "scannet/scene0406_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nThe frame above the toilet", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "picture", + "object_bbox": [ + [ + 0.8564133048057556, + 0.25222727470099926, + 1.5193492770195007, + 0.04041182994842529, + 0.4284375347197056, + 0.5201331377029419 + ] + ] + }, + { + "object_id": [ + 3 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.472196351736784, + 0.19066043011844158, + 0.3740422362461686, + 0.7439732328057289, + 0.4476778842508793, + 0.7911079656332731 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "picture" + } + }, + { + "id": 2122, + "video": "scannet/scene0553_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwashbasin next to toilet", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": 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output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nTissue dispenser close to the Door ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "paper towel dispenser", + "object_bbox": [ + [ + 0.32027462124824524, + -0.6726552546024323, + 1.4392148852348328, + 0.28123652935028076, + 0.32224398851394653, + 0.35649049282073975 + ] + ] + }, + { + "object_id": [ + 3 + ], + "object_name": "bathroom stall door", + "object_bbox": [ + [ + 0.26480528712272644, + -0.13755574822425842, + 1.001435287296772, + 0.48562389612197876, + 0.61857670545578, + 1.5947120040655136 + ] + ] + } + ], + "target_object_id": 11, + "target_object_name": "paper" + } + }, + { + "id": 2142, + "video": "scannet/scene0146_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nThe bag is hanging on the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "backpack", + "object_bbox": [ + [ + -0.506714940071106, + -1.4704318642616272, + 1.2956443428993225, + 0.5027252435684204, + 0.30227410793304443, + 0.8063603639602661 + ] + ] + }, + { + "object_id": [ + 18 + ], + "object_name": "door", + "object_bbox": [ + [ + -0.10494041442871094, + -1.6142913699150085, + 0.9069239622913301, + 1.1955325603485107, + 0.06935489177703857, + 1.7889276491478086 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "backpack" + } + }, + { + "id": 2143, + "video": "scannet/scene0153_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntoilet is beside the wash basin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 7 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.020989656448364258, + 0.6031801551580429, + 0.33785976376384497, + 0.5085801482200623, + 0.7313168346881866, + 0.6979841906577349 + ] + ] + }, + { + "object_id": [ + 1 + ], + "object_name": "sink", + "object_bbox": [ + [ + -0.7015879601240158, + 0.7634677290916443, + 0.7858847379684448, + 0.405225545167923, + 0.2835521697998047, + 0.18179452419281006 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "toilet" + } + }, + { + "id": 2144, + "video": "scannet/scene0139_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nsoap dispenser near to the washbasin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 19 + ], + "object_name": "soap dispenser", + "object_bbox": [ + [ + -0.5431831181049347, + -1.5808904767036438, + 1.4076998829841614, + 0.23468154668807983, + 0.11764419078826904, + 0.27185165882110596 + ] + ] + }, + { + "object_id": [ + 24 + ], + "object_name": "sink", + "object_bbox": [ + [ + -0.8764928579330444, + -1.4140658974647522, + 0.7469916343688965, + 0.5930924415588379, + 0.6025339365005493, + 0.45550858974456787 + ] + ] + } + ], + "target_object_id": 19, + "target_object_name": "soap" + } + }, + { + "id": 2145, + "video": "scannet/scene0458_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndustbin beside toilet ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.5829533189535141, + -0.09233789145946503, + 0.09981520473957062, + 0.25106146931648254, + 0.32588252425193787, + 0.305388480424881 + ] + ] + }, + { + "object_id": [ + 6 + ], + "object_name": "toilet", + "object_bbox": [ + [ + -0.3707830011844635, + -0.5639213025569916, + 0.31277550384402275, + 0.6743529438972473, + 0.5005411505699158, + 0.7723903432488441 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "trash" + } + }, + { + "id": 2146, + "video": "scannet/scene0353_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwhite board beside the sofa", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 15 + ], + "object_name": "whiteboard", + "object_bbox": [ + [ + -1.2438581585884094, + -2.4265031814575195, + 0.5548581182956696, + 0.6519378423690796, + 0.42853355407714844, + 0.45493167638778687 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "couch", + "object_bbox": [ + [ + -1.0830210447311401, + -1.1391727924346924, + 0.3524472266435623, + 1.031247615814209, + 2.176351547241211, + 0.931612104177475 + ] + ] + } + ], + "target_object_id": 15, + "target_object_name": "whiteboard" + } + }, + { + "id": 2147, + "video": "scannet/scene0559_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwhite board close to the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 7 + ], + "object_name": "whiteboard", + "object_bbox": [ + [ + -0.10632449388504028, + 2.944137454032898, + 1.2811736762523651, + 0.9916298389434814, + 0.1711595058441162, + 1.479075014591217 + ] + ] + }, + { + "object_id": [ + 10 + ], + "object_name": "table", + "object_bbox": [ + [ + -0.20126470923423767, + 1.6529157757759094, + 0.3752585034817457, + 0.8457940220832825, + 1.6508020162582397, + 0.8057966269552708 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "whiteboard" + } + }, + { + "id": 2148, + "video": "scannet/scene0684_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntelephone near to the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 15 + ], + "object_name": "telephone", + "object_bbox": [ + [ + 0.5341071933507919, + 1.245411455631256, + 0.8255934119224548, + 0.14230039715766907, + 0.2677501440048218, + 0.1891183853149414 + ] + ] + }, + { + "object_id": [ + 4 + ], + "object_name": "chair", + "object_bbox": [ + [ + -0.2683243155479431, + 0.8163810074329376, + 0.43494963296689093, + 0.6631585359573364, + 0.48591703176498413, + 0.8776518176309764 + ] + ] + } + ], + "target_object_id": 15, + "target_object_name": "telephone" + } + }, + { + "id": 2149, + "video": "scannet/scene0139_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndust bin below the wash basin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 16 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.9522926807403564, + -1.6071227192878723, + 0.2286989949643612, + 0.34859323501586914, + 0.26638472080230713, + 0.37883008271455765 + ] + ] + }, + { + "object_id": [ + 24 + ], + "object_name": "sink", + "object_bbox": [ + [ + -0.8764928579330444, + -1.4140658974647522, + 0.7469916343688965, + 0.5930924415588379, + 0.6025339365005493, + 0.45550858974456787 + ] + ] + } + ], + "target_object_id": 16, + "target_object_name": "trash" + } + }, + { + "id": 2150, + "video": "scannet/scene0329_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ncouch next to fire extinguisher", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 1 + ], + "object_name": "couch", + "object_bbox": [ + [ + 0.3381606638431549, + 2.650144934654236, + 0.3820418305695057, + 2.111461818218231, + 1.2262952327728271, + 0.8752719983458519 + ] + ] + }, + { + "object_id": [ + 16 + ], + "object_name": "object", + "object_bbox": [ + [ + 0.2930319979786873, + 3.0525869131088257, + 0.8308069407939911, + 0.1579795926809311, + 0.18173480033874512, + 0.2869378924369812 + ] + ] + } + ], + "target_object_id": 1, + "target_object_name": "couch" + } + }, + { + "id": 2151, + "video": "scannet/scene0558_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nblue colour backpack bag is beside to the round shape table ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "backpack", + "object_bbox": [ + [ + -0.4655614495277405, + 0.6608916372060776, + 0.572291910648346, + 0.4692258834838867, + 0.4795779287815094, + 0.35257887840270996 + ] + ] + }, + { + "object_id": [ + 12 + ], + "object_name": "table", + "object_bbox": [ + [ + -1.007640540599823, + -0.2407594919204712, + 0.3981744283810258, + 1.476518988609314, + 1.483978033065796, + 0.8471920024603605 + ] + ] + } + ], + "target_object_id": 11, + "target_object_name": "backpack" + } + }, + { + "id": 2152, + "video": "scannet/scene0671_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nflower vase on the dining table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 0 + ], + "object_name": "plant", + "object_bbox": [ + [ + 0.13311642035841942, + -0.18708708882331848, + 0.9980209767818451, + 0.4286651685833931, + 0.524509608745575, + 0.5968251824378967 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "table", + "object_bbox": [ + [ + 0.13736306130886078, + -0.17095136642456055, + 0.37572927959263325, + 1.0351631939411163, + 2.123023271560669, + 0.7846092842519283 + ] + ] + } + ], + "target_object_id": 0, + "target_object_name": "plant" + } + }, + { + "id": 2153, + "video": "scannet/scene0193_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nChair near the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 5 + ], + "object_name": "office chair", + "object_bbox": [ + [ + 0.785780280828476, + -0.004627436399459839, + 0.556472547352314, + 0.5610564351081848, + 0.5739952325820923, + 0.652217373251915 + ] + ] + }, + { + "object_id": [ + 8 + ], + "object_name": "desk", + "object_bbox": [ + [ + 1.3526034653186798, + -0.06985723972320557, + 0.7589720158139244, + 1.1980628371238708, + 1.435389757156372, + 1.5150759879034013 + ] + ] + } + ], + "target_object_id": 5, + "target_object_name": "office" + } + }, + { + "id": 2154, + "video": "scannet/scene0249_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ncard board beside the recycle bin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 32 + ], + "object_name": "board", + "object_bbox": [ + [ + -3.07758367061615, + -4.0698206424713135, + 0.7493276074528694, + 1.4125683307647705, + 0.2825636863708496, + 1.1072860807180405 + ] + ] + }, + { + "object_id": [ + 23 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -2.118104875087738, + -4.035758018493652, + 0.6058953031897545, + 0.5306063890457153, + 0.33215808868408203, + 0.8533143550157547 + ] + ] + } + ], + "target_object_id": 32, + "target_object_name": "board" + } + }, + { + "id": 2155, + "video": "scannet/scene0527_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nTable opposite to the Door ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 4 + ], + "object_name": "table", + "object_bbox": [ + [ + 0.2594005838036537, + -0.6866946071386337, + 0.2622966952621937, + 0.8411796540021896, + 0.38580062985420227, + 0.5807716473937035 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "door", + "object_bbox": [ + [ + -1.2569094896316528, + 0.15583430230617523, + 1.0007417760789394, + 0.09091496467590332, + 0.9764669239521027, + 2.0460099056363106 + ] + ] + } + ], + "target_object_id": 4, + "target_object_name": "table" + } + }, + { + "id": 2156, + "video": "scannet/scene0568_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nTV opposite to couch", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "tv", + "object_bbox": [ + [ + -2.5450901985168457, + -1.606684684753418, + 1.0472895503044128, + 1.041576862335205, + 0.3218555450439453, + 0.737235426902771 + ] + ] + }, + { + "object_id": [ + 4 + ], + "object_name": "couch", + "object_bbox": [ + [ + -2.396838426589966, + 1.1039655655622482, + 0.5605816915631294, + 2.556339740753174, + 1.5989281237125397, + 0.9321768134832382 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "tv" + } + }, + { + "id": 2157, + "video": "scannet/scene0019_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntrash bin is beside door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -2.003993034362793, + 1.5151090621948242, + 0.3071349118836224, + 0.5102705955505371, + 0.570009708404541, + 0.6425148537382483 + ] + ] + }, + { + "object_id": [ + 10 + ], + "object_name": "door", + "object_bbox": [ + [ + -1.311978816986084, + 1.6744543313980103, + 0.6911438070237637, + 1.1026966571807861, + 0.22808003425598145, + 1.4207695797085762 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "trash" + } + }, + { + "id": 2158, + "video": "scannet/scene0580_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nlamp is beside the bed ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "night lamp", + "object_bbox": [ + [ + -1.3645282983779907, + 1.209696739912033, + 0.9070149660110474, + 0.5079872608184814, + 0.5082953572273254, + 0.8317060470581055 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "bed", + "object_bbox": [ + [ + -0.34430110454559326, + 0.598196268081665, + 0.41138678789138794, + 1.5340285301208496, + 2.177494525909424, + 1.4338289499282837 + ] + ] + } + ], + "target_object_id": 11, + "target_object_name": "night" + } + }, + { + "id": 2159, + "video": "scannet/scene0015_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag is on the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 44 + ], + "object_name": "backpack", + "object_bbox": [ + [ + -1.1052177548408508, + 1.423624336719513, + 0.6854625940322876, + 0.37496793270111084, + 0.3172398805618286, + 0.4331001043319702 + ] + ] + }, + { + "object_id": [ + 18 + ], + "object_name": "chair", + "object_bbox": [ + [ + -1.1333697438240051, + 1.5264920592308044, + 0.5786809474229813, + 0.5017191171646118, + 0.5251766443252563, + 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"value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntrash bin below the tissue paper dispenser", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 7 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.07268473505973816, + -0.7951109707355499, + 0.32805795362219214, + 0.49313604831695557, + 0.3576356768608093, + 0.6273211063817143 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "paper towel dispenser", + "object_bbox": [ + [ + 0.32027462124824524, + -0.6726552546024323, + 1.4392148852348328, + 0.28123652935028076, + 0.32224398851394653, + 0.35649049282073975 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "trash" + } + }, + { + "id": 2297, + "video": "scannet/scene0187_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag under the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 4 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 1.2174910306930542, + 0.15988733619451523, + 0.19449466979131103, + 0.42379188537597656, + 0.46397824585437775, + 0.41581707168370485 + ] + ] + }, + { + "object_id": [ + 8 + ], + "object_name": "table", + "object_bbox": [ + [ + 1.6885866522789001, + 0.7466109693050385, + 0.4226117036305368, + 1.1140257120132446, + 1.2670767903327942, + 0.8285052971914411 + ] + ] + } + ], + "target_object_id": 4, + "target_object_name": "backpack" + } + }, + { + "id": 2298, + "video": "scannet/scene0203_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following 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bounding box in the format (x1, y1, z1, x2, y2, z2).\ndust bin below the wash basin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 16 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.9522926807403564, + -1.6071227192878723, + 0.2286989949643612, + 0.34859323501586914, + 0.26638472080230713, + 0.37883008271455765 + ] + ] + }, + { + "object_id": [ + 24 + ], + "object_name": "sink", + "object_bbox": [ + [ + -0.8764928579330444, + -1.4140658974647522, + 0.7469916343688965, + 0.5930924415588379, + 0.6025339365005493, + 0.45550858974456787 + ] + ] + } + ], + "target_object_id": 16, + "target_object_name": "trash" + } + }, + { + "id": 2300, + "video": "scannet/scene0164_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, 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"from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 32 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 2.706308364868164, + 1.2787857353687286, + 0.26334285363554955, + 0.2332601547241211, + 0.6254426836967468, + 0.4241286590695381 + ] + ] + }, + { + "object_id": [ + 31 + ], + "object_name": "whiteboard", + "object_bbox": [ + [ + 2.2794063687324524, + 1.7721518874168396, + 0.667524166405201, + 0.7841504812240601, + 1.4302693605422974, + 1.2086344808340073 + ] + ] + } + ], + "target_object_id": 32, + "target_object_name": "trash" + } + }, + { + "id": 2303, + "video": "scannet/scene0338_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntrash bin beside xerox machine", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 1 + ], + "object_name": "recycling bin", + "object_bbox": [ + [ + 1.1126098334789276, + -1.653298258781433, + 0.4409596980549395, + 0.6051228642463684, + 0.5427365303039551, + 0.9130182145163417 + ] + ] + }, + { + "object_id": [ + 12 + ], + "object_name": "copier", + "object_bbox": [ + [ + 1.2316897511482239, + -0.11439210176467896, + 0.5898679718375206, + 0.7269390821456909, + 0.7512638568878174, + 1.2287499457597733 + ] + ] + } + ], + "target_object_id": 1, + "target_object_name": "recycling" + } + }, + { + "id": 2304, + "video": "scannet/scene0565_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nkey board infront of desktop", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 17 + ], + "object_name": "keyboard", + "object_bbox": [ + [ + 0.4423183277249336, + -2.3680304288864136, + 0.7758242189884186, + 0.4905843585729599, + 0.21424365043640137, + 0.06774657964706421 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "monitor", + "object_bbox": [ + [ + 0.4408838599920273, + -2.546108365058899, + 0.991136223077774, + 0.4407888948917389, + 0.16695570945739746, + 0.4479941725730896 + ] + ] + } + ], + "target_object_id": 17, + "target_object_name": "keyboard" + } + }, + { + "id": 2305, + "video": "scannet/scene0607_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\npaper dispenser near handwash dispenser", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 20 + ], + "object_name": "paper towel dispenser", + "object_bbox": [ + [ + 1.8381075263023376, + -0.13203269243240356, + 1.2732858657836914, + 0.12707555294036865, + 0.3491106629371643, + 0.4233875274658203 + ] + ] + }, + { + "object_id": [ + 21 + ], + "object_name": "soap dispenser", + "object_bbox": [ + [ + 1.839016616344452, + -0.8371319472789764, + 1.280393123626709, + 0.10587179660797119, + 0.20149439573287964, + 0.31033992767333984 + ] + ] + } + ], + "target_object_id": 20, + "target_object_name": "paper" + } + }, + { + "id": 2306, + "video": "scannet/scene0591_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nmannequin beside the sofa ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": 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"conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\npillow