SketchVLM
Collection
Datasets for SketchVLM: Vision-Language Models Can Annotate Images to Explain Thoughts and Guide Users
(https://sketchvlm.github.io/) • 4 items • Updated
image_id stringlengths 12 42 | example_type stringclasses 3
values | blank_image imagewidth (px) 270 1.8k | completed_image imagewidth (px) 270 1.8k | num_points int32 4 35 | points_json stringlengths 134 1.96k | metadata_json stringlengths 545 2.08k |
|---|---|---|---|---|---|---|
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outlines_AnimalSilhouettes2-Squirrel | outlines | 30 | [{"x": 0.057690701963791245, "y": 0.44510740351219796, "order": 1}, {"x": 0.16795993971713383, "y": 0.4518408383294222, "order": 2}, {"x": 0.10734812174102701, "y": 0.4971943056103923, "order": 3}, {"x": 0.10252387594783073, "y": 0.6070320974555841, "order": 4}, {"x": 0.1361046671604025, "y": 0.719043915146693, "order"... | {"name": "AnimalSilhouettes2-Squirrel", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.057690701963791245, "y": 0.44510740351219796, "order": 1}, {"x": 0.16795993971713383, "y": 0.4518408383294222, "order": 2}, {"x": 0.10734812174102701, "y": 0.4971943056103923, "order": 3}, {"x"... | ||
outlines_Beaver-icon | outlines | 30 | [{"x": 0.05312411873165294, "y": 0.34228090678517553, "order": 1}, {"x": 0.09074398844815001, "y": 0.268158877725136, "order": 2}, {"x": 0.1754591276405066, "y": 0.2746179673474535, "order": 3}, {"x": 0.2540343510082672, "y": 0.3160365381345666, "order": 4}, {"x": 0.33154004545452165, "y": 0.35966018577458003, "order":... | {"name": "Beaver-icon", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.05312411873165294, "y": 0.34228090678517553, "order": 1}, {"x": 0.09074398844815001, "y": 0.268158877725136, "order": 2}, {"x": 0.1754591276405066, "y": 0.2746179673474535, "order": 3}, {"x": 0.254034351008267... | ||
outlines_Birds-Silhouettes-Duck2 | outlines | 30 | [{"x": 0.0675163697269098, "y": 0.39715357057066786, "order": 1}, {"x": 0.08202478110975694, "y": 0.4376946442365178, "order": 2}, {"x": 0.16297688736692836, "y": 0.4460967339127104, "order": 3}, {"x": 0.23143479386009952, "y": 0.5011501990819243, "order": 4}, {"x": 0.30666473834112606, "y": 0.5465207969947992, "order"... | {"name": "Birds-Silhouettes-Duck2", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.0675163697269098, "y": 0.39715357057066786, "order": 1}, {"x": 0.08202478110975694, "y": 0.4376946442365178, "order": 2}, {"x": 0.16297688736692836, "y": 0.4460967339127104, "order": 3}, {"x": 0.23... | ||
outlines_Birds-Silhouettes-Owl | outlines | 30 | [{"x": 0.1348866125789768, "y": 0.16711964138247729, "order": 1}, {"x": 0.23965861244732006, "y": 0.18890395147735947, "order": 2}, {"x": 0.18817403243663555, "y": 0.2554956097676594, "order": 3}, {"x": 0.235218923333037, "y": 0.23599070413151657, "order": 4}, {"x": 0.3462855225837085, "y": 0.20600075497100664, "order"... | {"name": "Birds-Silhouettes-Owl", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.1348866125789768, "y": 0.16711964138247729, "order": 1}, {"x": 0.23965861244732006, "y": 0.18890395147735947, "order": 2}, {"x": 0.18817403243663555, "y": 0.2554956097676594, "order": 3}, {"x": 0.235... | ||
