The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 131 missing columns ({'99', '68', '89', '111', '64', '103', '31', '146', '65', '52', '36', '95', '44', '124', '98', '30', '116', '37', '39', '132', '51', '24', '94', '128', '86', '108', '33', '72', '138', '63', '77', '41', '104', '92', '20', '48', '87', '73', '85', '140', '100', '91', '79', '114', '102', '29', '120', '54', '59', '53', '101', '121', '139', '119', '49', '82', '97', '125', '131', '135', '109', '28', '143', '110', '127', '60', '88', '80', '50', '113', '42', '66', '69', '70', '75', '129', '35', '144', '142', '26', '62', '21', '112', '25', '22', '90', '61', '78', '123', '55', '136', '107', '118', '148', '58', '96', '27', '122', '84', '43', '23', '149', '74', '106', '105', '83', '93', '47', '38', '45', '81', '56', '57', '67', '19', '76', '145', '46', '32', '117', '126', '137', '133', '115', '34', '134', '147', '40', '71', '141', '130'})
This happened while the json dataset builder was generating data using
hf://datasets/shi-labs/oneformer_demo/cityscapes_panoptic.json (at revision 4d683bd5bf84e9c8b5537dce306230bde409fe89)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
0: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
1: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
2: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
3: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
4: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
5: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
6: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
7: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
8: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
9: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
10: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
11: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
12: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
13: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
14: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
15: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
16: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
17: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
18: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
to
{'0': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '1': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '2': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '3': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '4': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '5': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '6': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '7': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '8': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '9': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '10': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '11': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '12': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '13': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '14': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '15': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '16': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype=
...
e), 'name': Value(dtype='string', id=None)}, '134': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '135': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '136': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '137': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '138': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '139': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '140': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '141': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '142': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '143': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '144': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '145': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '146': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '147': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '148': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '149': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1321, 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 935, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 131 missing columns ({'99', '68', '89', '111', '64', '103', '31', '146', '65', '52', '36', '95', '44', '124', '98', '30', '116', '37', '39', '132', '51', '24', '94', '128', '86', '108', '33', '72', '138', '63', '77', '41', '104', '92', '20', '48', '87', '73', '85', '140', '100', '91', '79', '114', '102', '29', '120', '54', '59', '53', '101', '121', '139', '119', '49', '82', '97', '125', '131', '135', '109', '28', '143', '110', '127', '60', '88', '80', '50', '113', '42', '66', '69', '70', '75', '129', '35', '144', '142', '26', '62', '21', '112', '25', '22', '90', '61', '78', '123', '55', '136', '107', '118', '148', '58', '96', '27', '122', '84', '43', '23', '149', '74', '106', '105', '83', '93', '47', '38', '45', '81', '56', '57', '67', '19', '76', '145', '46', '32', '117', '126', '137', '133', '115', '34', '134', '147', '40', '71', '141', '130'})