is on the sofa", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 41 + ], + "object_name": "pillow", + "object_bbox": [ + [ + 1.3432514071464539, + 2.0798405408859253, + 0.43399906158447266, + 0.633374810218811, + 0.5466339588165283, + 0.21623611450195312 + ] + ] + }, + { + "object_id": [ + 4 + ], + "object_name": "couch", + "object_bbox": [ + [ + 1.3059209883213043, + 1.6894736289978027, + 0.30671440809965134, + 0.7668754458427429, + 1.405618667602539, + 0.6410879045724869 + ] + ] + } + ], + "target_object_id": 41, + "target_object_name": "pillow" + } + }, + { + "id": 2324, + "video": "scannet/scene0608_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nmassage chair beside the guitar", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 41 + ], + "object_name": "recliner chair", + "object_bbox": [ + [ + -1.0912907123565674, + -0.8426723480224609, + 0.3154129907488823, + 1.4972567558288574, + 0.8624930381774902, + 0.8900989443063736 + ] + ] + }, + { + "object_id": [ + 0 + ], + "object_name": "guitar", + "object_bbox": [ + [ + -0.5071644484996796, + -1.1923898756504059, + 0.33055903017520905, + 0.6085050702095032, + 0.4038082957267761, + 0.8904540240764618 + ] + ] + } + ], + "target_object_id": 41, + "target_object_name": "recliner" + } + }, + { + "id": 2325, + "video": "scannet/scene0149_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nrefrigerator beside stove", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 1 + ], + "object_name": "refrigerator", + "object_bbox": [ + [ + -1.4164393246173859, + -1.028797060251236, + 0.7888616137206554, + 0.8631107211112976, + 0.7704359889030457, + 1.5976620092988014 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "stove", + "object_bbox": [ + [ + -1.5974822640419006, + 0.0721113532781601, + 0.5710159987211227, + 0.7447284460067749, + 0.9792487919330597, + 1.1141404211521149 + ] + ] + } + ], + "target_object_id": 1, + "target_object_name": "refrigerator" + } + }, + { + "id": 2326, + "video": "scannet/scene0527_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwash basin close to door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 16 + ], + "object_name": "sink", + "object_bbox": [ + [ + -0.7668268382549286, + 1.0867343544960022, + 0.8177010118961334, + 0.4551181197166443, + 0.17239296436309814, + 0.10424619913101196 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "bathroom vanity", + "object_bbox": [ + [ + -0.7609665989875793, + 1.0626263618469238, + 0.5195417180657387, + 0.8502844572067261, + 0.4829587936401367, + 0.9412978142499924 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "door", + "object_bbox": [ + [ + -1.2569094896316528, + 0.15583430230617523, + 1.0007417760789394, + 0.09091496467590332, + 0.9764669239521027, + 2.0460099056363106 + ] + ] + } + ], + "target_object_id": 16, + "target_object_name": "sink" + } + }, 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"conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nchair close to bag", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 47 + ], + "object_name": "office chair", + "object_bbox": [ + [ + 0.3736963542178273, + -1.719404399394989, + 0.41185758262872696, + 0.7350612338632345, + 0.6213909387588501, + 0.9443108290433884 + ] + ] + }, + { + "object_id": [ + 46 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 0.13370895385742188, + -0.9315304458141327, + 0.12423676252365112, + 0.41857635974884033, + 0.317050039768219, + 0.4201221466064453 + ] + ] + } + ], + "target_object_id": 47, + "target_object_name": "office" + } + }, + { + "id": 2339, + "video": "scannet/scene0593_00", + "conversations": [ + { + "value": "Locate all 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"video": "scannet/scene0193_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbed is opposite to door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 7 + ], + "object_name": "bed", + "object_bbox": [ + [ + -0.9544006586074829, + -0.6183023452758789, + 0.46906406397465616, + 2.1950972080230713, + 1.0628914833068848, + 0.9448110915254802 + ] + ] + }, + { + "object_id": [ + 2 + ], + "object_name": "door", + "object_bbox": [ + [ + 1.788124918937683, + 1.1530532538890839, + 0.9544250988401473, + 0.5604121685028076, + 1.1540327668190002, + 1.8805689765140414 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "bed" + } + }, + { + "id": 2344, + "video": "scannet/scene0518_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nBag is on the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 16 + ], + "object_name": "backpack", + "object_bbox": [ + [ + -0.47998151183128357, + -0.8904497027397156, + 0.7512979209423065, + 0.49472516775131226, + 0.3897794485092163, + 0.4666852355003357 + ] + ] + }, + { + "object_id": [ + 2 + ], + "object_name": "office chair", + "object_bbox": [ + [ + -0.5368931293487549, + -1.0742298066616058, + 0.45759910158813, + 0.6357964277267456, + 0.7175517678260803, + 0.9538083113729954 + ] + ] + } + ], + "target_object_id": 16, + "target_object_name": "backpack" + } + }, + { + "id": 2345, + "video": "scannet/scene0549_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nflower vase on the table ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 20 + ], + "object_name": "plant", + "object_bbox": [ + [ + 1.9233769178390503, + -0.8429989218711853, + 1.0080488920211792, + 0.3161909580230713, + 0.3958526849746704, + 0.5635621547698975 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "end table", + "object_bbox": [ + [ + 1.9018443822860718, + -0.834544837474823, + 0.3952902741730213, + 0.6700184345245361, + 0.6740580797195435, + 0.6954104527831078 + ] + ] + } + ], + "target_object_id": 20, + "target_object_name": "plant" + } + }, + { + "id": 2346, + "video": "scannet/scene0435_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntv is on the drawer", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 62 + ], + "object_name": "tv", + "object_bbox": [ + [ + -1.6360046863555908, + -0.07932806015014648, + 1.199475735425949, + 0.1746807098388672, + 0.7823479175567627, + 0.5821462273597717 + ] + ] + }, + { + "object_id": [ + 61 + ], + "object_name": "cabinet", + "object_bbox": [ + [ + -1.5724858045578003, + -0.07898366451263428, + 0.4322817623615265, + 0.5056307315826416, + 1.1057792901992798, + 0.9905343651771545 + ] + ] + } + ], + "target_object_id": 62, + "target_object_name": "tv" + } + }, + { + "id": 2347, + "video": "scannet/scene0685_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, 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"object_bbox": [ + [ + 1.0551066994667053, + -0.4904491901397705, + 0.8060799241065979, + 0.204015851020813, + 0.25095248222351074, + 0.20548629760742188 + ] + ] + } + ], + "target_object_id": 28, + "target_object_name": "laptop" + } + }, + { + "id": 2362, + "video": "scannet/scene0149_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nMicro wave next to the refrigerator", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 13 + ], + "object_name": "microwave", + "object_bbox": [ + [ + -1.5874403715133667, + -0.016225963830947876, + 1.5500420331954956, + 0.1459484100341797, + 0.8008409738540649, + 0.4470984935760498 + ] + ] + }, + { + "object_id": [ + 1 + ], + "object_name": "refrigerator", + "object_bbox": [ + [ + 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the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\njacket beside the washbasin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 4 + ], + "object_name": "jacket", + "object_bbox": [ + [ + 1.6484129428863525, + -0.5112106800079346, + 0.8935337960720062, + 0.33972954750061035, + 0.30625903606414795, + 0.1404246687889099 + ] + ] + }, + { + "object_id": [ + 24 + ], + "object_name": "sink", + "object_bbox": [ + [ + 1.161183625459671, + -0.7353648543357849, + 0.6608219146728516, + 0.5012165904045105, + 0.42091917991638184, + 0.508381724357605 + ] + ] + } + ], + "target_object_id": 4, + "target_object_name": "jacket" + } + }, + { + "id": 2398, + "video": "scannet/scene0568_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntv is opposite to the sofa", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "tv", + "object_bbox": [ + [ + -2.5450901985168457, + -1.606684684753418, + 1.0472895503044128, + 1.041576862335205, + 0.3218555450439453, + 0.737235426902771 + ] + ] + }, + { + "object_id": [ + 4 + ], + "object_name": "couch", + "object_bbox": [ + [ + -2.396838426589966, + 1.1039655655622482, + 0.5605816915631294, + 2.556339740753174, + 1.5989281237125397, + 0.9321768134832382 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "tv" + } + }, + { + "id": 2399, + "video": "scannet/scene0568_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntea table in front of the couch ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 9 + ], + "object_name": "table", + "object_bbox": [ + [ + -3.470193386077881, + -0.13151365518569946, + 0.48456401377916336, + 1.3136720657348633, + 0.8022149801254272, + 0.4765356630086899 + ] + ] + }, + { + "object_id": [ + 4 + ], + "object_name": "couch", + "object_bbox": [ + [ + -2.396838426589966, + 1.1039655655622482, + 0.5605816915631294, + 2.556339740753174, + 1.5989281237125397, + 0.9321768134832382 + ] + ] + } + ], + "target_object_id": 9, + "target_object_name": "table" + } + }, + { + "id": 2400, + "video": "scannet/scene0131_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nplate beside the whiteboard", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 40 + ], + "object_name": "plate", + "object_bbox": [ + [ + -1.1981133222579956, + 1.205311357975006, + 0.9036427140235901, + 0.27613210678100586, + 0.2558780908584595, + 0.03835129737854004 + ] + ] + }, + { + "object_id": [ + 38 + ], + "object_name": "whiteboard", + "object_bbox": [ + [ + -1.326458752155304, + 1.9499242305755615, + 1.1168984770774841, + 0.11076033115386963, + 1.8512063026428223, + 0.4699493646621704 + ] + ] + } + ], + "target_object_id": 40, + "target_object_name": "plate" + } + }, + { + "id": 2401, + "video": "scannet/scene0426_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nPiano on the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": 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"value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nhand wash dispenser near the wash basin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 21 + ], + "object_name": "soap dispenser", + "object_bbox": [ + [ + 1.839016616344452, + -0.8371319472789764, + 1.280393123626709, + 0.10587179660797119, + 0.20149439573287964, + 0.31033992767333984 + ] + ] + }, + { + "object_id": [ + 16, + 17 + ], + "object_name": "sink", + "object_bbox": [ + [ + 1.5524038672447205, + -0.5947804152965546, + 0.8233423829078674, + 0.40927302837371826, + 0.3600315451622009, + 0.19073665142059326 + ], + [ + 1.5794020891189575, + -0.1437178999185562, + 0.8528711497783661, + 0.47536230087280273, + 0.45342788100242615, + 0.21980959177017212 + ] + ] + }, + { + "object_id": [ + 2 + ], + "object_name": "kitchen counter", + "object_bbox": [ + [ + 1.5523751974105835, + 0.060233354568481445, + 0.9279265999794006, + 0.7601413726806641, + 2.4041576385498047, + 0.4486476182937622 + ] + ] + } + ], + "target_object_id": 21, + "target_object_name": "soap" + } + }, + { + "id": 2472, + "video": "scannet/scene0193_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbed is close to the chair ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 7 + ], + "object_name": "bed", + "object_bbox": [ + [ + -0.9544006586074829, + -0.6183023452758789, + 0.46906406397465616, + 2.1950972080230713, + 1.0628914833068848, + 0.9448110915254802 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "office chair", + "object_bbox": [ + [ + 0.785780280828476, + -0.004627436399459839, + 0.556472547352314, + 0.5610564351081848, + 0.5739952325820923, + 0.652217373251915 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "bed" + } + }, + { + "id": 2473, + "video": "scannet/scene0314_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nchair close to wooden design ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 3 + ], + "object_name": "office chair", + "object_bbox": [ + [ + -0.9704658389091492, + 0.5791646912693977, + 0.5786589851486497, + 0.7134748697280884, + 0.7975851148366928, + 1.1588763255858794 + ] + ] + }, + { + "object_id": [ + 0 + ], + "object_name": "furniture", + "object_bbox": [ + [ + -1.5572260618209839, + 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2.111461818218231, + 1.2262952327728271, + 0.8752719983458519 + ] + ] + } + ], + "target_object_id": 16, + "target_object_name": "object" + } + }, + { + "id": 2475, + "video": "scannet/scene0356_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nlocker is beside the bed", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11, + 20 + ], + "object_name": "wall", + "object_bbox": [ + [ + 1.3031098246574402, + -0.6919174790382385, + 0.7863474530167878, + 0.7485352754592896, + 0.09987521171569824, + 1.5497587835416198 + ], + [ + 0.9290680289268494, + -0.7890683114528656, + 0.7421691142953932, + 0.038299560546875, + 0.2538800835609436, + 1.454481895081699 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "radiator", 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"id": 2520, + "video": "scannet/scene0221_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\niron box is beside the ironing board", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 33 + ], + "object_name": "iron", + "object_bbox": [ + [ + 1.1196430325508118, + -2.7139527797698975, + 1.5709797143936157, + 0.11140835285186768, + 0.14650201797485352, + 0.24678778648376465 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "ironing board", + "object_bbox": [ + [ + 1.3870700001716614, + -2.7236533164978027, + 1.0909848511219025, + 0.41612255573272705, + 0.14127063751220703, + 1.3082203269004822 + ] + ] + } + ], + "target_object_id": 33, + "target_object_name": "iron" + } + }, + { + "id": 2521, + "video": 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"value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nlamp is next to the bed ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "night lamp", + "object_bbox": [ + [ + -1.3645282983779907, + 1.209696739912033, + 0.9070149660110474, + 0.5079872608184814, + 0.5082953572273254, + 0.8317060470581055 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "bed", + "object_bbox": [ + [ + -0.34430110454559326, + 0.598196268081665, + 0.41138678789138794, + 1.5340285301208496, + 2.177494525909424, + 1.4338289499282837 + ] + ] + } + ], + "target_object_id": 11, + "target_object_name": "night" + } + }, + { + "id": 2523, + "video": "scannet/scene0553_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntoilet close to the washbasin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 3 + ], + "object_name": "sink", + "object_bbox": [ + [ + -0.7171559780836105, + -0.11877954006195068, + 0.6348879039287567, + 0.47565701603889465, + 0.5457794070243835, + 0.5875019431114197 + ] + ] + }, + { + "object_id": [ + 2 + ], + "object_name": "toilet", + "object_bbox": [ + [ + -0.6109930872917175, + 0.9775911867618561, + 0.29565418511629105, + 0.6364136934280396, + 0.3899776339530945, + 0.42738793790340424 + ] + ] + } + ], + "target_object_id": 2, + "target_object_name": "toilet" + } + }, + { + "id": 2524, + "video": "scannet/scene0050_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nclock behand the sofa", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 21 + ], + "object_name": "clock", + "object_bbox": [ + [ + -1.889897882938385, + -0.7149942219257355, + 1.8767754435539246, + 0.04979526996612549, + 0.23283463716506958, + 0.22288262844085693 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "couch", + "object_bbox": [ + [ + -1.4737420082092285, + 0.2597113847732544, + 0.45365839556325227, + 1.0633831024169922, + 2.012685775756836, + 0.9032461771275848 + ] + ] + } + ], + "target_object_id": 21, + "target_object_name": "clock" + } + }, + { + "id": 2525, + "video": "scannet/scene0685_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nFire extinguisher next to the Door ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 19 + ], + "object_name": "object", + "object_bbox": [ + [ + 0.6712610572576523, + 1.9774841666221619, + 2.1622217893600464, + 0.3836055099964142, + 0.45805180072784424, + 1.053389310836792 + ] + ] + }, + { + "object_id": [ + 2 + ], + "object_name": "door", + "object_bbox": [ + [ + -0.042928099632263184, + 2.4712960720062256, + 1.2334462199360132, + 1.1095294952392578, + 0.07116508483886719, + 2.4596727304160595 + ] + ] + } + ], + "target_object_id": 19, + "target_object_name": "object" + } + }, + { + "id": 2526, + "video": "scannet/scene0351_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nPlant pot on the table ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 19 + ], + "object_name": "plant", + "object_bbox": [ + [ + -0.0010411590337753296, + -1.206513226032257, + 0.9650283008813858, + 0.4256722927093506, + 0.539627194404602, + 0.9551601111888885 + ] + ] + }, + { + "object_id": [ + 12 + ], + "object_name": "desk", + "object_bbox": [ + [ + -0.022047758102416992, + -0.2046741247177124, + 0.3093808691482991, + 2.0335476398468018, + 2.8410162925720215, + 0.6054776110686362 + ] + ] + } + ], + "target_object_id": 19, + "target_object_name": "plant" + } + }, + { + "id": 2527, + "video": "scannet/scene0593_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nThe bag is on the couch", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 26 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 0.34706123918294907, + -2.2198201417922974, + 0.5852393954992294, + 0.4824778586626053, + 0.4794576168060303, + 0.31795039772987366 + ] + ] + }, + { + "object_id": [ + 24 + ], + "object_name": "couch", + "object_bbox": [ + [ + -0.011799812316894531, + -2.194964051246643, + 0.33039270900189877, + 1.8510372638702393, + 0.8182098865509033, + 0.7772509045898914 + ] + ] + } + ], + "target_object_id": 26, + "target_object_name": "backpack" + } + }, + { + "id": 2528, + "video": "scannet/scene0575_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndustbin close to the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.10868135094642639, + 2.9830033779144287, + 0.31024133414030075, + 0.37051117420196533, + 0.2662191390991211, + 0.4093409925699234 + ] + ] + }, + { + "object_id": [ + 15 + ], + "object_name": "door", + "object_bbox": [ + [ + -1.569175899028778, + 2.539004325866699, + 0.8904428109526634, + 0.28457367420196533, + 1.184915542602539, + 1.529768779873848 + ] + ] + } + ], + "target_object_id": 11, + "target_object_name": "trash" + } + }, + { + "id": 