outlines_Brain-Silhouette-2 | outlines | 30 | [{"x": 0.05266287681187698, "y": 0.6109770072084872, "order": 1}, {"x": 0.07740230700301293, "y": 0.5274861327190725, "order": 2}, {"x": 0.13310776614863834, "y": 0.46021635965014684, "order": 3}, {"x": 0.212066476430333, "y": 0.4230892208155354, "order": 4}, {"x": 0.25846332572643005, "y": 0.35195122960606023, "order"... | {"name": "Brain-Silhouette-2", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.05266287681187698, "y": 0.6109770072084872, "order": 1}, {"x": 0.07740230700301293, "y": 0.5274861327190725, "order": 2}, {"x": 0.13310776614863834, "y": 0.46021635965014684, "order": 3}, {"x": 0.212066... | ||
outlines_Cat-Silhouette-2 | outlines | 30 | [{"x": 0.07041224760130274, "y": 0.776595387352201, "order": 1}, {"x": 0.10707307498614357, "y": 0.6696604676159936, "order": 2}, {"x": 0.14262270761566093, "y": 0.5622628219339589, "order": 3}, {"x": 0.18831887140720918, "y": 0.4557214642670709, "order": 4}, {"x": 0.20841989555173238, "y": 0.34428862891768897, "order"... | {"name": "Cat-Silhouette-2", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.07041224760130274, "y": 0.776595387352201, "order": 1}, {"x": 0.10707307498614357, "y": 0.6696604676159936, "order": 2}, {"x": 0.14262270761566093, "y": 0.5622628219339589, "order": 3}, {"x": 0.1883188714... | ||
outlines_Dog-Head-Silhouette | outlines | 30 | [{"x": 0.054461280220601815, "y": 0.3826843435723801, "order": 1}, {"x": 0.09599877070861693, "y": 0.2987721103019193, "order": 2}, {"x": 0.1839229891169525, "y": 0.27180115383851705, "order": 3}, {"x": 0.2771279315136111, "y": 0.2745413705387323, "order": 4}, {"x": 0.36860457608250363, "y": 0.2729351378389058, "order"... | {"name": "Dog-Head-Silhouette", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.054461280220601815, "y": 0.3826843435723801, "order": 1}, {"x": 0.09599877070861693, "y": 0.2987721103019193, "order": 2}, {"x": 0.1839229891169525, "y": 0.27180115383851705, "order": 3}, {"x": 0.27712... | ||
outlines_Fire-Silhouette | outlines | 30 | [{"x": 0.12938815422870492, "y": 0.4206259562729467, "order": 1}, {"x": 0.13399312735730926, "y": 0.30372553751633014, "order": 2}, {"x": 0.17879693382288359, "y": 0.196404417229906, "order": 3}, {"x": 0.263206941087937, "y": 0.1159483231597869, "order": 4}, {"x": 0.369333213956903, "y": 0.06715383974585909, "order": 5... | {"name": "Fire-Silhouette", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.12938815422870492, "y": 0.4206259562729467, "order": 1}, {"x": 0.13399312735730926, "y": 0.30372553751633014, "order": 2}, {"x": 0.17879693382288359, "y": 0.196404417229906, "order": 3}, {"x": 0.2632069410... | ||
outlines_Maltese-Cross-Silhouette | outlines | 30 | [{"x": 0.050000000000000024, "y": 0.6351371029938707, "order": 1}, {"x": 0.05000000000000014, "y": 0.48881857436986675, "order": 2}, {"x": 0.05000000000000026, "y": 0.3425000457458626, "order": 3}, {"x": 0.1893862316172228, "y": 0.38700335294034455, "order": 4}, {"x": 0.33235308137279307, "y": 0.41591755181144563, "ord... | {"name": "Maltese-Cross-Silhouette", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.050000000000000024, "y": 0.6351371029938707, "order": 1}, {"x": 0.05000000000000014, "y": 0.48881857436986675, "order": 2}, {"x": 0.05000000000000026, "y": 0.3425000457458626, "order": 3}, {"x": 0... | ||
