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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 datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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 |
End of preview.
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