2529, + "video": "scannet/scene0599_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nThe wall mounted telephone is beside the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 10 + ], + "object_name": "telephone", + "object_bbox": [ + [ + -1.291705310344696, + -0.6061351001262665, + 1.2114044427871704, + 0.10730993747711182, + 0.12643283605575562, + 0.24782490730285645 + ] + ] + }, + { + "object_id": [ + 6 + ], + "object_name": "door", + "object_bbox": [ + [ + -1.4028909802436829, + -1.5742111206054688, + 0.8909445237368345, + 0.16878759860992432, + 1.0826187133789062, + 1.7345375157892704 + ] + ] + } + ], + "target_object_id": 10, + "target_object_name": "telephone" + } + }, + { + "id": 2530, + "video": "scannet/scene0685_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndoor is beside to the air compressor", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 2 + ], + "object_name": "door", + "object_bbox": [ + [ + -0.042928099632263184, + 2.4712960720062256, + 1.2334462199360132, + 1.1095294952392578, + 0.07116508483886719, + 2.4596727304160595 + ] + ] + }, + { + "object_id": [ + 19 + ], + "object_name": "object", + "object_bbox": [ + [ + 0.6712610572576523, + 1.9774841666221619, + 2.1622217893600464, + 0.3836055099964142, + 0.45805180072784424, + 1.053389310836792 + ] + ] + } + ], + "target_object_id": 2, + "target_object_name": "door" + } + }, + { + "id": 2531, + "video": "scannet/scene0606_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nclock above microwave", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 9 + ], + "object_name": 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"object_id": [ + 6 + ], + "object_name": "toilet", + "object_bbox": [ + [ + -0.16647997498512268, + 1.1014029383659363, + 0.3531229607760906, + 0.5690590143203735, + 0.7179573774337769, + 0.7775300517678261 + ] + ] + } + ], + "target_object_id": 20, + "target_object_name": "towel" + } + }, + { + "id": 2612, + "video": "scannet/scene0535_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntape dispenser is on the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 28 + ], + "object_name": "object", + "object_bbox": [ + [ + -0.9576018452644348, + -1.6970523595809937, + 0.7352427840232849, + 0.15983641147613525, + 0.0841817855834961, + 0.060945987701416016 + ] + ] + }, + { + "object_id": [ + 6 + ], + "object_name": 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0.14127063751220703, + 1.3082203269004822 + ] + ] + } + ], + "target_object_id": 33, + "target_object_name": "iron" + } + }, + { + "id": 2616, + "video": "scannet/scene0084_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nWashbasin is near to the handwash dispenser", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 24 + ], + "object_name": "sink", + "object_bbox": [ + [ + 1.161183625459671, + -0.7353648543357849, + 0.6608219146728516, + 0.5012165904045105, + 0.42091917991638184, + 0.508381724357605 + ] + ] + }, + { + "object_id": [ + 19 + ], + "object_name": "soap dispenser", + "object_bbox": [ + [ + 0.7722869515419006, + -0.47582481801509857, + 1.106527954339981, + 0.14020538330078125, + 0.16704145073890686, + 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"target_object_id": 5, + "target_object_name": "toilet" + } + }, + { + "id": 2618, + "video": "scannet/scene0651_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nElectric stove next to the fridge", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 6 + ], + "object_name": "stove", + "object_bbox": [ + [ + 1.0202812254428864, + 1.1163070499897003, + 0.539793211966753, + 0.6402925848960876, + 0.700652539730072, + 1.0321522578597069 + ] + ] + }, + { + "object_id": [ + 2 + ], + "object_name": "refrigerator", + "object_bbox": [ + [ + 0.8847166001796722, + 0.35513565968722105, + 0.7751437386905309, + 0.7538831830024719, + 0.6507807169109583, + 1.5497021752526052 + ] + ] + } + ], + "target_object_id": 6, + "target_object_name": "stove" + } + }, + { + "id": 2619, + "video": "scannet/scene0435_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nTelevision is closest to the tv unit.", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 62 + ], + "object_name": "tv", + "object_bbox": [ + [ + -1.6360046863555908, + -0.07932806015014648, + 1.199475735425949, + 0.1746807098388672, + 0.7823479175567627, + 0.5821462273597717 + ] + ] + }, + { + "object_id": [ + 61 + ], + "object_name": "cabinet", + "object_bbox": [ + [ + -1.5724858045578003, + -0.07898366451263428, + 0.4322817623615265, + 0.5056307315826416, + 1.1057792901992798, + 0.9905343651771545 + ] + ] + } + ], + "target_object_id": 62, + "target_object_name": "tv" + } + }, + { + "id": 2620, + "video": "scannet/scene0011_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nrefrigerator is beside to the washbasin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 27 + ], + "object_name": "refrigerator", + "object_bbox": [ + [ + 1.3638005256652832, + 3.1363431215286255, + 1.0498969848267734, + 0.23614192008972168, + 0.9501402378082275, + 2.075134218670428 + ] + ] + }, + { + "object_id": [ + 26 + ], + "object_name": "sink", + "object_bbox": [ + [ + 1.696058750152588, + 1.7172963619232178, + 0.669323056936264, + 0.2927987575531006, + 0.8116288185119629, + 0.3223118185997009 + ] + ] + } + ], + "target_object_id": 27, + "target_object_name": "refrigerator" + } + }, + { + "id": 2621, + "video": "scannet/scene0580_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbed is beside the lamp", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 7 + ], + "object_name": "bed", + "object_bbox": [ + [ + -0.34430110454559326, + 0.598196268081665, + 0.41138678789138794, + 1.5340285301208496, + 2.177494525909424, + 1.4338289499282837 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "night lamp", + "object_bbox": [ + [ + -1.3645282983779907, + 1.209696739912033, + 0.9070149660110474, + 0.5079872608184814, + 0.5082953572273254, + 0.8317060470581055 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "bed" + } + }, + { + "id": 2622, + "video": "scannet/scene0697_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntable lamp near the tissue box", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 19 + ], + "object_name": "lamp", + "object_bbox": [ + [ + 1.3266827464103699, + -1.3158157467842102, + 0.8390592038631439, + 0.3008953332901001, + 0.22210919857025146, + 0.495033323764801 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "tissue box", + "object_bbox": [ + [ + 1.4093825221061707, + -1.7381754517555237, + 0.7271000444889069, + 0.13375484943389893, + 0.2930868864059448, + 0.27869194746017456 + ] + ] + } + ], + "target_object_id": 19, + "target_object_name": "lamp" + } + }, + { + "id": 2623, + "video": "scannet/scene0658_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndustbin is near the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 18 + ], + "object_name": "recycling bin", + "object_bbox": [ + [ + 1.1238692700862885, + -0.9276810586452484, + 0.16685967962257564, + 0.4371216893196106, + 0.37749558687210083, + 0.34305019536986947 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "chair", + "object_bbox": [ + [ + 0.8098959028720856, + -1.2453522086143494, + 0.5003786894958466, + 0.609745442867279, + 0.8368734121322632, + 1.0110293203033507 + ] + ] + } + ], + "target_object_id": 18, + "target_object_name": "recycling" + } + }, + { + "id": 2624, + "video": "scannet/scene0647_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag is close to the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 21 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 2.0630505084991455, + 1.4168763160705566, + 0.19052046886645257, + 0.4168429374694824, + 0.4359147548675537, + 0.37248509423807263 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "chair", + "object_bbox": [ + [ + 1.8598612546920776, + 0.6649563759565353, + 0.41491236723959446, + 0.7687537670135498, + 0.6771091520786285, + 0.876563023775816 + ] + ] + } + ], + "target_object_id": 21, + "target_object_name": "backpack" + } + }, + { + "id": 2625, + "video": "scannet/scene0169_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\npainting above the storage cabinet", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 9 + ], + "object_name": "picture", + "object_bbox": [ + [ + 1.377713292837143, + 2.981859803199768, + 1.658652424812317, + 1.015771210193634, + 0.07001328468322754, + 0.6237576007843018 + ] + ] + }, + { + "object_id": [ + 12 + ], + "object_name": "cabinet", + "object_bbox": [ + [ + 1.0824206285178661, + 2.6292788982391357, + 0.402193833142519, + 2.018236555159092, + 0.8299283981323242, + 0.78635623306036 + ] + ] + } + ], + "target_object_id": 9, + "target_object_name": "picture" + } + }, + { + "id": 2626, + "video": "scannet/scene0461_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntable opposite to 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"conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nXeror machine opposite to the Paper cutter ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "copier", + "object_bbox": [ + [ + 0.34704452008008957, + -1.7675877809524536, + 0.6953696757555008, + 0.7646414190530777, + 0.6616699695587158, + 1.2131570279598236 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "paper cutter", + "object_bbox": [ + [ + -0.8561811149120331, + -0.30947768688201904, + 0.9113249778747559, + 0.6628194451332092, + 0.5475903749465942, + 0.10927081108093262 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "copier" + } + }, + { + "id": 2746, + "video": "scannet/scene0406_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntoilet next to the dustbin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 3 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.472196351736784, + 0.19066043011844158, + 0.3740422362461686, + 0.7439732328057289, + 0.4476778842508793, + 0.7911079656332731 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 0.729112446308136, + 0.546811655163765, + 0.15286637051030993, + 0.16377508640289307, + 0.32335588335990906, + 0.32558851037174463 + ] + ] + } + ], + "target_object_id": 3, + "target_object_name": "toilet" + } + }, + { + "id": 2747, + "video": "scannet/scene0458_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in 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name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndoor in front of washbasin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 4 + ], + "object_name": "sink", + "object_bbox": [ + [ + 3.2275606393814087, + -1.0537883639335632, + 0.7326658666133881, + 0.5642168521881104, + 0.4520620107650757, + 0.23468929529190063 + ] + ] + }, + { + "object_id": [ + 35 + ], + "object_name": "door", + "object_bbox": [ + [ + 2.2287677526474, + -1.1738988161087036, + 0.9441059399396181, + 0.12383151054382324, + 0.1699080467224121, + 1.9543474577367306 + ] + ] + } + ], + "target_object_id": 35, + "target_object_name": "door" + } + }, + { + "id": 2749, + "video": "scannet/scene0207_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, 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"value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nhand wash dispenser beside tissue dispenser", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 19 + ], + "object_name": "soap dispenser", + "object_bbox": [ + [ + -0.5431831181049347, + -1.5808904767036438, + 1.4076998829841614, + 0.23468154668807983, + 0.11764419078826904, + 0.27185165882110596 + ] + ] + }, + { + "object_id": [ + 18 + ], + "object_name": "paper towel dispenser", + "object_bbox": [ + [ + -0.8516519367694855, + -1.5344592332839966, + 1.4144853949546814, + 0.3674158453941345, + 0.24748516082763672, + 0.3510383367538452 + ] + ] + } + ], + "target_object_id": 19, + "target_object_name": "soap" + } + }, + { + "id": 2772, + "video": "scannet/scene0686_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nsoap dispenser is near to the washbasin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 13 + ], + "object_name": "soap dispenser", + "object_bbox": [ + [ + 0.3963709771633148, + 0.6613330841064453, + 1.1633868217468262, + 0.14201408624649048, + 0.17743778228759766, + 0.23026084899902344 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "sink", + "object_bbox": [ + [ + 0.8074822723865509, + 0.7227092236280441, + 0.6456558704376221, + 0.5664677023887634, + 0.47063151001930237, + 0.5374994277954102 + ] + ] + } + ], + "target_object_id": 13, + "target_object_name": "soap" + } + }, + { + "id": 2773, + "video": "scannet/scene0221_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nroom heater is beside to the curtain", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 24 + ], + "object_name": "radiator", + "object_bbox": [ + [ + -0.9894722700119019, + 4.220837116241455, + 0.3884976916015148, + 1.0465903282165527, + 0.2643556594848633, + 0.5750164166092873 + ] + ] + }, + { + "object_id": [ + 23 + ], + "object_name": "curtain", + "object_bbox": [ + [ + 0.6388479322195053, + 4.124016165733337, + 0.7569844974204898, + 1.6960671246051788, + 0.403148889541626, + 1.4667183849960566 + ] + ] + } + ], + "target_object_id": 24, + "target_object_name": "radiator" + } + }, + { + "id": 2774, + "video": "scannet/scene0146_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nhand wash dispenser beside the wash basin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 12 + ], + "object_name": "soap dispenser", + "object_bbox": [ + [ + 0.7282916307449341, + -0.6758350133895874, + 1.1445667147636414, + 0.12407529354095459, + 0.10248935222625732, + 0.22748196125030518 + ] + ] + }, + { + "object_id": [ + 6 + ], + "object_name": "sink", + "object_bbox": [ + [ + 0.71425561606884, + -0.31277555227279663, + 0.6422175318002701, + 0.4676879942417145, + 0.6211317777633667, + 0.5986871421337128 + ] + ] + } + ], + "target_object_id": 12, + "target_object_name": "soap" + } + }, + { + "id": 2775, + "video": "scannet/scene0412_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the 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+ "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 25 + ], + "object_name": "tv", + "object_bbox": [ + [ + 1.8293200731277466, + -1.2896959483623505, + 1.4797205924987793, + 0.15577912330627441, + 0.7678115963935852, + 0.5493214130401611 + ] + ] + }, + { + "object_id": [ + 27 + ], + "object_name": "dresser", + "object_bbox": [ + [ + 1.6643993258476257, + -1.2926050126552582, + 0.4927552482113242, + 0.5093246698379517, + 0.8512519001960754, + 1.0226133782416582 + ] + ] + } + ], + "target_object_id": 25, + "target_object_name": "tv" + } + }, + { + "id": 2780, + "video": "scannet/scene0583_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntoilet near to the trashbin ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 2 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.6786366254091263, + 1.7567964792251587, + 0.7763022631406784, + 0.7432249486446381, + 0.5595767498016357, + 0.7602891027927399 + ] + ] + }, + { + "object_id": [ + 21 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 0.9097361266613007, + 1.366543710231781, + 0.5560192614793777, + 0.2990930676460266, + 0.33282434940338135, + 0.4355451762676239 + ] + ] + } + ], + "target_object_id": 2, + "target_object_name": "toilet" + } + }, + { + "id": 2781, + "video": "scannet/scene0651_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nrefrigerator is beside the stove", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + 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0.5076774340122938, + 1.564870297908783, + 0.12242639064788818, + 0.8937959708273411, + 0.46905577182769775 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "stove", + "object_bbox": [ + [ + -1.9441027641296387, + 0.5588124506175518, + 0.6298742429353297, + 0.7387123107910156, + 0.9873064532876015, + 1.281023713760078 + ] + ] + } + ], + "target_object_id": 6, + "target_object_name": "microwave" + } + }, + { + "id": 2785, + "video": "scannet/scene0064_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag close to table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 12 + ], + "object_name": "backpack", + "object_bbox": [ + [ + -0.6314476430416107, + -2.9237046241760254, + 0.31578655540943146, + 0.5689323544502258, + 0.550621509552002, + 0.27118757367134094 + ] + ] + }, + { + "object_id": [ + 3 + ], + "object_name": "coffee table", + "object_bbox": [ + [ + -0.47301244735717773, + -2.067819058895111, + 0.12901398539543152, + 1.2691121101379395, + 0.7434483766555786, + 0.512112021446228 + ] + ] + } + ], + "target_object_id": 12, + "target_object_name": "backpack" + } + }, + { + "id": 2786, + "video": "scannet/scene0558_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nA bag is on the wooden chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "backpack", + "object_bbox": [ + [ + -0.4655614495277405, + 0.6608916372060776, + 0.572291910648346, + 0.4692258834838867, + 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2.107754945755005, + -1.5247390866279602, + 0.7862620055675507, + 0.20825862884521484, + 0.35495054721832275, + 0.1866742968559265 + ] + ] + } + ], + "target_object_id": 18, + "target_object_name": "toilet" + } + }, + { + "id": 2790, + "video": "scannet/scene0702_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nteliphone beside the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 6 + ], + "object_name": "telephone", + "object_bbox": [ + [ + 0.7069158554077148, + 0.34982486069202423, + 0.9668245017528534, + 0.12005972862243652, + 0.12145552039146423, + 0.304659903049469 + ] + ] + }, + { + "object_id": [ + 4 + ], + "object_name": "door", + "object_bbox": [ + [ + 0.6434113085269928, + -0.0802697241306305, + 0.9890985937017831, + 0.1355265974998474, + 0.8292832374572754, + 1.9781745968066389 + ] + ] + } + ], + "target_object_id": 6, + "target_object_name": "telephone" + } + }, + { + "id": 2791, + "video": "scannet/scene0435_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nToilet is beside to the trash bin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 12 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.9244442582130432, + -3.541760563850403, + 0.37548727029934525, + 0.7777296304702759, + 0.44121813774108887, + 0.7749417973682284 + ] + ] + }, + { + "object_id": [ + 32 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 1.1822766661643982, + -3.1787155866622925, + 0.15043156105093658, + 0.2298070192337036, + 0.3066422939300537, + 0.3116470822133124 + ] + ] + } + ], + "target_object_id": 12, + "target_object_name": "toilet" + } + }, + { + "id": 2792, + "video": "scannet/scene0552_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nmicrowave