outlines_Man-Head-Silhouette | outlines | 30 | [{"x": 0.10094710257461956, "y": 0.5087830176035162, "order": 1}, {"x": 0.1519139440423385, "y": 0.4462530153095888, "order": 2}, {"x": 0.15781948090672662, "y": 0.36260909175539036, "order": 3}, {"x": 0.16416161403174395, "y": 0.2764917728690995, "order": 4}, {"x": 0.17348064862746163, "y": 0.18542618683771708, "order... | {"name": "Man-Head-Silhouette", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.10094710257461956, "y": 0.5087830176035162, "order": 1}, {"x": 0.1519139440423385, "y": 0.4462530153095888, "order": 2}, {"x": 0.15781948090672662, "y": 0.36260909175539036, "order": 3}, {"x": 0.164161... | ||
outlines_Mustache-Silhouette-3 | outlines | 30 | [{"x": 0.0518762480538447, "y": 0.6926205218028041, "order": 1}, {"x": 0.07022797782340133, "y": 0.7870053649098626, "order": 2}, {"x": 0.07390146412988581, "y": 0.6906597617769431, "order": 3}, {"x": 0.10089684163212903, "y": 0.5983698319022048, "order": 4}, {"x": 0.1466171844377968, "y": 0.5143699508503756, "order": ... | {"name": "Mustache-Silhouette-3", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.0518762480538447, "y": 0.6926205218028041, "order": 1}, {"x": 0.07022797782340133, "y": 0.7870053649098626, "order": 2}, {"x": 0.07390146412988581, "y": 0.6906597617769431, "order": 3}, {"x": 0.10089... | ||
outlines_Old-Car-Silhouette | outlines | 30 | [{"x": 0.05507035961520616, "y": 0.4707411176952538, "order": 1}, {"x": 0.1105282112082953, "y": 0.4398652693115685, "order": 2}, {"x": 0.15900337982155963, "y": 0.3992923968377646, "order": 3}, {"x": 0.2255624073989289, "y": 0.41216384852862836, "order": 4}, {"x": 0.2692495261012062, "y": 0.4258798801165344, "order": ... | {"name": "Old-Car-Silhouette", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.05507035961520616, "y": 0.4707411176952538, "order": 1}, {"x": 0.1105282112082953, "y": 0.4398652693115685, "order": 2}, {"x": 0.15900337982155963, "y": 0.3992923968377646, "order": 3}, {"x": 0.22556240... | ||
outlines_Peileppe-crow-standing | outlines | 30 | [{"x": 0.16929057223049443, "y": 0.8512638966726997, "order": 1}, {"x": 0.2078618774591239, "y": 0.8944562863036181, "order": 2}, {"x": 0.30213822952045205, "y": 0.9387754952997611, "order": 3}, {"x": 0.4003282215788551, "y": 0.9281673174527951, "order": 4}, {"x": 0.47960672572474505, "y": 0.8591619585340914, "order": ... | {"name": "Peileppe-crow-standing", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.16929057223049443, "y": 0.8512638966726997, "order": 1}, {"x": 0.2078618774591239, "y": 0.8944562863036181, "order": 2}, {"x": 0.30213822952045205, "y": 0.9387754952997611, "order": 3}, {"x": 0.4003... | ||
outlines_Retro-Floral-Butterfly-Silhouette | outlines | 30 | [{"x": 0.06561983069629414, "y": 0.7584165629009932, "order": 1}, {"x": 0.10669229179766253, "y": 0.6003566392467898, "order": 2}, {"x": 0.2361341872541703, "y": 0.5316942844618555, "order": 3}, {"x": 0.17883351334091555, "y": 0.45419744829074077, "order": 4}, {"x": 0.1629878417580982, "y": 0.3045863847385084, "order":... | {"name": "Retro-Floral-Butterfly-Silhouette", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.06561983069629414, "y": 0.7584165629009932, "order": 1}, {"x": 0.10669229179766253, "y": 0.6003566392467898, "order": 2}, {"x": 0.2361341872541703, "y": 0.5316942844618555, "order": 3}, {... | ||
