Dataset Preview
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The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      JSON parse error: Column() changed from object to string in row 0
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 174, in _generate_tables
                  df = pandas_read_json(f)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1025, in read
                  obj = self._get_object_parser(self.data)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1051, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1187, in parse
                  self._parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1402, in _parse
                  self.obj = DataFrame(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/frame.py", line 778, in __init__
                  mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 503, in dict_to_mgr
                  return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 114, in arrays_to_mgr
                  index = _extract_index(arrays)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 677, in _extract_index
                  raise ValueError("All arrays must be of the same length")
              ValueError: All arrays must be of the same length
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1815, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 177, in _generate_tables
                  raise e
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 151, in _generate_tables
                  pa_table = paj.read_json(
                File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1456, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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id
string
image
string
conversations
list
synset
string
2359102
VG_100K/2359102.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.0, 0.0, 0.05, 0.38] person" } ]
person.n.01
2371551
VG_100K/2371551.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.81, 0.45, 0.93, 0.53] rock" } ]
rock.n.01
2327605
VG_100K/2327605.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.23, 0.05, 0.3, 0.12] helmet" } ]
helmet.n.02
2400790
VG_100K_2/2400790.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.5, 0.1, 0.89, 1.0] man" } ]
man.n.01
2377225
VG_100K/2377225.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.46, 0.34, 0.97, 0.49] brown bottle" } ]
bottle.n.01
2392260
VG_100K_2/2392260.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.12, 0.3, 0.15, 0.41] flag" } ]
flag.n.01
2378004
VG_100K_2/2378004.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.4, 0.2, 0.54, 0.39] face" } ]
face.n.01
2352038
VG_100K/2352038.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.36, 0.55, 0.48, 0.76] face" } ]
face.n.01
2415664
VG_100K_2/2415664.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.58, 0.41, 0.76, 0.73] girl's picture" } ]
girl.n.01
2375124
VG_100K/2375124.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.36, 0.8, 0.41, 0.85] berry" } ]
berry.n.01
2378999
VG_100K_2/2378999.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.8, 0.31, 1.0, 0.45] hat" } ]
hat.n.01
2342014
VG_100K/2342014.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.59, 0.39, 0.66, 0.47] sign" } ]
sign.n.02
2337835
VG_100K/2337835.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.35, 0.54, 0.43, 0.68] guy" } ]
guy.n.01
2390426
VG_100K_2/2390426.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.46, 0.8, 0.48, 0.95] broom" } ]
broom.n.01
2325776
VG_100K/2325776.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.77, 0.01, 0.82, 0.05] stem" } ]
root.n.03
2386314
VG_100K_2/2386314.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.53, 0.37, 0.59, 0.4] hair" } ]
hair.n.01
2398424
VG_100K_2/2398424.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.0, 0.8, 0.55, 1.0] bacon" } ]
bacon.n.01
2318614
VG_100K/2318614.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.16, 0.61, 0.75, 0.86] jeans" } ]
jean.n.01
2318739
VG_100K/2318739.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.14, 0.77, 0.32, 0.93] packet" } ]
package.n.01
1747
VG_100K_2/1747.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.27, 0.37, 0.37, 0.47] podium" } ]
dais.n.01
2379901
VG_100K_2/2379901.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.64, 0.22, 0.73, 0.26] sunglasses" } ]
sunglasses.n.01
2328169
VG_100K/2328169.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.23, 0.03, 0.34, 0.13] helmet" } ]
helmet.n.02
2385912
VG_100K_2/2385912.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.59, 0.4, 0.81, 0.49] brush" } ]
brush.n.01
2371930
VG_100K/2371930.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.52, 0.57, 0.58, 0.66] jar" } ]
jar.n.01
2412747