oven beside refrigerator", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 19 + ], + "object_name": "microwave", + "object_bbox": [ + [ + 2.0400599241256714, + -0.3925723135471344, + 1.058558464050293, + 0.42701172828674316, + 0.5742562413215637, + 0.3232297897338867 + ] + ] + }, + { + "object_id": [ + 12 + ], + "object_name": "refrigerator", + "object_bbox": [ + [ + 1.5082545280456543, + 0.3061893433332443, + 0.8660046271979809, + 0.2179105281829834, + 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"id": 2822, + "video": "scannet/scene0019_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndustbin close to the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -2.003993034362793, + 1.5151090621948242, + 0.3071349118836224, + 0.5102705955505371, + 0.570009708404541, + 0.6425148537382483 + ] + ] + }, + { + "object_id": [ + 10 + ], + "object_name": "door", + "object_bbox": [ + [ + -1.311978816986084, + 1.6744543313980103, + 0.6911438070237637, + 1.1026966571807861, + 0.22808003425598145, + 1.4207695797085762 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "trash" + } + }, + { + "id": 2823, + "video": "scannet/scene0574_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nDustbin is beside to the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 14 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.7849007844924927, + 0.3529239222407341, + 0.15995457861572504, + 0.23659324645996094, + 0.3656708151102066, + 0.3015360813587904 + ] + ] + }, + { + "object_id": [ + 9 + ], + "object_name": "door", + "object_bbox": [ + [ + -0.9757183194160461, + -0.07575604319572449, + 0.9880690490826964, + 0.07467973232269287, + 0.5976625680923462, + 1.9469325710088015 + ] + ] + } + ], + "target_object_id": 14, + "target_object_name": "trash" + } + }, + { + "id": 2824, + "video": "scannet/scene0139_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nPaper towel dispenser is near to the wash basin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 18 + ], + "object_name": "paper towel dispenser", + "object_bbox": [ + [ + -0.8516519367694855, + -1.5344592332839966, + 1.4144853949546814, + 0.3674158453941345, + 0.24748516082763672, + 0.3510383367538452 + ] + ] + }, + { + "object_id": [ + 24 + ], + "object_name": "sink", + "object_bbox": [ + [ + -0.8764928579330444, + -1.4140658974647522, + 0.7469916343688965, + 0.5930924415588379, + 0.6025339365005493, + 0.45550858974456787 + ] + ] + } + ], + "target_object_id": 18, + "target_object_name": "paper" + } + }, + { + "id": 2825, + "video": "scannet/scene0131_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nplate beside the white board", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 40 + ], + "object_name": "plate", + "object_bbox": [ + [ + -1.1981133222579956, + 1.205311357975006, + 0.9036427140235901, + 0.27613210678100586, + 0.2558780908584595, + 0.03835129737854004 + ] + ] + }, + { + "object_id": [ + 38 + ], + "object_name": "whiteboard", + "object_bbox": [ + [ + -1.326458752155304, + 1.9499242305755615, + 1.1168984770774841, + 0.11076033115386963, + 1.8512063026428223, + 0.4699493646621704 + ] + ] + } + ], + "target_object_id": 40, + "target_object_name": "plate" + } + }, + { + "id": 2826, + "video": "scannet/scene0441_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwash basin near to the dust bin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 13 + ], + "object_name": "sink", + "object_bbox": [ + [ + -0.6883687376976013, + -0.16587048768997192, + 0.5956321656703949, + 0.46413350105285645, + 0.5571119785308838, + 0.6584669947624207 + ] + ] + }, + { + "object_id": [ + 9 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 1.1160553693771362, + -1.7419306635856628, + 0.36757226567715406, + 0.491940975189209, + 0.45703017711639404, + 0.7159390095621347 + ] + ] + } + ], + "target_object_id": 13, + "target_object_name": "sink" + } + }, + { + "id": 2827, + "video": "scannet/scene0149_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nfridge is beside the oven", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 1 + ], + "object_name": "refrigerator", + "object_bbox": [ + [ + -1.4164393246173859, + -1.028797060251236, + 0.7888616137206554, + 0.8631107211112976, + 0.7704359889030457, + 1.5976620092988014 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "microwave", + "object_bbox": [ + [ + -1.5874403715133667, + -0.016225963830947876, + 1.5500420331954956, + 0.1459484100341797, + 0.8008409738540649, + 0.4470984935760498 + ] + ] + } + ], + "target_object_id": 1, + "target_object_name": "refrigerator" + } + }, + { + "id": 2828, + "video": "scannet/scene0426_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nTv next to the Door ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 35 + ], + "object_name": "tv", + "object_bbox": [ + [ + -0.5813586711883545, + -1.662696659564972, + 1.148691713809967, + 0.9401631355285645, + 0.09138023853302002, + 0.5906609296798706 + ] + ] + }, + { + "object_id": [ + 17 + ], + "object_name": "door", + "object_bbox": [ + [ + 1.0320070385932922, + -1.8779802918434143, + 0.9022283318918198, + 0.9282890558242798, + 0.11058056354522705, + 1.7917953007854521 + ] + ] + } + ], + "target_object_id": 35, + "target_object_name": "tv" + } + }, + { + "id": 2829, + "video": "scannet/scene0426_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nTV on the drawer", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 35 + ], + "object_name": "tv", + "object_bbox": [ + [ + -0.5813586711883545, + -1.662696659564972, + 1.148691713809967, + 0.9401631355285645, + 0.09138023853302002, + 0.5906609296798706 + ] + ] + }, + { + "object_id": [ + 8 + ], + "object_name": "dresser", + "object_bbox": [ + [ + -0.6747252345085144, + -1.6707767844200134, + 0.3788657361874357, + 1.307757019996643, + 0.5327192544937134, + 0.7520142446737736 + ] + ] + } + ], + "target_object_id": 35, + "target_object_name": "tv" + } + }, + { + "id": 2830, + "video": "scannet/scene0015_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag on the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": 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"conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntelephone on the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 15 + ], + "object_name": "telephone", + "object_bbox": [ + [ + 0.5341071933507919, + 1.245411455631256, + 0.8255934119224548, + 0.14230039715766907, + 0.2677501440048218, + 0.1891183853149414 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "table", + "object_bbox": [ + [ + 0.5423423275351524, + 0.7693719250382856, + 0.40842470340430737, + 0.7701854258775711, + 1.5328706537839025, + 0.7298635877668858 + ] + ] + } + ], + "target_object_id": 15, + "target_object_name": "telephone" + } + }, + { + "id": 2929, + "video": "scannet/scene0086_00", + "conversations": [ + { + "value": "Locate all the 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"dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 25 + ], + "object_name": "picture", + "object_bbox": [ + [ + -1.3639977872371674, + -3.1199188232421875, + 1.6347106099128723, + 0.7298169732093811, + 0.1204986572265625, + 0.7595866918563843 + ] + ] + }, + { + "object_id": [ + 24 + ], + "object_name": "cabinet", + "object_bbox": [ + [ + -1.1915059089660645, + -2.6655375957489014, + 0.4763661175966263, + 2.0687437057495117, + 0.8248419761657715, + 0.8263436257839203 + ] + ] + } + ], + "target_object_id": 25, + "target_object_name": "picture" + } + }, + { + "id": 2937, + "video": "scannet/scene0353_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nsofa close to the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": 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following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwash basin is next to the hand sanitizer dispenser ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 23 + ], + "object_name": "sink", + "object_bbox": [ + [ + 1.8889349699020386, + -1.8711780309677124, + 0.9008236527442932, + 0.5430433750152588, + 0.5294620990753174, + 0.26357924938201904 + ] + ] + }, + { + "object_id": [ + 22 + ], + "object_name": "soap dispenser", + "object_bbox": [ + [ + 2.1211529970169067, + -1.6367847323417664, + 1.2078800797462463, + 0.12396502494812012, + 0.21333181858062744, + 0.32316291332244873 + ] + ] + } + ], + "target_object_id": 23, + "target_object_name": "sink" + } + }, + { + "id": 2961, + "video": "scannet/scene0606_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwall clock is above the oven", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 9 + ], + "object_name": "clock", + "object_bbox": [ + [ + -1.4447059631347656, + -1.4798322319984436, + 1.8422555923461914, + 0.11638855934143066, + 0.6128107309341431, + 0.6241984367370605 + ] + ] + }, + { + "object_id": [ + 15 + ], + "object_name": "toaster oven", + "object_bbox": [ + [ + -1.2567684054374695, + -1.18086177110672, + 1.0259182751178741, + 0.4104825258255005, + 0.4616793394088745, + 0.515542209148407 + ] + ] + } + ], + "target_object_id": 9, + "target_object_name": "clock" + } + }, + { + "id": 2962, + "video": "scannet/scene0670_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nTrash bin near the apron", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 25 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 1.8146286606788635, + 1.0633473992347717, + 0.2918496113270521, + 0.454065203666687, + 0.44244325160980225, + 0.5039427317678928 + ] + ] + }, + { + "object_id": [ + 22 + ], + "object_name": "kitchen apron", + "object_bbox": [ + [ + 1.9528836607933044, + 1.4717183709144592, + 0.7571472078561783, + 0.18063652515411377, + 0.32609331607818604, + 1.002360314130783 + ] + ] + } + ], + "target_object_id": 25, + "target_object_name": "trash" + } + }, + { + "id": 2963, + "video": "scannet/scene0193_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, 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+ "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 4 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 1.2174910306930542, + 0.15988733619451523, + 0.19449466979131103, + 0.42379188537597656, + 0.46397824585437775, + 0.41581707168370485 + ] + ] + }, + { + "object_id": [ + 8 + ], + "object_name": "table", + "object_bbox": [ + [ + 1.6885866522789001, + 0.7466109693050385, + 0.4226117036305368, + 1.1140257120132446, + 1.2670767903327942, + 0.8285052971914411 + ] + ] + } + ], + "target_object_id": 4, + "target_object_name": "backpack" + } + }, + { + "id": 2966, + "video": "scannet/scene0606_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nclock is above to the oven", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": 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"question_type": "locate3d", + "object": [ + { + "object_id": [ + 19 + ], + "object_name": "microwave", + "object_bbox": [ + [ + 2.0400599241256714, + -0.3925723135471344, + 1.058558464050293, + 0.42701172828674316, + 0.5742562413215637, + 0.3232297897338867 + ] + ] + }, + { + "object_id": [ + 12 + ], + "object_name": "refrigerator", + "object_bbox": [ + [ + 1.5082545280456543, + 0.3061893433332443, + 0.8660046271979809, + 0.2179105281829834, + 0.9875296652317047, + 1.6622730866074562 + ] + ] + } + ], + "target_object_id": 19, + "target_object_name": "microwave" + } + }, + { + "id": 2968, + "video": "scannet/scene0671_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nThe flower vase on the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 0 + ], + "object_name": "plant", + "object_bbox": [ + [ + 0.13311642035841942, + -0.18708708882331848, + 0.9980209767818451, + 0.4286651685833931, + 0.524509608745575, + 0.5968251824378967 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "table", + "object_bbox": [ + [ + 0.13736306130886078, + -0.17095136642456055, + 0.37572927959263325, + 1.0351631939411163, + 2.123023271560669, + 0.7846092842519283 + ] + ] + } + ], + "target_object_id": 0, + "target_object_name": "plant" + } + }, + { + "id": 2969, + "video": "scannet/scene0187_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nTable near orange stool", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 9 + ], + "object_name": "coffee table", + "object_bbox": [ + [ + -0.4378144145011902, + -1.4161006212234497, + 0.1685234848409891, + 1.0983580350875854, + 1.0933253765106201, + 0.43211568519473076 + ] + ] + }, + { + "object_id": [ + 15 + ], + "object_name": "seat", + "object_bbox": [ + [ + -1.0723724365234375, + -2.952943801879883, + 0.2224045917391777, + 0.3981966972351074, + 0.3770170211791992, + 0.4056561142206192 + ] + ] + } + ], + "target_object_id": 9, + "target_object_name": "coffee" + } + }, + { + "id": 2970, + "video": "scannet/scene0249_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nrecycle bin is next to table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 23 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -2.118104875087738, + -4.035758018493652, + 0.6058953031897545, + 0.5306063890457153, + 0.33215808868408203, + 0.8533143550157547 + ] + ] + }, + { + "object_id": [ + 22 + ], + "object_name": "folded table", + "object_bbox": [ + [ + -1.4184624552726746, + -2.4105461835861206, + 0.5914708971977234, + 0.5395382642745972, + 1.5585696697235107, + 0.9730514287948608 + ] + ] + } + ], + "target_object_id": 23, + "target_object_name": "trash" + } + }, + { + "id": 2971, + "video": "scannet/scene0329_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwhite board is infront of center table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 43 + ], + "object_name": "whiteboard", + "object_bbox": [ + [ + 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1.0472895503044128, + 1.041576862335205, + 0.3218555450439453, + 0.737235426902771 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "tv stand", + "object_bbox": [ + [ + -2.488241732120514, + -1.4437221884727478, + 0.4217158928513527, + 1.219943881034851, + 0.48592865467071533, + 0.6460763663053513 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "tv" + } + }, + { + "id": 2973, + "video": "scannet/scene0700_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwardrobe is close to the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 10 + ], + "object_name": "cabinet", + "object_bbox": [ + [ + 1.2114761173725128, + 2.0260557532310486, + 0.8237227713689208, + 0.45134228467941284, + 1.3659569025039673, + 1.6927806306630373 + ] + ] + }, + { + "object_id": [ + 9 + ], + "object_name": "door", + "object_bbox": [ + [ + 0.2996305525302887, + 2.702035069465637, + 0.7568524782545865, + 1.5292674899101257, + 0.1384422779083252, + 1.5313172927126288 + ] + ] + } + ], + "target_object_id": 10, + "target_object_name": "cabinet" + } + }, + { + "id": 2974, + "video": "scannet/scene0046_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntoilet seat next to wash basin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 31 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.7309330701828003, + -0.8356742560863495, + 0.4921368137001991, + 0.5318078994750977, + 0.40834957361221313, + 0.7541641443967819 + ] + ] 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"object_name": "ironing board", + "object_bbox": [ + [ + -0.8690373599529266, + -0.5975071787834167, + 0.7471746588125825, + 0.11449819803237915, + 0.4231860637664795, + 1.445254249498248 + ] + ] + } + ], + "target_object_id": 12, + "target_object_name": "iron" + } + }, + { + "id": 2976, + "video": "scannet/scene0406_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntissue roll above the dust bin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 19 + ], + "object_name": "toilet paper", + "object_bbox": [ + [ + 0.8172206580638885, + 0.5759686231613159, + 0.489763543009758, + 0.12610942125320435, + 0.14566314220428467, + 0.08222630620002747 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 0.729112446308136, + 0.546811655163765, + 0.15286637051030993, + 0.16377508640289307, + 0.32335588335990906, + 0.32558851037174463 + ] + ] + } + ], + "target_object_id": 19, + "target_object_name": "toilet" + } + }, + { + "id": 2977, + "video": "scannet/scene0583_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntoilet seat beside the dust bin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 2 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.6786366254091263, + 1.7567964792251587, + 0.7763022631406784, + 0.7432249486446381, + 0.5595767498016357, + 0.7602891027927399 + ] + ] + }, + { + "object_id": [ + 21 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 0.9097361266613007, 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0.8853275924921036, + 0.2676376700401306, + 0.49335217475891113, + 1.0055672824382782 + ] + ] + } + ], + "target_object_id": 4, + "target_object_name": "plant" + } + }, + { + "id": 2979, + "video": "scannet/scene0257_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nfire extinguisher beside the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 27 + ], + "object_name": "fire extinguisher", + "object_bbox": [ + [ + 1.4134129881858826, + 1.577045738697052, + 0.34877606853842735, + 0.1554661989212036, + 0.16856825351715088, + 0.4616916850209236 + ] + ] + }, + { + "object_id": [ + 1 + ], + "object_name": "chair", + "object_bbox": [ + [ + 2.19745671749115, + 1.763545274734497, + 0.29056893289089203, + 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+ "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nironing table beside the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 16 + ], + "object_name": "ironing board", + "object_bbox": [ + [ + -0.8690373599529266, + -0.5975071787834167, + 0.7471746588125825, + 0.11449819803237915, + 0.4231860637664795, + 1.445254249498248 + ] + ] + }, + { + "object_id": [ + 9 + ], + "object_name": "door", + "object_bbox": [ + [ + -0.9757183194160461, + -0.07575604319572449, + 0.9880690490826964, + 0.07467973232269287, + 0.5976625680923462, + 1.9469325710088015 + ] + ] + } + ], + "target_object_id": 16, + "target_object_name": "ironing" + } + }, + { + "id": 3084, + "video": "scannet/scene0700_00", + "conversations": [ + { + "value": "Locate all the objects 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bounding box in the format (x1, y1, z1, x2, y2, z2).