outlines_Seahorse-Silhouette | outlines | 30 | [{"x": 0.32030040196852316, "y": 0.17468845101750013, "order": 1}, {"x": 0.3728263408990041, "y": 0.07624795559346849, "order": 2}, {"x": 0.48362277230519346, "y": 0.05481354079136839, "order": 3}, {"x": 0.5780888969233202, "y": 0.1162613215378582, "order": 4}, {"x": 0.5992145839546604, "y": 0.2287791839891315, "order"... | {"name": "Seahorse-Silhouette", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.32030040196852316, "y": 0.17468845101750013, "order": 1}, {"x": 0.3728263408990041, "y": 0.07624795559346849, "order": 2}, {"x": 0.48362277230519346, "y": 0.05481354079136839, "order": 3}, {"x": 0.5780... | ||
outlines_apple | outlines | 30 | [{"x": 0.051799651969598855, "y": 0.5899962014429944, "order": 1}, {"x": 0.06562559215106603, "y": 0.4991064711606462, "order": 2}, {"x": 0.08642425838787682, "y": 0.4102331221624188, "order": 3}, {"x": 0.12324275084859232, "y": 0.3259924057266016, "order": 4}, {"x": 0.17020340091507685, "y": 0.24816035387169794, "orde... | {"name": "apple", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.051799651969598855, "y": 0.5899962014429944, "order": 1}, {"x": 0.06562559215106603, "y": 0.4991064711606462, "order": 2}, {"x": 0.08642425838787682, "y": 0.4102331221624188, "order": 3}, {"x": 0.12324275084859232, ... | ||
outlines_bat | outlines | 30 | [{"x": 0.07191361163368154, "y": 0.3813220850170301, "order": 1}, {"x": 0.11784174757806302, "y": 0.45348745485803976, "order": 2}, {"x": 0.191422632809998, "y": 0.4942318422800171, "order": 3}, {"x": 0.27536045783123636, "y": 0.4873566024430316, "order": 4}, {"x": 0.35620208826763045, "y": 0.4585113787321362, "order":... | {"name": "bat", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.07191361163368154, "y": 0.3813220850170301, "order": 1}, {"x": 0.11784174757806302, "y": 0.45348745485803976, "order": 2}, {"x": 0.191422632809998, "y": 0.4942318422800171, "order": 3}, {"x": 0.27536045783123636, "y":... | ||
outlines_bottle-longneck | outlines | 30 | [{"x": 0.3873612763262596, "y": 0.4879105485426486, "order": 1}, {"x": 0.38786402602678755, "y": 0.41792262115014134, "order": 2}, {"x": 0.3883667757273155, "y": 0.34793469375763425, "order": 3}, {"x": 0.3888695254278434, "y": 0.2779467663651269, "order": 4}, {"x": 0.38937227512837136, "y": 0.20795883897261963, "order"... | {"name": "bottle-longneck", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.3873612763262596, "y": 0.4879105485426486, "order": 1}, {"x": 0.38786402602678755, "y": 0.41792262115014134, "order": 2}, {"x": 0.3883667757273155, "y": 0.34793469375763425, "order": 3}, {"x": 0.3888695254... | ||
outlines_bunny | outlines | 30 | [{"x": 0.07392731164218327, "y": 0.1540746135981579, "order": 1}, {"x": 0.16199764137208078, "y": 0.0879650395821226, "order": 2}, {"x": 0.27350079192404736, "y": 0.06677953917704071, "order": 3}, {"x": 0.38634991086220716, "y": 0.05546579453640739, "order": 4}, {"x": 0.49702595057160254, "y": 0.06157309544349582, "ord... | {"name": "bunny", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.07392731164218327, "y": 0.1540746135981579, "order": 1}, {"x": 0.16199764137208078, "y": 0.0879650395821226, "order": 2}, {"x": 0.27350079192404736, "y": 0.06677953917704071, "order": 3}, {"x": 0.38634991086220716, ... | ||
outlines_camera-silhouette | outlines | 30 | [{"x": 0.05010231739132083, "y": 0.43601657355939494, "order": 1}, {"x": 0.05277646564745374, "y": 0.2842128873192521, "order": 2}, {"x": 0.09720018651075865, "y": 0.16112006400430967, "order": 3}, {"x": 0.2490308768445438, "y": 0.16051825999525265, "order": 4}, {"x": 0.40086156717832894, "y": 0.15991645598619567, "ord... | {"name": "camera-silhouette", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.05010231739132083, "y": 0.43601657355939494, "order": 1}, {"x": 0.05277646564745374, "y": 0.2842128873192521, "order": 2}, {"x": 0.09720018651075865, "y": 0.16112006400430967, "order": 3}, {"x": 0.249030... | ||