VG_100K_2/2412747.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.67, 0.91, 0.74, 0.99] foot" } ]
foot.n.01
2350075
VG_100K/2350075.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.19, 0.44, 0.28, 0.56] bottle" } ]
bottle.n.01
2403174
VG_100K_2/2403174.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.58, 0.0, 0.6, 0.11] spire" } ]
steeple.n.01
2366880
VG_100K/2366880.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.43, 0.75, 0.55, 0.86] neck" } ]
neck.n.01
2344276
VG_100K/2344276.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.1, 0.54, 0.24, 0.64] hand" } ]
hand.n.01
2396430
VG_100K_2/2396430.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.34, 0.72, 1.0, 0.83] shadow" } ]
shadow.n.01
2408236
VG_100K_2/2408236.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.78, 0.76, 0.99, 0.95] shirt" } ]
shirt.n.01
2394860
VG_100K_2/2394860.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.89, 0.56, 1.0, 0.99] handle" } ]
handle.n.01
2357765
VG_100K/2357765.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.19, 0.21, 0.75, 0.77] food" } ]
food.n.01
2317227
VG_100K/2317227.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.0, 0.27, 0.28, 0.41] faucet" } ]
faucet.n.01
2414335
VG_100K_2/2414335.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.87, 0.64, 1.0, 0.86] jar" } ]
jar.n.01
2405194
VG_100K_2/2405194.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.32, 0.72, 0.41, 0.91] bird" } ]
bird.n.01
2348055
VG_100K/2348055.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.0, 0.43, 1.0, 0.77] water" } ]
water.n.01
2417641
VG_100K_2/2417641.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.29, 0.68, 0.36, 0.79] uniform" } ]
uniform.n.01
2329428
VG_100K/2329428.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.9, 0.35, 0.95, 0.39] stone" } ]
rock.n.01
2342681
VG_100K/2342681.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.8, 0.8, 0.88, 0.9] rock" } ]
rock.n.01
2356833
VG_100K/2356833.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.62, 0.7, 1.0, 1.0] blue jeans" } ]
jean.n.01
2411869
VG_100K_2/2411869.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.36, 0.2, 0.41, 0.24] cap" } ]
cap.n.01
2318335
VG_100K/2318335.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.31, 0.09, 0.41, 0.26] food" } ]
food.n.01
2367298
VG_100K/2367298.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.2, 0.54, 0.48, 0.83] trick" } ]
trick.n.01
2352312
VG_100K/2352312.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.24, 0.37, 0.79, 0.67] letters" } ]
letter.n.01
2370930
VG_100K/2370930.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.38, 0.56, 0.42, 0.64] boy" } ]
male_child.n.01
2415043
VG_100K_2/2415043.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.08, 0.34, 0.11, 0.45] person" } ]
person.n.01
2336740
VG_100K/2336740.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.49, 0.15, 0.57, 0.18] sunglasses" } ]
sunglasses.n.01
2331163
VG_100K/2331163.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.42, 0.41, 1.0, 1.0] striped shirt" } ]
shirt.n.01
2376907
VG_100K/2376907.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.66, 0.5, 0.75, 0.6] bridle" } ]
bridle.n.01
2351543
VG_100K/2351543.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.33, 0.43, 0.65, 1.0] man" } ]
man.n.01
2352774
VG_100K/2352774.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.39, 0.72, 0.48, 0.86] green fabric" } ]
fabric.n.01
2361596
VG_100K/2361596.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.2, 0.46, 0.32, 0.59] elephant" } ]
elephant.n.01
2344622
VG_100K/2344622.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.0, 0.27, 0.63, 0.99] blanket" } ]
blanket.n.01
2353945
VG_100K/2353945.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.24, 0.58, 0.35, 0.89] leg" } ]
leg.n.01
2369273
VG_100K/2369273.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.81, 0.39, 0.89, 0.47] tail feather" } ]
tail_feather.n.01
2371747
VG_100K/2371747.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.85, 0.66, 1.0, 0.82] bag" } ]
bag.n.01
2349922
VG_100K/2349922.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.58, 0.17, 0.72, 0.4] sweater" } ]
sweater.n.01
2405280
VG_100K_2/2405280.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.67, 0.4, 0.7, 0.56] tail" } ]
tail.n.01
2395074
VG_100K_2/2395074.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.14, 0.2, 0.46, 0.74] dog" } ]
dog.n.01
2371888
VG_100K/2371888.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.68, 0.07, 0.78, 0.15] paint" } ]
paint.n.01
2342798
VG_100K/2342798.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.21, 0.42, 0.29, 0.45] mouth" } ]
mouth.n.01
2342644
VG_100K/2342644.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.27, 0.84, 0.36, 0.94] skull" } ]