\ndust stick next to the xerox machine", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 9 + ], + "object_name": "broom", + "object_bbox": [ + [ + 0.8864050507545471, + -2.1284258365631104, + 0.7491036579012871, + 0.31306135654449463, + 0.32389068603515625, + 1.248072162270546 + ] + ] + }, + { + "object_id": [ + 8 + ], + "object_name": "copier", + "object_bbox": [ + [ + 0.34704452008008957, + -1.7675877809524536, + 0.6953696757555008, + 0.7646414190530777, + 0.6616699695587158, + 1.2131570279598236 + ] + ] + } + ], + "target_object_id": 9, + "target_object_name": "broom" + } + }, + { + "id": 3087, + "video": "scannet/scene0015_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, 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"dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 32 + ], + "object_name": "board", + "object_bbox": [ + [ + -3.07758367061615, + -4.0698206424713135, + 0.7493276074528694, + 1.4125683307647705, + 0.2825636863708496, + 1.1072860807180405 + ] + ] + }, + { + "object_id": [ + 23 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -2.118104875087738, + -4.035758018493652, + 0.6058953031897545, + 0.5306063890457153, + 0.33215808868408203, + 0.8533143550157547 + ] + ] + } + ], + "target_object_id": 32, + "target_object_name": "board" + } + }, + { + "id": 3091, + "video": "scannet/scene0549_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nflowervase on the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": 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0.7981052994728088, + 1.411937266588211 + ] + ] + }, + { + "object_id": [ + 24 + ], + "object_name": "chair", + "object_bbox": [ + [ + 0.636001318693161, + -1.5623120665550232, + 0.4719414100982249, + 0.6290668845176697, + 0.6968909502029419, + 0.9334286479279399 + ] + ] + } + ], + "target_object_id": 21, + "target_object_name": "statue" + } + }, + { + "id": 3412, + "video": "scannet/scene0595_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nblack plastic cover on the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 6 + ], + "object_name": "bag", + "object_bbox": [ + [ + -0.9537691175937653, + -3.480710983276367, + 1.0239512622356415, + 0.15947073698043823, + 0.3821859359741211, + 0.16471105813980103 + ] + ] 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"object_bbox": [ + [ + 0.8864050507545471, + -2.1284258365631104, + 0.7491036579012871, + 0.31306135654449463, + 0.32389068603515625, + 1.248072162270546 + ] + ] + } + ], + "target_object_id": 9, + "target_object_name": "broom" + } + }, + { + "id": 3415, + "video": "scannet/scene0686_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nsoap dispenser next to wash basin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 13 + ], + "object_name": "soap dispenser", + "object_bbox": [ + [ + 0.3963709771633148, + 0.6613330841064453, + 1.1633868217468262, + 0.14201408624649048, + 0.17743778228759766, + 0.23026084899902344 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "sink", + "object_bbox": [ + [ + 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"value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntelephone is near the sidetable", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 22 + ], + "object_name": "telephone", + "object_bbox": [ + [ + -0.8196269571781158, + -1.7002260088920593, + 1.0311700999736786, + 0.1363404393196106, + 0.09171402454376221, + 0.4815276265144348 + ] + ] + }, + { + "object_id": [ + 15 + ], + "object_name": "dresser", + "object_bbox": [ + [ + -0.6679753065109253, + -1.4246395826339722, + 0.3794793493580073, + 0.7041940689086914, + 0.6305074691772461, + 0.773350237403065 + ] + ] + } + ], + "target_object_id": 22, + "target_object_name": "telephone" + } + }, + { + "id": 3425, + "video": "scannet/scene0607_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nhand wash dispenser is beside the tissue dispenser ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 21 + ], + "object_name": "soap dispenser", + "object_bbox": [ + [ + 1.839016616344452, + -0.8371319472789764, + 1.280393123626709, + 0.10587179660797119, + 0.20149439573287964, + 0.31033992767333984 + ] + ] + }, + { + "object_id": [ + 20 + ], + "object_name": "paper towel dispenser", + "object_bbox": [ + [ + 1.8381075263023376, + -0.13203269243240356, + 1.2732858657836914, + 0.12707555294036865, + 0.3491106629371643, + 0.4233875274658203 + ] + ] + } + ], + "target_object_id": 21, + "target_object_name": "soap" + } + }, + { + "id": 3426, + "video": "scannet/scene0621_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nChair next to the Door ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 6 + ], + "object_name": "chair", + "object_bbox": [ + [ + -1.8716873526573181, + 1.8824363350868225, + 0.5821853280067444, + 0.6209203004837036, + 0.5413135290145874, + 0.4950568675994873 + ] + ] + }, + { + "object_id": [ + 12 + ], + "object_name": "door", + "object_bbox": [ + [ + -1.8537464141845703, + 3.1309261322021484, + 0.6561125218868256, + 0.45761537551879883, + 1.0029091835021973, + 1.0990479588508606 + ] + ] + } + ], + "target_object_id": 6, + "target_object_name": "chair" + } + }, + { + "id": 3427, + "video": "scannet/scene0046_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwater closet is next to the wash basen", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 31 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.7309330701828003, + -0.8356742560863495, + 0.4921368137001991, + 0.5318078994750977, + 0.40834957361221313, + 0.7541641443967819 + ] + ] + }, + { + "object_id": [ + 37 + ], + "object_name": "sink", + "object_bbox": [ + [ + 0.7913303375244141, + -1.5304937362670898, + 0.7675840854644775, + 0.5081853866577148, + 0.648385763168335, + 0.1975240707397461 + ] + ] + } + ], + "target_object_id": 31, + "target_object_name": "toilet" + } + }, + { + "id": 3428, + "video": "scannet/scene0378_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format 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0.5003786894958466, + 0.609745442867279, + 0.8368734121322632, + 1.0110293203033507 + ] + ] + } + ], + "target_object_id": 11, + "target_object_name": "chair" + } + }, + { + "id": 3518, + "video": "scannet/scene0643_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntelephone on the side table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 25 + ], + "object_name": "telephone", + "object_bbox": [ + [ + -1.5109237432479858, + -0.14388751983642578, + 0.8123955726623535, + 0.25679945945739746, + 0.20456454157829285, + 0.1111147403717041 + ] + ] + }, + { + "object_id": [ + 9 + ], + "object_name": "mini fridge", + "object_bbox": [ + [ + -1.3734421730041504, + -0.0010949373245239258, + 0.3811175590381026, + 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0.32609331607818604, + 1.002360314130783 + ] + ] + } + ], + "target_object_id": 25, + "target_object_name": "trash" + } + }, + { + "id": 3520, + "video": "scannet/scene0616_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nLamp is on the round table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 31 + ], + "object_name": "lamp", + "object_bbox": [ + [ + -2.6198179721832275, + 1.5017396211624146, + 1.0905600488185883, + 0.3744072914123535, + 0.36558961868286133, + 0.5929997563362122 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "table", + "object_bbox": [ + [ + -2.3786650896072388, + 1.3289854526519775, + 0.4162025195546448, + 1.0763194561004639, + 1.073915958404541, + 0.8512886082753539 + ] + ] + } + 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"target_object_name": "trash" + } + }, + { + "id": 3522, + "video": "scannet/scene0011_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nTrash bin near the TV", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 15 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -1.4671827554702759, + -2.9534281492233276, + 0.43802113394485787, + 0.4001162052154541, + 0.4060075283050537, + 0.8738771466305479 + ] + ] + }, + { + "object_id": [ + 18 + ], + "object_name": "tv", + "object_bbox": [ + [ + -0.482810914516449, + -3.0757821798324585, + 1.4895106852054596, + 1.559386134147644, + 0.26265501976013184, + 0.9828457236289978 + ] + ] + } + ], + "target_object_id": 15, + "target_object_name": "trash" + } + }, + { + "id": 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"value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntissue roll is next to toilet seat", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 14 + ], + "object_name": "toilet paper", + "object_bbox": [ + [ + -1.2999787330627441, + -0.48770810663700104, + 0.48967407643795013, + 0.11052513122558594, + 0.16187140345573425, + 0.3342854082584381 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "toilet", + "object_bbox": [ + [ + -1.008348524570465, + -0.0004597604274749756, + 0.31100786849856377, + 0.7156263589859009, + 0.5161067247390747, + 0.64966831356287 + ] + ] + } + ], + "target_object_id": 14, + "target_object_name": "toilet" + } + }, + { + "id": 3526, + "video": "scannet/scene0574_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\niron box is above the iron stand ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 12 + ], + "object_name": "iron", + "object_bbox": [ + [ + -0.8464960157871246, + -0.5685388892889023, + 1.7403282523155212, + 0.15288490056991577, + 0.17621317505836487, + 0.34116947650909424 + ] + ] + }, + { + "object_id": [ + 16 + ], + "object_name": "ironing board", + "object_bbox": [ + [ + -0.8690373599529266, + -0.5975071787834167, + 0.7471746588125825, + 0.11449819803237915, + 0.4231860637664795, + 1.445254249498248 + ] + ] + } + ], + "target_object_id": 12, + "target_object_name": "iron" + } + }, + { + "id": 3527, + "video": "scannet/scene0050_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following 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3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nLaptop is on the desk", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 28 + ], + "object_name": "laptop", + "object_bbox": [ + [ + 0.790346086025238, + -0.09312507510185242, + 0.8002713322639465, + 0.35548722743988037, + 0.3822650909423828, + 0.21755218505859375 + ] + ] + }, + { + "object_id": [ + 4 + ], + "object_name": "desk", + "object_bbox": [ + [ + 0.947452038526535, + 0.26310282945632935, + 0.39691475220024586, + 0.6771357655525208, + 1.234889030456543, + 0.8580492101609707 + ] + ] + } + ], + "target_object_id": 28, + "target_object_name": "laptop" + } + }, + { + "id": 3529, + "video": "scannet/scene0593_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nBag is on the sofa", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 26 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 0.34706123918294907, + -2.2198201417922974, + 0.5852393954992294, + 0.4824778586626053, + 0.4794576168060303, + 0.31795039772987366 + ] + ] + }, + { + "object_id": [ + 24 + ], + "object_name": "couch", + "object_bbox": [ + [ + -0.011799812316894531, + -2.194964051246643, + 0.33039270900189877, + 1.8510372638702393, + 0.8182098865509033, + 0.7772509045898914 + ] + ] + } + ], + "target_object_id": 26, + "target_object_name": "backpack" + } + }, + { + "id": 3530, + "video": "scannet/scene0084_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\njacket next to washbasin", + "from": "human" 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"metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 0 + ], + "object_name": "guitar", + "object_bbox": [ + [ + -0.5071644484996796, + -1.1923898756504059, + 0.33055903017520905, + 0.6085050702095032, + 0.4038082957267761, + 0.8904540240764618 + ] + ] + }, + { + "object_id": [ + 3 + ], + "object_name": "keyboard piano", + "object_bbox": [ + [ + -0.7629492878913879, + -1.5178104639053345, + 0.7510908842086792, + 0.8114475011825562, + 0.7537131309509277, + 0.1752631664276123 + ] + ] + } + ], + "target_object_id": 0, + "target_object_name": "guitar" + } + }, + { + "id": 3532, + "video": "scannet/scene0595_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ngarbage bag on the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 6 + ], + "object_name": "bag", + "object_bbox": [ + [ + -0.9537691175937653, + -3.480710983276367, + 1.0239512622356415, + 0.15947073698043823, + 0.3821859359741211, + 0.16471105813980103 + ] + ] + }, + { + "object_id": [ + 4 + ], + "object_name": "table", + "object_bbox": [ + [ + -0.91447913646698, + -3.6018162965774536, + 0.925715446472168, + 0.8893914222717285, + 1.4840962886810303, + 0.17200875282287598 + ] + ] + } + ], + "target_object_id": 6, + "target_object_name": "bag" + } + }, + { + "id": 3533, + "video": "scannet/scene0651_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nstove beside the refrigerator", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 6 + ], + "object_name": "stove", + "object_bbox": [ + [ + 1.0202812254428864, + 1.1163070499897003, + 0.539793211966753, + 0.6402925848960876, + 0.700652539730072, + 1.0321522578597069 + ] + ] + }, + { + "object_id": [ + 2 + ], + "object_name": "refrigerator", + "object_bbox": [ + [ + 0.8847166001796722, + 0.35513565968722105, + 0.7751437386905309, + 0.7538831830024719, + 0.6507807169109583, + 1.5497021752526052 + ] + ] + } + ], + "target_object_id": 6, + "target_object_name": "stove" + } + }, + { + "id": 3534, + "video": "scannet/scene0462_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndust bin near to the basket", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 10 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 1.0585462749004364, + 0.11441031098365784, + 0.41043999791145325, + 0.69073086977005, + 0.7060590982437134, + 0.985171377658844 + ] + ] + }, + { + "object_id": [ + 15 + ], + "object_name": "bin", + "object_bbox": [ + [ + -0.5156261920928955, + -0.9058531522750854, + 0.03911807760596275, + 0.45960962772369385, + 0.5099735260009766, + 0.28085095435380936 + ] + ] + } + ], + "target_object_id": 10, + "target_object_name": "trash" + } + }, + { + "id": 3535, + "video": "scannet/scene0164_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntissue roll next to soda maker", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 18 + ], + "object_name": "paper towel roll", + "object_bbox": [ + [ + -0.5417321622371674, + -1.101273536682129, + 1.0381177067756653, + 0.1410844922065735, + 0.12925219535827637, + 0.2771040201187134 + ] + ] + }, + { + "object_id": [ + 1 + ], + "object_name": "soda stream", + "object_bbox": [ + [ + -0.8803333938121796, + -1.0374155640602112, + 1.105870097875595, + 0.13957637548446655, + 0.16198599338531494, + 0.4131196141242981 + ] + ] + } + ], + "target_object_id": 18, + "target_object_name": "paper" + } + }, + { + "id": 3536, + "video": "scannet/scene0356_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbed is near the window", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 10 + ], + "object_name": "bed", + "object_bbox": [ + [ + 1.17813640832901, + 1.012117214500904, + 0.4792586804833263, + 1.0667279958724976, + 2.342850551009178, + 0.9495419976301491 + ] + ] + }, + { + "object_id": [ + 8 + ], + "object_name": "window", + "object_bbox": [ + [ + 0.7855855971574783, + 2.287492036819458, + 1.274985283613205, + 1.8606475293636322, + 0.28444433212280273, + 1.0426550507545471 + ] + ] + } + ], + "target_object_id": 10, + "target_object_name": "bed" + } + }, + { + "id": 3537, + "video": "scannet/scene0550_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndustbin near room heater", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 7 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.07268473505973816, + -0.7951109707355499, + 0.32805795362219214, + 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output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntoilet next to the washbasin ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 7 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.29693680070340633, + 0.7805013507604599, + 0.3262480767443776, + 0.5228853411972523, + 0.6457875072956085, + 0.6662011798471212 + ] + ] + }, + { + "object_id": [ + 6 + ], + "object_name": "sink", + "object_bbox": [ + [ + -0.4426247775554657, + 0.8682216107845306, + 0.7289268970489502, + 0.40645474195480347, + 0.22556966543197632, + 0.1146312952041626 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "toilet" + } + }, + { + "id": 3595, + "video": "scannet/scene0670_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nKitchen apron is beside the dust bin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 22 + ], + "object_name": "kitchen apron", + "object_bbox": [ + [ + 1.9528836607933044, + 1.4717183709144592, + 0.7571472078561783, + 0.18063652515411377, + 0.32609331607818604, + 1.002360314130783 + ] + ] + }, + { + "object_id": [ + 25 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 1.8146286606788635, + 1.0633473992347717, + 0.2918496113270521, + 0.454065203666687, + 0.44244325160980225, + 0.5039427317678928 + ] + ] + } + ], + "target_object_id": 22, + "target_object_name": "kitchen" + } + }, + { + "id": 3596, + "video": "scannet/scene0139_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nhand soap dispenser is beside tissue paper dispenser", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 19 + ], + "object_name": "soap dispenser", + "object_bbox": [ + [ + -0.5431831181049347, + -1.5808904767036438, + 1.4076998829841614, + 0.23468154668807983, + 0.11764419078826904, + 0.27185165882110596 + ] + ] + }, + { + "object_id": [ + 18 + ], + "object_name": "paper towel dispenser", + "object_bbox": [ + [ + -0.8516519367694855, + -1.5344592332839966, + 1.4144853949546814, + 0.3674158453941345, + 0.24748516082763672, + 0.3510383367538452 + ] + ] + } + ], + "target_object_id": 19, + "target_object_name": "soap" + } + }, + { + "id": 3597, + "video": "scannet/scene0046_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwash basin beside the bath tub", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 37 + ], + "object_name": "sink", + "object_bbox": [ + [ + 0.7913303375244141, + -1.5304937362670898, + 0.7675840854644775, + 0.5081853866577148, + 0.648385763168335, + 0.1975240707397461 + ] + ] + }, + { + "object_id": [ + 2 + ], + "object_name": "bathtub", + "object_bbox": [ + [ + 0.5018421113491058, + -2.1277427077293396, + 0.3257803041487932, + 1.479469120502472, + 0.7596398591995239, + 0.7010150514543056 + ] + ] + } + ], + "target_object_id": 37, + "target_object_name": "sink" + } + }, + { + "id": 3598, + "video": "scannet/scene0685_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nair compressor is beside the door ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 2 + ], + "object_name": "door", + "object_bbox": [ + [ + -0.042928099632263184, + 2.4712960720062256, + 1.2334462199360132, + 1.1095294952392578, + 0.07116508483886719, + 2.4596727304160595 + ] + ] + }, + { + "object_id": [ + 19 + ], + "object_name": "object", + "object_bbox": [ + [ + 0.6712610572576523, + 1.9774841666221619, + 2.1622217893600464, + 0.3836055099964142, + 0.45805180072784424, + 1.053389310836792 + ] + ] + } + ], + "target_object_id": 19, + "target_object_name": "object" + } + }, + { + "id": 3599, + "video": "scannet/scene0377_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwooden chair is beside to the white colour bucket ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "chair", + "object_bbox": [ + [ + 0.5315771251916885, + -1.590395748615265, + 0.351584842428565, + 0.5023503005504608, + 0.6357072591781616, + 0.7963488288223743 + ] + ] + }, + { + "object_id": [ + 8 + ], + "object_name": "bucket", + "object_bbox": [ + [ + -0.0687856376171112, + -1.6832805275917053, + 0.07689866051077843, + 0.2776642441749573, + 0.32635295391082764, + 0.22531480342149734 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "bucket" + } + }, + { + "id": 3600, + "video": "scannet/scene0353_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nsipper bottle is next to the laptop", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 40 + ], + "object_name": "bottle", + "object_bbox": [ + [ + 0.7408329844474792, + 0.924958348274231, + 0.8142217397689819, + 0.11078548431396484, + 0.11001265048980713, + 0.2262554168701172 + ] + ] + }, + { + "object_id": [ + 34 + ], + "object_name": "laptop", + "object_bbox": [ + [ + 0.777728259563446, + 1.3623437285423279, + 0.758865088224411, + 0.30045342445373535, + 0.396342396736145, + 0.08832389116287231 + ] + ] + } + ], + "target_object_id": 40, + "target_object_name": "bottle" + } + }, + { + "id": 3601, + "video": "scannet/scene0578_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nTable close to the dustbin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "table", + "object_bbox": [ + [ + -0.18533623218536377, + -0.36232149600982666, + 0.3455299846827984, + 1.0183472633361816, + 1.7584707736968994, + 0.7580058351159096 + ] + ] + }, + { + "object_id": [ + 14 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.3984375, + 1.7173911333084106, + 0.20076798647642136, + 0.32428479194641113, + 0.3392460346221924, + 0.31688763201236725 + ] + ] + } + ], + "target_object_id": 11, + "target_object_name": "table" + } + }, + { + "id": 3602, + "video": "scannet/scene0699_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nchair under the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 16 + ], + "object_name": "chair", + "object_bbox": [ + [ + -0.9002170562744141, + -1.5098844766616821, + 0.3900028127245605, + 0.5700602531433105, + 0.4423098564147949, + 0.7847012961283326 + ] + ] + }, + { + "object_id": [ + 6 + ], + "object_name": "table", + "object_bbox": [ + [ + -1.5491849184036255, + -1.4759461879730225, + 0.39706269605085254, + 0.8818016052246094, + 1.3575258255004883, + 0.8172919014468789 + ] + ] + } + ], + "target_object_id": 16, + "target_object_name": "chair" + } + }, + { + "id": 3603, + "video": "scannet/scene0684_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntelephone is beside to the tissue roller", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 15 + ], + "object_name": "telephone", + "object_bbox": [ + [ + 0.5341071933507919, + 1.245411455631256, + 0.8255934119224548, + 0.14230039715766907, + 0.2677501440048218, + 0.1891183853149414 + ] + ] + }, + { + "object_id": [ + 19 + ], + "object_name": "object", + "object_bbox": [ + [ + 0.7113284468650818, + 1.1437618136405945, + 0.8397839367389679, + 0.13740718364715576, + 0.14399826526641846, + 0.2116442322731018 + ] + ] + } + ], + "target_object_id": 15, + "target_object_name": "telephone" + } + }, + { + "id": 3604, + "video": "scannet/scene0598_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag is on the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 21 + ], + "object_name": "backpack", + "object_bbox": [ + [ + -0.3271266520023346, + 1.133034884929657, + 0.8872862160205841, + 0.4690176844596863, + 0.32170212268829346, + 0.4374629855155945 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "table", + "object_bbox": [ + [ + 0.22160029411315918, + 1.771982580423355, + 0.39153352566063404, + 2.7540972232818604, + 1.5906292796134949, + 0.8510981164872646 + ] + ] + } + ], + "target_object_id": 21, + "target_object_name": "backpack" + } + }, + { + "id": 3605, + "video": "scannet/scene0618_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nRoom heater next to the snooker table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 19 + ], + "object_name": "radiator", + "object_bbox": [ + [ + -1.9652860164642334, + 0.5812189457938075, + 0.4276087721809745, + 0.2109055519104004, + 1.1754312757402658, + 0.8480207044631243 + ] + ] + }, + { + "object_id": [ + 17 + ], + "object_name": "pool table", + "object_bbox": [ + [ + 0.0018897056579589844, + 0.12459027767181396, + 0.3930200766772032, + 1.4387500286102295, + 2.5833396911621094, + 0.8648130036890507 + ] + ] + } + ], + "target_object_id": 19, + "target_object_name": "radiator" + } + }, + { + "id": 3606, + "video": "scannet/scene0153_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntoilet beside the tissue paper", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 7 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.020989656448364258, + 0.6031801551580429, + 0.33785976376384497, + 0.5085801482200623, + 0.7313168346881866, + 0.6979841906577349 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "toilet paper", + "object_bbox": [ + [ + -0.35171404480934143, + 0.5562788993120193, + 0.4408848434686661, + 0.1086350679397583, + 0.20200178027153015, + 0.11170318722724915 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "toilet" + } + }, + { + "id": 3607, + "video": "scannet/scene0025_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\npillow on the sofa", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 41 + ], + "object_name": "pillow", + "object_bbox": [ + [ + 1.3432514071464539, + 2.0798405408859253, + 0.43399906158447266, + 0.633374810218811, + 0.5466339588165283, + 0.21623611450195312 + ] + ] + }, + { + "object_id": [ + 4 + ], + "object_name": "couch", + "object_bbox": [ + [ + 1.3059209883213043, + 1.6894736289978027, + 0.30671440809965134, + 0.7668754458427429, + 1.405618667602539, + 0.6410879045724869 + ] + ] + } + ], + "target_object_id": 41, + "target_object_name": "pillow" + } + }, + { + "id": 3608, + "video": "scannet/scene0700_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag on the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 5 + ], + "object_name": "backpack", + "object_bbox": [ + [ + -0.7113561034202576, + -0.9054419696331024, + 0.6870144307613373, + 0.41703760623931885, + 0.39445048570632935, + 0.41682249307632446 + ] + ] + }, + { + "object_id": [ + 1 + ], + "object_name": "chair", + "object_bbox": [ + [ + -0.7082715034484863, + -0.9492214620113373, + 0.44548397045582533, + 0.5992147922515869, + 0.643808901309967, + 0.9327837470918894 + ] + ] + } + ], + "target_object_id": 5, + "target_object_name": "backpack" + } + }, + { + "id": 3609, + "video": "scannet/scene0618_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nroom heater opposite to pool table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 19 + ], + "object_name": "radiator", + "object_bbox": [ + [ + -1.9652860164642334, + 0.5812189457938075, + 0.4276087721809745, + 0.2109055519104004, + 1.1754312757402658, + 0.8480207044631243 + ] + ] + }, + { + "object_id": [ + 17 + ], + "object_name": "pool table", + "object_bbox": [ + [ + 0.0018897056579589844, + 0.12459027767181396, + 0.3930200766772032, + 1.4387500286102295, + 2.5833396911621094, + 0.8648130036890507 + ] + ] + } + ], + "target_object_id": 19, + "target_object_name": "radiator" + } + }, + { + "id": 3610, + "video": "scannet/scene0697_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntrash bin near to the bed", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 2 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.2977001368999481, + -1.9959408640861511, + 0.06496090814471245, + 0.26901113986968994, + 0.2617985010147095, + 0.2603596821427345 + ] + ] + }, + { + "object_id": [ + 9 + ], + "object_name": "bed", + "object_bbox": 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0.3038691356778145, + 0.7334340810775757, + 0.7686144113540649, + 0.6728367656469345 + ] + ] + } + ], + "target_object_id": 5, + "target_object_name": "door" + } + }, + { + "id": 3612, + "video": "scannet/scene0316_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nLamp on the round table ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "object", + "object_bbox": [ + [ + -1.356468379497528, + 1.6424403190612793, + 0.7908769845962524, + 0.23160779476165771, + 0.23783493041992188, + 0.3086071014404297 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "table", + "object_bbox": [ + [ + -1.37653386592865, + 1.5815006494522095, + 0.3310860343044624, + 0.6817660331726074, + 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"target_object_id": 11, + "target_object_name": "backpack" + } + }, + { + "id": 3614, + "video": "scannet/scene0461_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nside table close to window", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 3 + ], + "object_name": "table", + "object_bbox": [ + [ + 0.007354050874710083, + 0.31664210464805365, + 0.23684078268706799, + 0.61811363697052, + 0.6498322505503893, + 0.5337597168982029 + ] + ] + }, + { + "object_id": [ + 8 + ], + "object_name": "window", + "object_bbox": [ + [ + 0.4156566262245178, + 0.8681693971157074, + 1.6320827305316925, + 1.9290167093276978, + 0.5333955883979797, + 1.3512434363365173 + ] + ] + } + ], + "target_object_id": 3, + "target_object_name": 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description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntrash bin close to storage rack", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 16 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.9737130403518677, + 1.1033497750759125, + 0.15889792330563068, + 0.33814048767089844, + 0.5084138512611389, + 0.4103563092648983 + ] + ] + }, + { + "object_id": [ + 0 + ], + "object_name": "shelf", + "object_bbox": [ + [ + -1.2135469913482666, + 1.5934456586837769, + 1.154481627047062, + 0.43320274353027344, + 1.6649363040924072, + 1.8403740376234055 + ] + ] + } + ], + "target_object_id": 16, + "target_object_name": "trash" + } + }, + { + "id": 3645, + "video": "scannet/scene0019_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 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y2, z2).\nbag on the table ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "backpack", + "object_bbox": [ + [ + -1.279086709022522, + 1.423708200454712, + 1.0932652950286865, + 0.44889211654663086, + 0.5470952987670898, + 0.2459871768951416 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "table", + "object_bbox": [ + [ + -1.393738031387329, + 0.8532358519732952, + 1.0408674478530884, + 0.7115237712860107, + 1.8047096505761147, + 0.26172852516174316 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "backpack" + } + }, + { + "id": 3647, + "video": "scannet/scene0086_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nliquid dispenser near the tissue dispenser", + 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"conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nBag near the green stool", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 4 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 1.2174910306930542, + 0.15988733619451523, + 0.19449466979131103, + 0.42379188537597656, + 0.46397824585437775, + 0.41581707168370485 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "seat", + "object_bbox": [ + [ + 2.3667815923690796, + 0.5457611083984375, + 0.2904078923165798, + 0.45758605003356934, + 0.4343622922897339, + 0.4271261766552925 + ] + ] + } + ], + "target_object_id": 4, + "target_object_name": "backpack" + } + }, + { + "id": 3666, + "video": "scannet/scene0599_00", + "conversations": [ + { + "value": "Locate all the 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"object": [ + { + "object_id": [ + 8 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.5829533189535141, + -0.09233789145946503, + 0.09981520473957062, + 0.25106146931648254, + 0.32588252425193787, + 0.305388480424881 + ] + ] + }, + { + "object_id": [ + 6 + ], + "object_name": "toilet", + "object_bbox": [ + [ + -0.3707830011844635, + -0.5639213025569916, + 0.31277550384402275, + 0.6743529438972473, + 0.5005411505699158, + 0.7723903432488441 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "trash" + } + }, + { + "id": 3722, + "video": "scannet/scene0549_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nflower vase is on the small stool ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 20 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"conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nChair in front of the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 4 + ], + "object_name": "chair", + "object_bbox": [ + [ + -0.2683243155479431, + 0.8163810074329376, + 0.43494963296689093, + 0.6631585359573364, + 0.48591703176498413, + 0.8776518176309764 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "table", + "object_bbox": [ + [ + 0.5423423275351524, + 0.7693719250382856, + 0.40842470340430737, + 0.7701854258775711, + 1.5328706537839025, + 0.7298635877668858 + ] + ] + } + ], + "target_object_id": 4, + "target_object_name": "chair" + } + }, + { + "id": 3762, + "video": "scannet/scene0357_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag beside wardrobe", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 28 + ], + "object_name": "backpack", + "object_bbox": [ + [ + -0.19366569817066193, + -0.6880007386207581, + 0.13732461631298065, + 0.4665505588054657, + 0.5133485794067383, + 0.33691349625587463 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "cabinet", + "object_bbox": [ + [ + -1.296400099992752, + -0.7890549898147583, + 1.041701212292537, + 0.7038804888725281, + 2.1646716594696045, + 2.0968663399107754 + ] + ] + } + ], + "target_object_id": 28, + "target_object_name": "backpack" + } + }, + { + "id": 3763, + "video": "scannet/scene0552_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nRefrigerator beside the micro oven", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 12 + ], + "object_name": "refrigerator", + "object_bbox": [ + [ + 1.5082545280456543, + 0.3061893433332443, + 0.8660046271979809, + 0.2179105281829834, + 0.9875296652317047, + 1.6622730866074562 + ] + ] + }, + { + "object_id": [ + 19 + ], + "object_name": "microwave", + "object_bbox": [ + [ + 2.0400599241256714, + -0.3925723135471344, + 1.058558464050293, + 0.42701172828674316, + 0.5742562413215637, + 0.3232297897338867 + ] + ] + } + ], + "target_object_id": 12, + "target_object_name": "refrigerator" + } + }, + { + "id": 3764, + "video": "scannet/scene0518_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag is hanged on the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 16 + ], + "object_name": "backpack", + "object_bbox": [ + [ + -0.47998151183128357, + -0.8904497027397156, + 0.7512979209423065, + 0.49472516775131226, + 0.3897794485092163, + 0.4666852355003357 + ] + ] + }, + { + "object_id": [ + 2 + ], + "object_name": "office chair", + "object_bbox": [ + [ + -0.5368931293487549, + -1.0742298066616058, + 0.45759910158813, + 0.6357964277267456, + 0.7175517678260803, + 0.9538083113729954 + ] + ] + } + ], + "target_object_id": 16, + "target_object_name": "backpack" + } + }, + { + "id": 3765, + "video": "scannet/scene0593_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag on the sofa", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 26 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 0.34706123918294907, + -2.2198201417922974, + 0.5852393954992294, + 0.4824778586626053, + 0.4794576168060303, + 0.31795039772987366 + ] + ] + }, + { + "object_id": [ + 24 + ], + "object_name": "couch", + "object_bbox": [ + [ + -0.011799812316894531, + -2.194964051246643, + 0.33039270900189877, + 1.8510372638702393, + 0.8182098865509033, + 0.7772509045898914 + ] + ] + } + ], + "target_object_id": 26, + "target_object_name": "backpack" + } + }, + { + "id": 3766, + "video": "scannet/scene0139_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nHand dryer is next to the soap 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"question_type": "locate3d", + "object": [ + { + "object_id": [ + 29 + ], + "object_name": "plant", + "object_bbox": [ + [ + 1.2676398158073425, + -2.344131350517273, + 0.7088750302791595, + 0.4971195459365845, + 0.55464768409729, + 0.6618199944496155 + ] + ] + }, + { + "object_id": [ + 32 + ], + "object_name": "picture", + "object_bbox": [ + [ + 0.8436497449874878, + -2.578199625015259, + 1.1264261901378632, + 0.3469879627227783, + 0.05170297622680664, + 0.6757665276527405 + ] + ] + } + ], + "target_object_id": 29, + "target_object_name": "plant" + } + }, + { + "id": 3771, + "video": "scannet/scene0086_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nHandwash dispenser next to the dustbin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ 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"object_name": "desk", + "object_bbox": [ + [ + -0.043491750955581665, + 1.2453854978084564, + 0.3390492908656597, + 0.8523068428039551, + 1.5697839856147766, + 0.804930068552494 + ] + ] + }, + { + "object_id": [ + 24 + ], + "object_name": "clock", + "object_bbox": [ + [ + 0.1560792624950409, + 1.8492791652679443, + 2.2696316242218018, + 0.37143272161483765, + 0.09962916374206543, + 0.3684968948364258 + ] + ] + } + ], + "target_object_id": 16, + "target_object_name": "desk" + } + }, + { + "id": 3773, + "video": "scannet/scene0307_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndetergent box is on washing machine", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 3 + ], + "object_name": "laundry detergent", + "object_bbox": [ + [ + 3.4408693313598633, + -0.3129926323890686, + 0.9775795042514801, + 0.18291807174682617, + 0.31376564502716064, + 0.35337013006210327 + ] + ] + }, + { + "object_id": [ + 32 + ], + "object_name": "washing machine", + "object_bbox": [ + [ + 3.1771095991134644, + -0.44020557403564453, + 0.40051371790468693, + 0.693289041519165, + 0.6843570470809937, + 0.8707312159240246 + ] + ] + } + ], + "target_object_id": 3, + "target_object_name": "laundry" + } + }, + { + "id": 3774, + "video": "scannet/scene0355_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nplant near the round table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 10 + ], + "object_name": "plant", + "object_bbox": [ + [ + 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1.0080488920211792, + 0.3161909580230713, + 0.3958526849746704, + 0.5635621547698975 