This happened while the json dataset builder was generating data using
hf://datasets/shi-labs/oneformer_demo/cityscapes_panoptic.json (at revision 4d683bd5bf84e9c8b5537dce306230bde409fe89)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
0
dict | 1
dict | 2
dict | 3
dict | 4
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dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
{
"isthing": 0,
"name": "wall"
} | {
"isthing": 0,
"name": "building"
} | {
"isthing": 0,
"name": "sky"
} | {
"isthing": 0,
"name": "floor"
} | {
"isthing": 0,
"name": "tree"
} | {
"isthing": 0,
"name": "ceiling"
} | {
"isthing": 0,
"name": "road, route"
} | {
"isthing": 1,
"name": "bed"
} | {
"isthing": 1,
"name": "window "
} | {
"isthing": 0,
"name": "grass"
} | {
"isthing": 1,
"name": "cabinet"
} | {
"isthing": 0,
"name": "sidewalk, pavement"
} | {
"isthing": 1,
"name": "person"
} | {
"isthing": 0,
"name": "earth, ground"
} | {
"isthing": 1,
"name": "door"
} | {
"isthing": 1,
"name": "table"
} | {
"isthing": 0,
"name": "mountain, mount"
} | {
"isthing": 0,
"name": "plant"
} | {
"isthing": 1,
"name": "curtain"
} | {
"isthing": 1,
"name": "chair"
} | {
"isthing": 1,
"name": "car"
} | {
"isthing": 0,
"name": "water"
} | {
"isthing": 1,
"name": "painting, picture"
} | {
"isthing": 1,
"name": "sofa"
} | {
"isthing": 1,
"name": "shelf"
} | {
"isthing": 0,
"name": "house"
} | {
"isthing": 0,
"name": "sea"
} | {
"isthing": 1,
"name": "mirror"
} | {
"isthing": 0,
"name": "rug"
} | {
"isthing": 0,
"name": "field"
} | {
"isthing": 1,
"name": "armchair"
} | {
"isthing": 1,
"name": "seat"
} | {
"isthing": 1,
"name": "fence"
} | {
"isthing": 1,
"name": "desk"
} | {
"isthing": 0,
"name": "rock, stone"
} | {
"isthing": 1,
"name": "wardrobe, closet, press"
} | {
"isthing": 1,
"name": "lamp"
} | {
"isthing": 1,
"name": "tub"
} | {
"isthing": 1,
"name": "rail"
} | {
"isthing": 1,
"name": "cushion"
} | {
"isthing": 0,
"name": "base, pedestal, stand"
} | {
"isthing": 1,
"name": "box"
} | {
"isthing": 1,
"name": "column, pillar"
} | {
"isthing": 1,
"name": "signboard, sign"
} | {
"isthing": 1,
"name": "chest of drawers, chest, bureau, dresser"
} | {
"isthing": 1,
"name": "counter"
} | {
"isthing": 0,
"name": "sand"
} | {
"isthing": 1,
"name": "sink"
} | {
"isthing": 0,
"name": "skyscraper"
} | {
"isthing": 1,
"name": "fireplace"
} | {
"isthing": 1,
"name": "refrigerator, icebox"
} | {
"isthing": 0,
"name": "grandstand, covered stand"
} | {
"isthing": 0,
"name": "path"
} | {
"isthing": 1,
"name": "stairs"
} | {
"isthing": 0,
"name": "runway"
} | {
"isthing": 1,
"name": "case, display case, showcase, vitrine"
} | {
"isthing": 1,
"name": "pool table, billiard table, snooker table"
} | {
"isthing": 1,
"name": "pillow"
} | {
"isthing": 1,
"name": "screen door, screen"
} | {
"isthing": 0,
"name": "stairway, staircase"
} | {
"isthing": 0,
"name": "river"
} | {
"isthing": 0,
"name": "bridge, span"
} | {
"isthing": 1,
"name": "bookcase"
} | {
"isthing": 0,
"name": "blind, screen"
} | {
"isthing": 1,
"name": "coffee table"
} | {
"isthing": 1,
"name": "toilet, can, commode, crapper, pot, potty, stool, throne"
} | {
"isthing": 1,
"name": "flower"
} | {
"isthing": 1,
"name": "book"
} | {
"isthing": 0,
"name": "hill"
} | {
"isthing": 1,
"name": "bench"
} | {
"isthing": 1,
"name": "countertop"
} | {
"isthing": 1,
"name": "stove"
} | {
"isthing": 1,
"name": "palm, palm tree"
} | {
"isthing": 1,
"name": "kitchen island"
} | {
"isthing": 1,
"name": "computer"
} | {
"isthing": 1,
"name": "swivel chair"
} | {
"isthing": 1,
"name": "boat"
} | {
"isthing": 0,
"name": "bar"
} | {
"isthing": 1,
"name": "arcade machine"
} | {
"isthing": 0,
"name": "hovel, hut, hutch, shack, shanty"
} | {
"isthing": 1,
"name": "bus"
} | {
"isthing": 1,
"name": "towel"
} | {
"isthing": 1,
"name": "light"
} | {
"isthing": 1,
"name": "truck"
} | {
"isthing": 0,
"name": "tower"
} | {
"isthing": 1,
"name": "chandelier"
} | {
"isthing": 1,
"name": "awning, sunshade, sunblind"
} | {
"isthing": 1,
"name": "street lamp"
} | {
"isthing": 1,
"name": "booth"
} | {
"isthing": 1,
"name": "tv"
} | {
"isthing": 1,
"name": "plane"
} | {
"isthing": 0,
"name": "dirt track"
} | {
"isthing": 1,
"name": "clothes"
} | {
"isthing": 1,
"name": "pole"
} | {
"isthing": 0,
"name": "land, ground, soil"
} | {
"isthing": 1,
"name": "bannister, banister, balustrade, balusters, handrail"
} | {
"isthing": 0,
"name": "escalator, moving staircase, moving stairway"
} | {
"isthing": 1,
"name": "ottoman, pouf, pouffe, puff, hassock"
} | {
"isthing": 1,
"name": "bottle"
} | {
"isthing": 0,
"name": "buffet, counter, sideboard"
} | {
"isthing": 0,
"name": "poster, posting, placard, notice, bill, card"
} | {
"isthing": 0,
"name": "stage"
} | {
"isthing": 1,
"name": "van"
} | {
"isthing": 1,
"name": "ship"
} | {
"isthing": 1,
"name": "fountain"
} | {
"isthing": 0,
"name": "conveyer belt, conveyor belt, conveyer, conveyor, transporter"
} | {
"isthing": 0,
"name": "canopy"
} | {
"isthing": 1,
"name": "washer, automatic washer, washing machine"
} | {
"isthing": 1,