skull.n.01
2412666
VG_100K_2/2412666.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.27, 0.21, 0.46, 0.49] jacket" } ]
jacket.n.01
2364158
VG_100K/2364158.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.45, 0.36, 0.48, 0.43] shoulder" } ]
shoulder.n.01
2366225
VG_100K/2366225.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.52, 0.78, 0.59, 0.87] shoe" } ]
shoe.n.01
2375181
VG_100K/2375181.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.86, 0.4, 0.98, 0.56] silver watch" } ]
watch.n.01
2405010
VG_100K_2/2405010.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.5, 0.26, 0.96, 0.77] plate" } ]
plate.n.04
2353297
VG_100K/2353297.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.49, 0.29, 0.64, 0.52] pants" } ]
trouser.n.01
3320
VG_100K_2/3320.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.34, 0.77, 0.42, 0.8] stripe" } ]
band.n.04
2364950
VG_100K/2364950.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.73, 0.42, 0.8, 0.74] person" } ]
person.n.01
2379397
VG_100K_2/2379397.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.58, 0.12, 0.77, 0.29] person" } ]
person.n.01
2412655
VG_100K_2/2412655.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.5, 0.12, 0.58, 0.24] scarf" } ]
scarf.n.01
2379228
VG_100K_2/2379228.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.58, 0.53, 0.68, 0.85] coat" } ]
coat.n.01
2376498
VG_100K/2376498.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.39, 0.66, 1.0, 0.88] edge" } ]
edge.n.01
2320033
VG_100K/2320033.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.81, 0.32, 0.92, 0.41] flamingo" } ]
flamingo.n.01
2323586
VG_100K/2323586.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.24, 0.56, 0.46, 0.68] blouse" } ]
blouse.n.01
2410311
VG_100K_2/2410311.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.49, 0.41, 0.54, 0.47] hump" } ]
bulge.n.01
2408706
VG_100K_2/2408706.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.88, 0.37, 0.94, 0.48] bottle" } ]
bottle.n.01
2340852
VG_100K/2340852.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.38, 0.59, 0.5, 0.68] cake" } ]
cake.n.03
2373256
VG_100K/2373256.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.65, 0.14, 0.73, 0.52] child" } ]
child.n.01
2417962
VG_100K_2/2417962.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.0, 0.0, 0.05, 0.44] bushes" } ]
shrub.n.01
2401946
VG_100K_2/2401946.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.45, 0.42, 0.72, 0.65] shirt" } ]
shirt.n.01
2379740
VG_100K_2/2379740.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.26, 0.48, 0.35, 0.66] sheep" } ]
sheep.n.01
3474
VG_100K_2/3474.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.39, 0.55, 0.48, 0.75] child" } ]
child.n.01
2386483
VG_100K_2/2386483.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.11, 0.31, 0.65, 0.66] cat" } ]
cat.n.01
2373261
VG_100K/2373261.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.76, 0.37, 0.85, 0.58] person" } ]
person.n.01
2385976
VG_100K_2/2385976.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.0, 0.23, 0.17, 0.61] person" } ]
person.n.01
2371486
VG_100K/2371486.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.14, 0.6, 0.32, 0.84] fruit" } ]
fruit.n.01
2384896
VG_100K_2/2384896.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.75, 0.01, 0.85, 0.07] air" } ]
air.n.01
2409105
VG_100K_2/2409105.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.19, 0.32, 0.38, 0.48] snowsuit" } ]
snowsuit.n.01
4836
VG_100K_2/4836.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.2, 0.42, 0.38, 0.77] spoon" } ]
spoon.n.01
2323956
VG_100K/2323956.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.65, 0.33, 0.72, 0.43] person" } ]
person.n.01
2400086
VG_100K_2/2400086.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.44, 0.15, 0.53, 0.22] beak" } ]
beak.n.01
2319971
VG_100K/2319971.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.63, 0.4, 0.77, 0.74] dress" } ]
dress.n.01
2325169
VG_100K/2325169.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.24, 0.13, 0.28, 0.48] chili pepper" } ]
cayenne.n.01
2375484
VG_100K/2375484.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.77, 0.35, 0.98, 0.45] stripe" } ]
band.n.04
2400044
VG_100K_2/2400044.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.08, 0.08, 0.23, 0.15] tin" } ]
tin.n.01
2357740
VG_100K/2357740.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.39, 0.12, 0.71, 0.78] hydrant" } ]
water_faucet.n.01
2402272
VG_100K_2/2402272.jpg
[ { "from": "human", "value": "Render a clear and concise summary of the photo.\n<image>" }, { "from": "gpt", "value": "bbox:[0.05, 0.03, 0.1, 0.08] 5" } ]
five.n.01
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