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "end table", + "object_bbox": [ + [ + 1.9018443822860718, + -0.834544837474823, + 0.3952902741730213, + 0.6700184345245361, + 0.6740580797195435, + 0.6954104527831078 + ] + ] + } + ], + "target_object_id": 20, + "target_object_name": "plant" + } + }, + { + "id": 3776, + "video": "scannet/scene0427_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndustbin beside the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 0 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.05322447419166565, + 1.6750948429107666, + 0.1756681588012725, + 0.46958786249160767, + 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"Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag is on the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 30 + ], + "object_name": "backpack", + "object_bbox": [ + [ + -0.14443126320838928, + 1.7835031747817993, + 0.8500003218650818, + 0.4699137806892395, + 0.31980419158935547, + 0.22847115993499756 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "table", + "object_bbox": [ + [ + -0.2952831983566284, + 1.4977021217346191, + 0.38346619717776775, + 1.1590620279312134, + 0.7046685218811035, + 0.7202579714357853 + ] + ] + } + ], + "target_object_id": 30, + "target_object_name": "backpack" + } + }, + { + "id": 3910, + "video": "scannet/scene0686_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nhand wash dispenser near to the wash basin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 13 + ], + "object_name": "soap dispenser", + "object_bbox": [ + [ + 0.3963709771633148, + 0.6613330841064453, + 1.1633868217468262, + 0.14201408624649048, + 0.17743778228759766, + 0.23026084899902344 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "sink", + "object_bbox": [ + [ + 0.8074822723865509, + 0.7227092236280441, + 0.6456558704376221, + 0.5664677023887634, + 0.47063151001930237, + 0.5374994277954102 + ] + ] + } + ], + "target_object_id": 13, + "target_object_name": "soap" + } + }, + { + "id": 3911, + "video": "scannet/scene0427_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndustbin is beside the door ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 0 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.05322447419166565, + 1.6750948429107666, + 0.1756681588012725, + 0.46958786249160767, + 0.2599296569824219, + 0.3592525548301637 + ] + ] + }, + { + "object_id": [ + 8 + ], + "object_name": "door", + "object_bbox": [ + [ + 0.7173956856131554, + 1.7027351260185242, + 0.6243289683479816, + 1.1606828719377518, + 0.10222446918487549, + 1.2441070131026208 + ] + ] + } + ], + "target_object_id": 0, + "target_object_name": "trash" + } + }, + { + "id": 3912, + "video": "scannet/scene0702_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndustbin beside toilet", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 0 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 0.6958816051483154, + 0.8896632492542267, + 0.16588637605309486, + 0.18589413166046143, + 0.3063506484031677, + 0.2692154571413994 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.280439592897892, + 0.6772171258926392, + 0.4009936470538378, + 0.5210473984479904, + 0.7163729667663574, + 0.8220282755792141 + ] + ] + } + ], + "target_object_id": 0, + "target_object_name": "trash" + } + }, + { + "id": 3913, + "video": "scannet/scene0693_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nToilet next to the washbasin", + 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0.8411796540021896, + 0.38580062985420227, + 0.5807716473937035 + ] + ] + } + ], + "target_object_id": 9, + "target_object_name": "picture" + } + }, + { + "id": 3927, + "video": "scannet/scene0355_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nplant beside the round tabel", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 10 + ], + "object_name": "plant", + "object_bbox": [ + [ + 2.40188992023468, + 0.3504095380194485, + 0.8303570933640003, + 0.723529577255249, + 0.6734746089205146, + 1.760946236550808 + ] + ] + }, + { + "object_id": [ + 16 + ], + "object_name": "table", + "object_bbox": [ + [ + 1.2575067579746246, + 0.05951887369155884, + 0.32362785562872887, + 1.1938344836235046, + 1.2115546464920044, + 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"metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "night lamp", + "object_bbox": [ + [ + -1.3645282983779907, + 1.209696739912033, + 0.9070149660110474, + 0.5079872608184814, + 0.5082953572273254, + 0.8317060470581055 + ] + ] + }, + { + "object_id": [ + 0 + ], + "object_name": "nightstand", + "object_bbox": [ + [ + -1.3478500843048096, + 1.3889323472976685, + 0.2755283990409225, + 0.5650017261505127, + 0.502147912979126, + 0.5556121510453522 + ] + ] + } + ], + "target_object_id": 11, + "target_object_name": "night" + } + }, + { + "id": 4036, + "video": "scannet/scene0221_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nradiator right ot the bed", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", 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"conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nround table is next to sofa chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 7 + ], + "object_name": "table", + "object_bbox": [ + [ + -1.37653386592865, + 1.5815006494522095, + 0.3310860343044624, + 0.6817660331726074, + 0.5499184131622314, + 0.6588636741507798 + ] + ] + }, + { + "object_id": [ + 2 + ], + "object_name": "armchair", + "object_bbox": [ + [ + -0.39706721901893616, + 1.5809202194213867, + 0.376064450800186, + 0.8930565714836121, + 0.818690299987793, + 0.7535777662997134 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "table" + } + }, + { + "id": 4041, + "video": "scannet/scene0574_00", + "conversations": [ + { + "value": "Locate all the 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and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbed is beside the cupboard ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 1 + ], + "object_name": "wall", + "object_bbox": [ + [ + -0.5856236815452576, + 1.160974770784378, + 1.0209317260887474, + 0.3475154638290405, + 0.6955806612968445, + 2.0546007049269974 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "bed", + "object_bbox": [ + [ + -0.9544006586074829, + -0.6183023452758789, + 0.46906406397465616, + 2.1950972080230713, + 1.0628914833068848, + 0.9448110915254802 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "bed" + } + }, + { + "id": 4099, + "video": "scannet/scene0427_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nRound Table opposite to the white board", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 9 + ], + "object_name": "table", + "object_bbox": [ + [ + -0.7175676822662354, + 0.17241108417510986, + 0.6770845353603363, + 1.006845235824585, + 1.0550884008407593, + 0.12841659784317017 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "whiteboard", + "object_bbox": [ + [ + 1.2593701481819153, + 0.05546987056732178, + 1.0686776340007782, + 0.13043534755706787, + 2.6569440364837646, + 0.48789411783218384 + ] + ] + } + ], + "target_object_id": 9, + "target_object_name": "table" + } + }, + { + "id": 4100, + "video": "scannet/scene0549_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nplant on the round table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 20 + ], + "object_name": "plant", + "object_bbox": [ + [ + 1.9233769178390503, + -0.8429989218711853, + 1.0080488920211792, + 0.3161909580230713, + 0.3958526849746704, + 0.5635621547698975 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "end table", + "object_bbox": [ + [ + 1.9018443822860718, + -0.834544837474823, + 0.3952902741730213, + 0.6700184345245361, + 0.6740580797195435, + 0.6954104527831078 + ] + ] + } + ], + "target_object_id": 20, + "target_object_name": "plant" + } + }, + { + "id": 4101, + "video": "scannet/scene0316_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nsingle seater sofa next to the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 2 + ], + "object_name": "armchair", + "object_bbox": [ + [ + -0.39706721901893616, + 1.5809202194213867, + 0.376064450800186, + 0.8930565714836121, + 0.818690299987793, + 0.7535777662997134 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "table", + "object_bbox": [ + [ + -1.37653386592865, + 1.5815006494522095, + 0.3310860343044624, + 0.6817660331726074, + 0.5499184131622314, + 0.6588636741507798 + ] + ] + } + ], + "target_object_id": 2, + "target_object_name": "armchair" + } + }, + { + "id": 4102, + "video": "scannet/scene0441_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntoilet seat beside the tissue dispenser", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "toilet", + "object_bbox": [ + [ + -0.5611693561077118, + 1.9642786383628845, + 0.2654105192050338, + 0.675210177898407, + 0.36762773990631104, + 0.4979315269738436 + ] + ] + }, + { + "object_id": [ + 15 + ], + "object_name": "trash bin", + "object_bbox": [ + [ + 0.017458850517868996, + 2.395184636116028, + 0.5793497115373611, + 0.13785676285624504, + 0.16056227684020996, + 0.19433698058128357 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "toilet" + } + }, + { + "id": 4103, + "video": "scannet/scene0663_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwhite board is near to the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 15 + ], + "object_name": "whiteboard", + "object_bbox": [ + [ + -1.3885602951049805, + 0.09095650911331177, + 1.4491046369075775, + 0.07955598831176758, + 1.1862953901290894, + 1.0341489911079407 + ] + ] + }, + { + "object_id": [ + 1 + ], + "object_name": "door", + "object_bbox": [ + [ + -0.6481179594993591, + 2.350396513938904, + 1.0528534911572933, + 1.1641942262649536, + 0.21597981452941895, + 1.962376780807972 + ] + ] + } + ], + "target_object_id": 15, + "target_object_name": "whiteboard" + } + }, + { + "id": 4104, + "video": "scannet/scene0316_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwater bottle filling station is next to the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 15 + ], + "object_name": "water fountain", + "object_bbox": [ + [ + 1.1920708119869232, + -0.5734443068504333, + 0.7892058938741684, + 0.5185671448707581, + 0.5220556259155273, + 1.0556757748126984 + ] + ] + }, + { + "object_id": [ + 5 + ], + "object_name": "chair", + "object_bbox": [ + [ + 1.0707965791225433, + -1.2363077104091644, + 0.5654897838830948, + 0.6073608994483948, + 0.569644033908844, + 0.40789148211479187 + ] + ] + } + ], + "target_object_id": 15, + "target_object_name": "water" + } + }, + { + "id": 4105, + "video": "scannet/scene0378_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag is on the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 19 + ], + "object_name": "jacket", + "object_bbox": [ + [ + -1.2236886024475098, + 0.37662460654973984, + 0.5197543352842331, + 0.34021925926208496, + 0.36883266270160675, + 0.159547358751297 + ] + ] + }, + { + "object_id": [ + 43 + ], + "object_name": "chair", + "object_bbox": [ + [ + -1.2719817459583282, + 0.37635887786746025, + 0.39003825560212135, + 0.5756990313529968, + 0.5108897462487221, + 0.8184395954012871 + ] + ] + } + ], + "target_object_id": 19, + "target_object_name": "jacket" + } + }, + { + "id": 4106, + "video": "scannet/scene0435_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nTV beside the photo frame", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 62 + ], + "object_name": "tv", + "object_bbox": [ + [ + -1.6360046863555908, + -0.07932806015014648, + 1.199475735425949, + 0.1746807098388672, + 0.7823479175567627, + 0.5821462273597717 + ] + ] + }, + { + "object_id": [ + 57 + ], + "object_name": "picture", + "object_bbox": [ + [ + -1.8552542328834534, + 1.1673765182495117, + 1.4976034760475159, + 0.08769309520721436, + 0.7161102294921875, + 0.9365063905715942 + ] + ] + } + ], + "target_object_id": 62, + "target_object_name": "tv" + } + }, + { + "id": 4107, + "video": "scannet/scene0050_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nPiano in front of the table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 1 + ], + "object_name": "piano", + "object_bbox": [ + [ + 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0.8206458985805511, + 0.45036718249320984, + 0.5369222164154053, + 0.389578640460968 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "whiteboard", + "object_bbox": [ + [ + -0.10632449388504028, + 2.944137454032898, + 1.2811736762523651, + 0.9916298389434814, + 0.1711595058441162, + 1.479075014591217 + ] + ] + } + ], + "target_object_id": 11, + "target_object_name": "box" + } + }, + { + "id": 4109, + "video": "scannet/scene0357_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nChest of drawers is in front of cupboard", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 13, + 15 + ], + "object_name": "cabinet", + "object_bbox": [ + [ + -1.296400099992752, + -0.7890549898147583, + 1.041701212292537, + 0.7038804888725281, + 2.1646716594696045, + 2.0968663399107754 + ], + [ + -0.19696307182312012, + -1.6164039373397827, + 0.288815638050437, + 0.6014626622200012, + 0.31099486351013184, + 0.6326925344765186 + ] + ] + } + ], + "target_object_id": 15, + "target_object_name": "cabinet" + } + }, + { + "id": 4110, + "video": "scannet/scene0633_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nClock is near to the wardrobe", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 13 + ], + "object_name": "clock", + "object_bbox": [ + [ + 1.3030589818954468, + -0.5868198424577713, + 1.8094860911369324, + 0.07345461845397949, + 0.2450636327266693, + 0.2510570287704468 + ] + ] + }, + { + "object_id": [ + 14 + ], + "object_name": "wardrobe closet", + "object_bbox": [ + [ + 1.017185389995575, + -1.1748833060264587, + 0.8212032290175557, + 0.5775512456893921, + 0.8442152738571167, + 1.676944738253951 + ] + ] + } + ], + "target_object_id": 13, + "target_object_name": "clock" + } + }, + { + "id": 4111, + "video": "scannet/scene0684_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nthe telephone is in front of the office chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 15 + ], + "object_name": "telephone", + "object_bbox": [ + [ + 0.5341071933507919, + 1.245411455631256, + 0.8255934119224548, + 0.14230039715766907, + 0.2677501440048218, + 0.1891183853149414 + ] + ] + }, + { + "object_id": [ + 4 + ], + "object_name": "chair", + "object_bbox": [ + [ + -0.2683243155479431, + 0.8163810074329376, + 0.43494963296689093, + 0.6631585359573364, + 0.48591703176498413, + 0.8776518176309764 + ] + ] + } + ], + "target_object_id": 15, + "target_object_name": "telephone" + } + }, + { + "id": 4112, + "video": "scannet/scene0697_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntissue dispenser on cupboard", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 13 + ], + "object_name": "tissue box", + "object_bbox": [ + [ + 1.4093825221061707, + -1.7381754517555237, + 0.7271000444889069, + 0.13375484943389893, + 0.2930868864059448, + 0.27869194746017456 + ] + ] + }, + { + "object_id": [ + 6 + ], + "object_name": "nightstand", + "object_bbox": [ + [ + 1.2606374621391296, + -1.5056287050247192, + 0.3026236705482006, + 0.4693995714187622, + 0.6568088531494141, + 0.7064400091767311 + ] + ] + } + ], + "target_object_id": 13, + "target_object_name": "tissue" + } + }, + { + "id": 4113, + "video": "scannet/scene0203_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\npaper bag is close to the sofa", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 23 + ], + "object_name": "bag", + "object_bbox": [ + [ + -0.8429364264011383, + 0.2359986323863268, + 0.15229156985878944, + 0.38464754819869995, + 0.36648738011717796, + 0.4844742938876152 + ] + ] + }, + { + "object_id": [ + 2 + ], + "object_name": "couch", + "object_bbox": [ + [ + -1.348899483680725, + -0.875485897064209, + 0.34565751254558563, + 1.00486159324646, + 2.1481714248657227, + 0.8287352621555328 + ] + ] + } + ], + "target_object_id": 23, + "target_object_name": "bag" + } + }, + { + "id": 4114, + "video": "scannet/scene0591_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndust bin next to door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 13 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.7301892936229706, + 1.7300254106521606, + 0.14565819804556668, + 0.3131464123725891, + 0.4118621349334717, + 0.3013866483233869 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "door", + "object_bbox": [ + [ + 0.2656630873680115, + 2.2868484258651733, + 1.0412721722386777, + 1.1112719774246216, + 0.17009520530700684, + 2.1021623434498906 + ] + ] + } + ], + "target_object_id": 13, + "target_object_name": "trash" + } + }, + { + "id": 4115, + "video": "scannet/scene0658_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nLamp is in front of the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 12 + ], + "object_name": "lamp", + "object_bbox": [ + [ + 1.315385341644287, + -1.8321686387062073, + 1.1965340971946716, + 0.3371107578277588, + 0.4621652364730835, + 0.24258840084075928 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "chair", + "object_bbox": [ + [ + 0.8098959028720856, + -1.2453522086143494, + 0.5003786894958466, + 0.609745442867279, + 0.8368734121322632, + 1.0110293203033507 + ] + ] + } + ], + "target_object_id": 12, + "target_object_name": "lamp" + } + }, + { + "id": 4116, + "video": "scannet/scene0580_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag is kept on the chair ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 16 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 0.7441395819187164, + 1.4123693108558655, + 0.8297772407531738, + 0.38699501752853394, + 0.31686389446258545, + 0.45725131034851074 + ] + ] + }, + { + "object_id": [ + 4 + ], + "object_name": "chair", + "object_bbox": [ + [ + 0.7324062287807465, + 1.3782591819763184, + 0.6761839650571346, + 0.47126322984695435, + 0.566948413848877, + 1.1735379174351692 + ] + ] + } + ], + "target_object_id": 16, + "target_object_name": "backpack" + } + }, + { + "id": 4117, + "video": "scannet/scene0607_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\npaper dispenser beside the hand wash dispenser ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 20 + ], + "object_name": "paper towel dispenser", + "object_bbox": [ + [ + 1.8381075263023376, + -0.13203269243240356, + 1.2732858657836914, + 0.12707555294036865, + 0.3491106629371643, + 0.4233875274658203 + ] + ] + }, + { + "object_id": [ + 21 + ], + "object_name": "soap dispenser", + "object_bbox": [ + [ + 1.839016616344452, + -0.8371319472789764, + 1.280393123626709, + 0.10587179660797119, + 0.20149439573287964, + 0.31033992767333984 + ] + ] + } + ], + "target_object_id": 