outlines_cartoon-elephant-silhouette | outlines | 30 | [{"x": 0.057480702332228, "y": 0.5510725704680253, "order": 1}, {"x": 0.1146362183233474, "y": 0.6602255118563469, "order": 2}, {"x": 0.21357684592358486, "y": 0.7344602772361571, "order": 3}, {"x": 0.33149263909928967, "y": 0.7730087961854759, "order": 4}, {"x": 0.4556405838200479, "y": 0.782512343114904, "order": 5},... | {"name": "cartoon-elephant-silhouette", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.057480702332228, "y": 0.5510725704680253, "order": 1}, {"x": 0.1146362183233474, "y": 0.6602255118563469, "order": 2}, {"x": 0.21357684592358486, "y": 0.7344602772361571, "order": 3}, {"x": 0.3... | ||
outlines_fish-tropical | outlines | 30 | [{"x": 0.05108272084742718, "y": 0.4362299289012501, "order": 1}, {"x": 0.061275860687810255, "y": 0.5343832301444307, "order": 2}, {"x": 0.09139316112018372, "y": 0.6280532859298311, "order": 3}, {"x": 0.1587118323808211, "y": 0.5852305795722257, "order": 4}, {"x": 0.21728398847581148, "y": 0.5113871426205175, "order"... | {"name": "fish-tropical", "num_points": 30, "closed_path": true, "width": 1.0, "height": 1.0, "points": [{"x": 0.05108272084742718, "y": 0.4362299289012501, "order": 1}, {"x": 0.061275860687810255, "y": 0.5343832301444307, "order": 2}, {"x": 0.09139316112018372, "y": 0.6280532859298311, "order": 3}, {"x": 0.15871183238... | ||
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worksheets_a2 | worksheets | 13 | [{"x": 30, "y": 751, "label": 1}, {"x": 61, "y": 633, "label": 2}, {"x": 89, "y": 512, "label": 3}, {"x": 134, "y": 391, "label": 4}, {"x": 180, "y": 273, "label": 5}, {"x": 225, "y": 152, "label": 6}, {"x": 270, "y": 31, "label": 7}, {"x": 315, "y": 153, "label": 8}, {"x": 360, "y": 272, "label": 9}, {"x": 389, "y": 3... | {"id": 1, "image": "datasets/connect_dots/images/a2.png", "prompt_txt": "datasets/connect_dots/images/a2.txt", "width": 528, "height": 769, "num_points": 13, "order": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13], "points": [{"x": 30, "y": 751, "label": 1}, {"x": 61, "y": 633, "label": 2}, {"x": 89, "y": 512, "label": 3}... | ||
worksheets_alarm_clock | worksheets | 19 | [{"x": 469, "y": 87, "label": 1}, {"x": 588, "y": 119, "label": 2}, {"x": 686, "y": 191, "label": 3}, {"x": 740, "y": 281, "label": 4}, {"x": 753, "y": 411, "label": 5}, {"x": 710, "y": 526, "label": 6}, {"x": 773, "y": 587, "label": 7}, {"x": 745, "y": 619, "label": 8}, {"x": 681, "y": 561, "label": 9}, {"x": 556, "y"... | {"id": 2, "image": "datasets/connect_dots/images/alarm_clock.png", "prompt_txt": "datasets/connect_dots/images/alarm_clock.txt", "width": 945, "height": 721, "num_points": 19, "order": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], "points": [{"x": 469, "y": 87, "label": 1}, {"x": 588, "y": 119, "... | ||