"name": "plaything, toy"
} | {
"isthing": 0,
"name": "pool"
} | {
"isthing": 1,
"name": "stool"
} | {
"isthing": 1,
"name": "barrel, cask"
} | {
"isthing": 1,
"name": "basket, handbasket"
} | {
"isthing": 0,
"name": "falls"
} | {
"isthing": 0,
"name": "tent"
} | {
"isthing": 1,
"name": "bag"
} | {
"isthing": 1,
"name": "minibike, motorbike"
} | {
"isthing": 0,
"name": "cradle"
} | {
"isthing": 1,
"name": "oven"
} | {
"isthing": 1,
"name": "ball"
} | {
"isthing": 1,
"name": "food, solid food"
} | {
"isthing": 1,
"name": "step, stair"
} | {
"isthing": 0,
"name": "tank, storage tank"
} | {
"isthing": 1,
"name": "trade name"
} | {
"isthing": 1,
"name": "microwave"
} | {
"isthing": 1,
"name": "pot"
} | {
"isthing": 1,
"name": "animal"
} | {
"isthing": 1,
"name": "bicycle"
} | {
"isthing": 0,
"name": "lake"
} | {
"isthing": 1,
"name": "dishwasher"
} | {
"isthing": 1,
"name": "screen"
} | {
"isthing": 0,
"name": "blanket, cover"
} | {
"isthing": 1,
"name": "sculpture"
} | {
"isthing": 1,
"name": "hood, exhaust hood"
} | {
"isthing": 1,
"name": "sconce"
} | {
"isthing": 1,
"name": "vase"
} | {
"isthing": 1,
"name": "traffic light"
} | {
"isthing": 1,
"name": "tray"
} | {
"isthing": 1,
"name": "trash can"
} | {
"isthing": 1,
"name": "fan"
} | {
"isthing": 0,
"name": "pier"
} | {
"isthing": 0,
"name": "crt screen"
} | {
"isthing": 1,
"name": "plate"
} | {
"isthing": 1,
"name": "monitor"
} | {
"isthing": 1,
"name": "bulletin board"
} | {
"isthing": 0,
"name": "shower"
} | {
"isthing": 1,
"name": "radiator"
} | {
"isthing": 1,
"name": "glass, drinking glass"
} | {
"isthing": 1,
"name": "clock"
} | {
"isthing": 1,
"name": "flag"
} |
{
"isthing": 0,
"name": "road"
} | {
"isthing": 0,
"name": "building"
} | {
"isthing": 0,
"name": "sidewalk"
} | {
"isthing": 0,
"name": "wall"
} | {
"isthing": 0,
"name": "fence"
} | {
"isthing": 0,
"name": "pole"
} | {
"isthing": 0,
"name": "traffic light"
} | {
"isthing": 0,
"name": "traffic sign"
} | {
"isthing": 0,
"name": "vegetation"
} | {
"isthing": 0,
"name": "terrain"
} | {
"isthing": 0,
"name": "sky"
} | {
"isthing": 1,
"name": "person"
} | {
"isthing": 1,
"name": "rider"
} | {
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"name": "car"
} | {
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} | {
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"name": "bus"
} | {
"isthing": 1,
"name": "train"
} | {
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"name": "motorcycle"
} | {
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"name": "bicycle"
} | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
{
"isthing": 1,
"name": "person"
} | {
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"name": "bicycle"
} | {
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"name": "car"
} | {
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"name": "motorcycle"
} | {
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"name": "airplane"
} | {
"isthing": 1,
"name": "bus"
} | {
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"name": "train"
} | {
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"name": "truck"
} | {
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"name": "boat"
} | {
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"name": "traffic light"
} | {
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"name": "fire hydrant"
} | {
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"name": "stop sign"
} | {
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"name": "parking meter"
} | {
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"name": "bench"
} | {
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"name": "bird"
} | {
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"name": "cat"
} | {
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"name": "dog"
} | {
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"name": "horse"
} | {
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"name": "sheep"
} | {
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"name": "cow"
} | {
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"name": "elephant"
} | {
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"name": "bear"
} | {
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"name": "zebra"
} | {
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"name": "giraffe"
} | {
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"name": "backpack"
} | {
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"name": "umbrella"
} | {
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"name": "handbag"
} | {
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"name": "tie"
} | {
"isthing": 1,
"name": "suitcase"
} | {
"isthing": 1,
"name": "frisbee"
} | {
"isthing": 1,
"name": "skis"
} | {
"isthing": 1,
"name": "snowboard"
} | {
"isthing": 1,
"name": "sports ball"
} | {
"isthing": 1,
"name": "kite"
} | {
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"name": "baseball bat"
} | {
"isthing": 1,
"name": "baseball glove"
} | {
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"name": "skateboard"
} | {