20, + "target_object_name": "paper" + } + }, + { + "id": 4118, + "video": "scannet/scene0658_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nThe lamp near the chair", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 12 + ], + "object_name": "lamp", + "object_bbox": [ + [ + 1.315385341644287, + -1.8321686387062073, + 1.1965340971946716, + 0.3371107578277588, + 0.4621652364730835, + 0.24258840084075928 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "chair", + "object_bbox": [ + [ + 0.8098959028720856, + -1.2453522086143494, + 0.5003786894958466, + 0.609745442867279, + 0.8368734121322632, + 1.0110293203033507 + ] + ] + } + ], + "target_object_id": 12, + "target_object_name": "lamp" + } + }, + { + "id": 4119, + 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3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nsoap dispenser next to washbasin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 15 + ], + "object_name": "soap dispenser", + "object_bbox": [ + [ + -0.7174202501773834, + -0.5207745283842087, + 1.1411556005477905, + 0.12151020765304565, + 0.10464897751808167, + 0.22372937202453613 + ] + ] + }, + { + "object_id": [ + 3 + ], + "object_name": "sink", + "object_bbox": [ + [ + -0.7171559780836105, + -0.11877954006195068, + 0.6348879039287567, + 0.47565701603889465, + 0.5457794070243835, + 0.5875019431114197 + ] + ] + } + ], + "target_object_id": 15, + "target_object_name": "soap" + } + }, + { + "id": 4134, + "video": "scannet/scene0019_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nvending machine next to lamp", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 9 + ], + "object_name": "vending machine", + "object_bbox": [ + [ + -0.6188904643058777, + -1.6772868633270264, + 0.9733041226863861, + 1.0480221509933472, + 0.7862510681152344, + 1.6961629986763 + ] + ] + }, + { + "object_id": [ + 11 + ], + "object_name": "lamp", + "object_bbox": [ + [ + -1.4972421526908875, + -1.573621928691864, + 0.8461052551865578, + 0.3748570680618286, + 0.4491335153579712, + 1.6244589537382126 + ] + ] + } + ], + "target_object_id": 9, + "target_object_name": "vending" + } + }, + { + "id": 4135, + "video": "scannet/scene0702_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntelephone beside the 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"conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbath towel is on the toilet flush tank", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 20 + ], + "object_name": "towel", + "object_bbox": [ + [ + 0.7716871500015259, + 0.1916306260973215, + 0.8077468872070312, + 0.2206345796585083, + 0.2788848392665386, + 0.1181257963180542 + ] + ] + }, + { + "object_id": [ + 3 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.472196351736784, + 0.19066043011844158, + 0.3740422362461686, + 0.7439732328057289, + 0.4476778842508793, + 0.7911079656332731 + ] + ] + } + ], + "target_object_id": 20, + "target_object_name": "towel" + } + }, + { + "id": 4190, + "video": "scannet/scene0494_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nDustbin next to the door ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 12 + ], + "object_name": "trash can", + "object_bbox": [ + [ + 0.5487366914749146, + -0.8304758667945862, + 0.162585630081594, + 0.40584349632263184, + 0.34393322467803955, + 0.35104903765022755 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "door", + "object_bbox": [ + [ + -0.4287896752357483, + -1.1311833262443542, + 0.7749105896800756, + 1.134489893913269, + 0.2321985960006714, + 1.5591396875679493 + ] + ] + } + ], + "target_object_id": 12, + "target_object_name": "trash" + } + }, + { + "id": 4191, + "video": "scannet/scene0203_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ncarry bag on the shelves rack", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 21 + ], + "object_name": "bag", + "object_bbox": [ + [ + -1.5496947765350342, + 0.35844435542821884, + 0.6677464246749878, + 0.4643564224243164, + 0.4854748994112015, + 0.15484607219696045 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "shelf", + "object_bbox": [ + [ + -1.2498122155666351, + 0.3104064539074898, + 0.3261251822113991, + 0.8358038067817688, + 0.47217021882534027, + 0.8154491633176804 + ] + ] + } + ], + "target_object_id": 21, + "target_object_name": "bag" + } + }, + { + "id": 4192, + "video": "scannet/scene0357_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nTable opposite to the Wardrobe ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "table", + "object_bbox": [ + [ + 0.03717753291130066, + 0.6426944136619568, + 0.3038691356778145, + 0.7334340810775757, + 0.7686144113540649, + 0.6728367656469345 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "cabinet", + "object_bbox": [ + [ + -1.296400099992752, + -0.7890549898147583, + 1.041701212292537, + 0.7038804888725281, + 2.1646716594696045, + 2.0968663399107754 + ] + ] + } + ], + "target_object_id": 11, + "target_object_name": "table" + } + }, + { + "id": 4193, + "video": "scannet/scene0553_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nhandwash 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0.9880690490826964, + 0.07467973232269287, + 0.5976625680923462, + 1.9469325710088015 + ] + ] + } + ], + "target_object_id": 9, + "target_object_name": "door" + } + }, + { + "id": 4243, + "video": "scannet/scene0149_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nmicrowave oven beside refrigerator", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 13 + ], + "object_name": "microwave", + "object_bbox": [ + [ + -1.5874403715133667, + -0.016225963830947876, + 1.5500420331954956, + 0.1459484100341797, + 0.8008409738540649, + 0.4470984935760498 + ] + ] + }, + { + "object_id": [ + 1 + ], + "object_name": "refrigerator", + "object_bbox": [ + [ + -1.4164393246173859, + -1.028797060251236, + 0.7888616137206554, + 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"conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nthe dustbin is next to the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 13 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.7301892936229706, + 1.7300254106521606, + 0.14565819804556668, + 0.3131464123725891, + 0.4118621349334717, + 0.3013866483233869 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "door", + "object_bbox": [ + [ + 0.2656630873680115, + 2.2868484258651733, + 1.0412721722386777, + 1.1112719774246216, + 0.17009520530700684, + 2.1021623434498906 + ] + ] + } + ], + "target_object_id": 13, + "target_object_name": "trash" + } + }, + { + "id": 4250, + "video": "scannet/scene0685_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nfire extinguisher is close to the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 19 + ], + "object_name": "object", + "object_bbox": [ + [ + 0.6712610572576523, + 1.9774841666221619, + 2.1622217893600464, + 0.3836055099964142, + 0.45805180072784424, + 1.053389310836792 + ] + ] + }, + { + "object_id": [ + 2 + ], + "object_name": "door", + "object_bbox": [ + [ + -0.042928099632263184, + 2.4712960720062256, + 1.2334462199360132, + 1.1095294952392578, + 0.07116508483886719, + 2.4596727304160595 + ] + ] + } + ], + "target_object_id": 19, + "target_object_name": "object" + } + }, + { + "id": 4251, + "video": "scannet/scene0700_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nstorage shelf beside the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 7 + ], + "object_name": "bookshelf", + "object_bbox": [ + [ + -0.7902755737304688, + 2.047049582004547, + 1.3522209827788174, + 0.6883456707000732, + 1.4002898931503296, + 2.6797047248110175 + ] + ] + }, + { + "object_id": [ + 9 + ], + "object_name": "door", + "object_bbox": [ + [ + 0.2996305525302887, + 2.702035069465637, + 0.7568524782545865, + 1.5292674899101257, + 0.1384422779083252, + 1.5313172927126288 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "bookshelf" + } + }, + { + "id": 4252, + "video": "scannet/scene0593_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nbag on the sofa", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 26 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 0.34706123918294907, + -2.2198201417922974, + 0.5852393954992294, + 0.4824778586626053, + 0.4794576168060303, + 0.31795039772987366 + ] + ] + }, + { + "object_id": [ + 24 + ], + "object_name": "couch", + "object_bbox": [ + [ + -0.011799812316894531, + -2.194964051246643, + 0.33039270900189877, + 1.8510372638702393, + 0.8182098865509033, + 0.7772509045898914 + ] + ] + } + ], + "target_object_id": 26, + "target_object_name": "backpack" + } + }, + { + "id": 4253, + "video": "scannet/scene0378_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nprinter beside the desktop", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 34 + ], + "object_name": "printer", + "object_bbox": [ + [ + 1.0751732289791107, + -1.6522897481918335, + 0.780078649520874, + 0.5926738381385803, + 0.5292155742645264, + 0.3175870180130005 + ] + ] + }, + { + "object_id": [ + 4 + ], + "object_name": "monitor", + "object_bbox": [ + [ + 1.246826708316803, + -0.6248819231987, + 1.0971610248088837, + 0.2534140348434448, + 0.628136396408081, + 0.4335182309150696 + ] + ] + } + ], + "target_object_id": 34, + "target_object_name": "printer" + } + }, + { + "id": 4254, + "video": "scannet/scene0427_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntrash bin next to door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "door", + "object_bbox": [ + [ + 0.7173956856131554, + 1.7027351260185242, + 0.6243289683479816, + 1.1606828719377518, + 0.10222446918487549, + 1.2441070131026208 + ] + ] + }, + { + "object_id": [ + 0 + ], + "object_name": "trash can", + "object_bbox": [ + [ + -0.05322447419166565, + 1.6750948429107666, + 0.1756681588012725, + 0.46958786249160767, + 0.2599296569824219, + 0.3592525548301637 + ] + ] + } + ], + "target_object_id": 0, + "target_object_name": "trash" + } + }, + { + "id": 4255, + "video": "scannet/scene0221_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\niron table is next to iron box", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "ironing board", + "object_bbox": [ + [ + 1.3870700001716614, + -2.7236533164978027, + 1.0909848511219025, + 0.41612255573272705, + 0.14127063751220703, + 1.3082203269004822 + ] + ] + }, + { + "object_id": [ + 33 + ], + "object_name": "iron", + "object_bbox": [ + [ + 1.1196430325508118, + -2.7139527797698975, + 1.5709797143936157, + 0.11140835285186768, + 0.14650201797485352, + 0.24678778648376465 + ] + ] + } + ], + "target_object_id": 11, + "target_object_name": "ironing" + } + }, + { + "id": 4256, + "video": "scannet/scene0329_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nfire extinguisher behind couch", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": 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"object": [ + { + "object_id": [ + 8 + ], + "object_name": "table", + "object_bbox": [ + [ + 1.6885866522789001, + 0.7466109693050385, + 0.4226117036305368, + 1.1140257120132446, + 1.2670767903327942, + 0.8285052971914411 + ] + ] + }, + { + "object_id": [ + 4 + ], + "object_name": "backpack", + "object_bbox": [ + [ + 1.2174910306930542, + 0.15988733619451523, + 0.19449466979131103, + 0.42379188537597656, + 0.46397824585437775, + 0.41581707168370485 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "table" + } + }, + { + "id": 4258, + "video": "scannet/scene0222_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nFan is closest to the radiator", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 9 + ], + "object_name": "fan", + "object_bbox": [ + [ + -1.2733145952224731, + -0.25233888626098633, + 0.955166757106781, + 0.5771651268005371, + 0.2587900757789612, + 0.5789312124252319 + ] + ] + }, + { + "object_id": [ + 30 + ], + "object_name": "radiator", + "object_bbox": [ + [ + -1.5258176922798157, + 0.2546335458755493, + 0.4045134633779526, + 0.17042267322540283, + 2.6650681495666504, + 0.611169844865799 + ] + ] + } + ], + "target_object_id": 30, + "target_object_name": "radiator" + } + }, + { + "id": 4259, + "video": "scannet/scene0139_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nTissue dispenser is above the wash basin", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 18 + ], + "object_name": "paper towel dispenser", + "object_bbox": [ + [ + -0.8516519367694855, + -1.5344592332839966, + 1.4144853949546814, + 0.3674158453941345, + 0.24748516082763672, + 0.3510383367538452 + ] + ] + }, + { + "object_id": [ + 24 + ], + "object_name": "sink", + "object_bbox": [ + [ + -0.8764928579330444, + -1.4140658974647522, + 0.7469916343688965, + 0.5930924415588379, + 0.6025339365005493, + 0.45550858974456787 + ] + ] + } + ], + "target_object_id": 18, + "target_object_name": "paper" + } + }, + { + "id": 4260, + "video": "scannet/scene0435_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ndust bin next to toilet seat", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 12 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 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-0.48770810663700104, + 0.48967407643795013, + 0.11052513122558594, + 0.16187140345573425, + 0.3342854082584381 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "toilet", + "object_bbox": [ + [ + -1.008348524570465, + -0.0004597604274749756, + 0.31100786849856377, + 0.7156263589859009, + 0.5161067247390747, + 0.64966831356287 + ] + ] + } + ], + "target_object_id": 14, + "target_object_name": "toilet" + } + }, + { + "id": 4262, + "video": "scannet/scene0696_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nblanket on the mattress ", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 7 + ], + "object_name": "object", + "object_bbox": [ + [ + -0.9678513705730438, + 1.2725363969802856, + 0.7705787420272827, + 0.7589004635810852, + 0.3602750301361084, + 0.4036484956741333 + ] + ] + }, + { + "object_id": [ + 24 + ], + "object_name": "mattress", + "object_bbox": [ + [ + -0.8372312784194946, + 1.2292246520519257, + 0.4296528995037079, + 2.088101863861084, + 0.482483446598053, + 0.9845017790794373 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "object" + } + }, + { + "id": 4263, + "video": "scannet/scene0086_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntoilet is below seat cover", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 5 + ], + "object_name": "toilet seat cover dispenser", + "object_bbox": [ + [ + -0.9548101425170898, + -2.243796467781067, + 1.1655134558677673, + 0.0935051441192627, + 0.5050642490386963, + 0.3754500150680542 + ] + ] + }, + { + "object_id": [ + 6 + ], + "object_name": "toilet", + "object_bbox": [ + [ + -0.6204202175140381, + -2.2830429077148438, + 0.4193963147699833, + 0.657595157623291, + 0.4709172248840332, + 0.813655786216259 + ] + ] + } + ], + "target_object_id": 6, + "target_object_name": "toilet" + } + }, + { + "id": 4264, + "video": "scannet/scene0351_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwhite board opposite to flower pot", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 16 + ], + "object_name": "whiteboard", + "object_bbox": [ + [ + 1.7559832334518433, + -1.198506474494934, + 1.1400794237852097, + 0.13820910453796387, + 2.147170305252075, + 1.5271684229373932 + ] + ] + }, + { + "object_id": [ + 19 + ], + "object_name": "plant", + "object_bbox": [ + [ + -0.0010411590337753296, + -1.206513226032257, + 0.9650283008813858, + 0.4256722927093506, + 0.539627194404602, + 0.9551601111888885 + ] + ] + } + ], + "target_object_id": 16, + "target_object_name": "whiteboard" + } + }, + { + "id": 4265, + "video": "scannet/scene0580_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nLamp is beside the bed", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 11 + ], + "object_name": "night lamp", + "object_bbox": [ + [ + -1.3645282983779907, + 1.209696739912033, + 0.9070149660110474, + 0.5079872608184814, + 0.5082953572273254, + 0.8317060470581055 + ] + ] + }, + { + "object_id": [ + 7 + ], + 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3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntable lamp is on round table", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 8 + ], + "object_name": "object", + "object_bbox": [ + [ + -1.356468379497528, + 1.6424403190612793, + 0.7908769845962524, + 0.23160779476165771, + 0.23783493041992188, + 0.3086071014404297 + ] + ] + }, + { + "object_id": [ + 7 + ], + "object_name": "table", + "object_bbox": [ + [ + -1.37653386592865, + 1.5815006494522095, + 0.3310860343044624, + 0.6817660331726074, + 0.5499184131622314, + 0.6588636741507798 + ] + ] + } + ], + "target_object_id": 8, + "target_object_name": "object" + } + }, + { + "id": 4321, + "video": "scannet/scene0146_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, 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"dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 27 + ], + "object_name": "sign", + "object_bbox": [ + [ + 1.0257786512374878, + -0.4420508146286011, + 1.32906174659729, + 0.06882524490356445, + 0.23569250106811523, + 0.31041717529296875 + ] + ] + }, + { + "object_id": [ + 8 + ], + "object_name": "sink", + "object_bbox": [ + [ + 0.8514385521411896, + -0.60386061668396, + 0.9355805516242981, + 0.55636066198349, + 0.7892446517944336, + 0.6513634920120239 + ] + ] + } + ], + "target_object_id": 27, + "target_object_name": "sign" + } + }, + { + "id": 4393, + "video": "scannet/scene0527_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\nwashbasin is close to the door", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": 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z1, x2, y2, z2).\ntoilet beside tissue roll", + "from": "human" + }, + { + "value": "", + "from": "gpt" + } + ], + "metadata": { + "dataset": "locate3d_scannet", + "question_type": "locate3d", + "object": [ + { + "object_id": [ + 7 + ], + "object_name": "toilet", + "object_bbox": [ + [ + 0.020989656448364258, + 0.6031801551580429, + 0.33785976376384497, + 0.5085801482200623, + 0.7313168346881866, + 0.6979841906577349 + ] + ] + }, + { + "object_id": [ + 13 + ], + "object_name": "toilet paper", + "object_bbox": [ + [ + -0.35171404480934143, + 0.5562788993120193, + 0.4408848434686661, + 0.1086350679397583, + 0.20200178027153015, + 0.11170318722724915 + ] + ] + } + ], + "target_object_id": 7, + "target_object_name": "toilet" + } + }, + { + "id": 4395, + "video": "scannet/scene0574_00", + "conversations": [ + { + "value": "Locate all the objects mentioned in following description and output the object name and 3D bounding box in the format (x1, y1, z1, x2, y2, z2).\ntrash bin below the wash 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