worksheets_alien | worksheets | 22 | [{"x": 453, "y": 365, "label": 1}, {"x": 668, "y": 417, "label": 2}, {"x": 691, "y": 499, "label": 3}, {"x": 779, "y": 497, "label": 4}, {"x": 778, "y": 594, "label": 5}, {"x": 701, "y": 585, "label": 6}, {"x": 630, "y": 638, "label": 7}, {"x": 631, "y": 794, "label": 8}, {"x": 631, "y": 866, "label": 9}, {"x": 573, "y... | {"id": 3, "image": "datasets/connect_dots/images/alien.png", "prompt_txt": "datasets/connect_dots/images/alien.txt", "width": 864, "height": 1117, "num_points": 22, "order": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22], "points": [{"x": 453, "y": 365, "label": 1}, {"x": 668, "y": 417,... | ||
worksheets_apple | worksheets | 10 | [{"x": 407, "y": 188, "label": 1}, {"x": 519, "y": 165, "label": 2}, {"x": 634, "y": 192, "label": 3}, {"x": 705, "y": 290, "label": 4}, {"x": 709, "y": 414, "label": 5}, {"x": 686, "y": 507, "label": 6}, {"x": 652, "y": 607, "label": 7}, {"x": 592, "y": 690, "label": 8}, {"x": 506, "y": 739, "label": 9}, {"x": 410, "y... | {"id": 4, "image": "datasets/connect_dots/images/apple.png", "prompt_txt": "datasets/connect_dots/images/apple.txt", "width": 785, "height": 849, "num_points": 10, "order": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "points": [{"x": 407, "y": 188, "label": 1}, {"x": 519, "y": 165, "label": 2}, {"x": 634, "y": 192, "label": 3}, {... | ||
worksheets_apple2 | worksheets | 18 | [{"x": 448, "y": 207, "label": 1}, {"x": 529, "y": 190, "label": 2}, {"x": 597, "y": 129, "label": 3}, {"x": 653, "y": 152, "label": 4}, {"x": 650, "y": 198, "label": 5}, {"x": 718, "y": 267, "label": 6}, {"x": 744, "y": 387, "label": 7}, {"x": 672, "y": 579, "label": 8}, {"x": 638, "y": 724, "label": 9}, {"x": 549, "y... | {"id": 5, "image": "datasets/connect_dots/images/apple2.jpg", "prompt_txt": "datasets/connect_dots/images/apple2.txt", "width": 800, "height": 881, "num_points": 18, "order": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18], "points": [{"x": 448, "y": 207, "label": 1}, {"x": 529, "y": 190, "label": 2}, {... | ||
worksheets_ball | worksheets | 14 | [{"x": 495, "y": 105, "label": 1}, {"x": 709, "y": 108, "label": 2}, {"x": 862, "y": 202, "label": 3}, {"x": 948, "y": 346, "label": 4}, {"x": 954, "y": 500, "label": 5}, {"x": 911, "y": 632, "label": 6}, {"x": 826, "y": 728, "label": 7}, {"x": 700, "y": 792, "label": 8}, {"x": 546, "y": 798, "label": 9}, {"x": 389, "y... | {"id": 6, "image": "datasets/connect_dots/images/ball.png", "prompt_txt": "datasets/connect_dots/images/ball.txt", "width": 1179, "height": 921, "num_points": 14, "order": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "points": [{"x": 495, "y": 105, "label": 1}, {"x": 709, "y": 108, "label": 2}, {"x": 862, "y": 202,... |
This dataset is part of the SketchVLM framework, which enables Vision-Language Models (VLMs) to produce non-destructive, editable SVG overlays on input images to visually explain their reasoning. The Physics Ball Drop benchmark specifically evaluates a model's ability to predict the trajectory of a ball through obstacles (based on PHYRE).
To download the dataset using the Hugging Face CLI, run:
huggingface-cli download loganbolton/sketchvlm-physics-ball-drop --repo-type dataset --local-dir datasets/ball_drop
@misc{collins2026sketchvlmvisionlanguagemodels,
title={SketchVLM: Vision language models can annotate images to explain thoughts and guide users},
author={Brandon Collins and Logan Bolton and Hung Huy Nguyen and Mohammad Reza Taesiri and Trung Bui and Anh Totti Nguyen},
year={2026},
eprint={2604.22875},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2604.22875},
}