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"name": "surfboard"
} | {
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"name": "tennis racket"
} | {
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"name": "bottle"
} | {
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"name": "wine glass"
} | {
"isthing": 1,
"name": "cup"
} | {
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"name": "fork"
} | {
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"name": "knife"
} | {
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"name": "spoon"
} | {
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"name": "bowl"
} | {
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"name": "banana"
} | {
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"name": "apple"
} | {
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"name": "sandwich"
} | {
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"name": "orange"
} | {
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"name": "broccoli"
} | {
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"name": "carrot"
} | {
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"name": "hot dog"
} | {
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"name": "pizza"
} | {
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"name": "donut"
} | {
"isthing": 1,
"name": "cake"
} | {
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"name": "chair"
} | {
"isthing": 1,
"name": "couch"
} | {
"isthing": 1,
"name": "potted plant"
} | {
"isthing": 1,
"name": "bed"
} | {
"isthing": 1,
"name": "dining table"
} | {
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"name": "toilet"
} | {
"isthing": 1,
"name": "tv"
} | {
"isthing": 1,
"name": "laptop"
} | {
"isthing": 1,
"name": "mouse"
} | {
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"name": "remote"
} | {
"isthing": 1,
"name": "keyboard"
} | {
"isthing": 1,
"name": "cell phone"
} | {
"isthing": 1,
"name": "microwave"
} | {
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"name": "oven"
} | {
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"name": "toaster"
} | {
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"name": "sink"
} | {
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"name": "refrigerator"
} | {
"isthing": 1,
"name": "book"
} | {
"isthing": 1,
"name": "clock"
} | {
"isthing": 1,
"name": "vase"
} | {
"isthing": 1,
"name": "scissors"
} | {
"isthing": 1,
"name": "teddy bear"
} | {
"isthing": 1,
"name": "hair drier"
} | {
"isthing": 1,
"name": "toothbrush"
} | {
"isthing": 0,
"name": "banner"
} | {
"isthing": 0,
"name": "blanket"
} | {
"isthing": 0,
"name": "bridge"
} | {
"isthing": 0,
"name": "cardboard"
} | {
"isthing": 0,
"name": "counter"
} | {
"isthing": 0,
"name": "curtain"
} | {
"isthing": 0,
"name": "door-stuff"
} | {
"isthing": 0,
"name": "floor-wood"
} | {
"isthing": 0,
"name": "flower"
} | {
"isthing": 0,
"name": "fruit"
} | {
"isthing": 0,
"name": "gravel"
} | {
"isthing": 0,
"name": "house"
} | {
"isthing": 0,
"name": "light"
} | {
"isthing": 0,
"name": "mirror-stuff"
} | {
"isthing": 0,
"name": "net"
} | {
"isthing": 0,
"name": "pillow"
} | {
"isthing": 0,
"name": "platform"
} | {
"isthing": 0,
"name": "playingfield"
} | {
"isthing": 0,
"name": "railroad"
} | {
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"name": "river"
} | {
"isthing": 0,
"name": "road"
} | {
"isthing": 0,
"name": "roof"
} | {
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"name": "sand"
} | {
"isthing": 0,
"name": "sea"
} | {
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"name": "shelf"
} | {
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"name": "snow"
} | {
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"name": "stairs"
} | {
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"name": "tent"
} | {
"isthing": 0,
"name": "towel"
} | {
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"name": "wall-brick"
} | {
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"name": "wall-stone"
} | {
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"name": "wall-tile"
} | {
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"name": "wall-wood"
} | {
"isthing": 0,
"name": "water-other"
} | {
"isthing": 0,
"name": "window-blind"
} | {
"isthing": 0,
"name": "window-other"
} | {
"isthing": 0,
"name": "tree-merged"
} | {
"isthing": 0,
"name": "fence-merged"
} | {
"isthing": 0,
"name": "ceiling-merged"
} | {
"isthing": 0,
"name": "sky-other-merged"
} | {
"isthing": 0,
"name": "cabinet-merged"
} | {
"isthing": 0,
"name": "table-merged"
} | {
"isthing": 0,
"name": "floor-other-merged"
} | {
"isthing": 0,
"name": "pavement-merged"
} | {
"isthing": 0,
"name": "mountain-merged"
} | {
"isthing": 0,
"name": "grass-merged"
} | {
"isthing": 0,
"name": "dirt-merged"
} | {
"isthing": 0,
"name": "paper-merged"
} | {
"isthing": 0,
"name": "food-other-merged"
} | {
"isthing": 0,
"name": "building-other-merged"
} | {
"isthing": 0,
"name": "rock-merged"
} | {
"isthing": 0,
"name": "wall-other-merged"
} | {
"isthing": 0,
"name": "rug-merged"
} | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |