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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.

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{ "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" }
{ "isthing": 1, "name": "car" }
{ "isthing": 1, "name": "truck" }
{ "isthing": 1, "name": "bus" }
{ "isthing": 1, "name": "train" }
{ "isthing": 1, "name": "motorcycle" }
{ "isthing": 1, "name": "bicycle" }
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{ "isthing": 1, "name": "person" }
{ "isthing": 1, "name": "bicycle" }
{ "isthing": 1, "name": "car" }
{ "isthing": 1, "name": "motorcycle" }
{ "isthing": 1, "name": "airplane" }
{ "isthing": 1, "name": "bus" }
{ "isthing": 1, "name": "train" }
{ "isthing": 1, "name": "truck" }
{ "isthing": 1, "name": "boat" }
{ "isthing": 1, "name": "traffic light" }
{ "isthing": 1, "name": "fire hydrant" }
{ "isthing": 1, "name": "stop sign" }
{ "isthing": 1, "name": "parking meter" }
{ "isthing": 1, "name": "bench" }
{ "isthing": 1, "name": "bird" }
{ "isthing": 1, "name": "cat" }
{ "isthing": 1, "name": "dog" }
{ "isthing": 1, "name": "horse" }
{ "isthing": 1, "name": "sheep" }
{ "isthing": 1, "name": "cow" }
{ "isthing": 1, "name": "elephant" }
{ "isthing": 1, "name": "bear" }
{ "isthing": 1, "name": "zebra" }
{ "isthing": 1, "name": "giraffe" }
{ "isthing": 1, "name": "backpack" }
{ "isthing": 1, "name": "umbrella" }
{ "isthing": 1, "name": "handbag" }
{ "isthing": 1, "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" }
{ "isthing": 1, "name": "baseball bat" }
{ "isthing": 1, "name": "baseball glove" }
{ "isthing": 1, "name": "skateboard" }
{ "isthing": 1, "name": "surfboard" }
{ "isthing": 1, "name": "tennis racket" }
{ "isthing": 1, "name": "bottle" }
{ "isthing": 1, "name": "wine glass" }
{ "isthing": 1, "name": "cup" }
{ "isthing": 1, "name": "fork" }
{ "isthing": 1, "name": "knife" }
{ "isthing": 1, "name": "spoon" }
{ "isthing": 1, "name": "bowl" }
{ "isthing": 1, "name": "banana" }
{ "isthing": 1, "name": "apple" }
{ "isthing": 1, "name": "sandwich" }
{ "isthing": 1, "name": "orange" }
{ "isthing": 1, "name": "broccoli" }
{ "isthing": 1, "name": "carrot" }
{ "isthing": 1, "name": "hot dog" }
{ "isthing": 1, "name": "pizza" }
{ "isthing": 1, "name": "donut" }
{ "isthing": 1, "name": "cake" }
{ "isthing": 1, "name": "chair" }
{ "isthing": 1, "name": "couch" }
{ "isthing": 1, "name": "potted plant" }
{ "isthing": 1, "name": "bed" }
{ "isthing": 1, "name": "dining table" }
{ "isthing": 1, "name": "toilet" }
{ "isthing": 1, "name": "tv" }
{ "isthing": 1, "name": "laptop" }
{ "isthing": 1, "name": "mouse" }
{ "isthing": 1, "name": "remote" }
{ "isthing": 1, "name": "keyboard" }
{ "isthing": 1, "name": "cell phone" }
{ "isthing": 1, "name": "microwave" }
{ "isthing": 1, "name": "oven" }
{ "isthing": 1, "name": "toaster" }
{ "isthing": 1, "name": "sink" }
{ "isthing": 1, "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" }
{ "isthing": 0, "name": "river" }
{ "isthing": 0, "name": "road" }
{ "isthing": 0, "name": "roof" }
{ "isthing": 0, "name": "sand" }
{ "isthing": 0, "name": "sea" }
{ "isthing": 0, "name": "shelf" }
{ "isthing": 0, "name": "snow" }
{ "isthing": 0, "name": "stairs" }
{ "isthing": 0, "name": "tent" }
{ "isthing": 0, "name": "towel" }
{ "isthing": 0, "name": "wall-brick" }
{ "isthing": 0, "name": "wall-stone" }
{ "isthing": 0, "name": "wall-tile" }
{ "isthing": 0, "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" }
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