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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 2 new columns ({'object', 'count'}) and 3 missing columns ({'object2', 'distance', 'object1'}).

This happened while the json dataset builder was generating data using

hf://datasets/OPPOer/VSI-100k/object_counting.json (at revision b1d31dedc3b4a81575c3361fbb2cfe852fa5e9b3)

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 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, 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 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              object: string
              count: int64
              type: string
              scene_name: string
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 558
              to
              {'object1': Value(dtype='string', id=None), 'object2': Value(dtype='string', id=None), 'distance': Value(dtype='float64', id=None), 'type': Value(dtype='string', id=None), 'scene_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 1436, 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 1053, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 1742, 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 1873, 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 2 new columns ({'object', 'count'}) and 3 missing columns ({'object2', 'distance', 'object1'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/OPPOer/VSI-100k/object_counting.json (at revision b1d31dedc3b4a81575c3361fbb2cfe852fa5e9b3)
              
              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)

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object1
string
object2
string
distance
float64
type
string
scene_name
string
shower
kitchen counter
6.081789
absolute_distance
scene0000_00
desk
kitchen counter
7.836994
absolute_distance
scene0000_00
sink
kitchen counter
4.986654
absolute_distance
scene0000_00
kitchen counter
tv
5.585205
absolute_distance
scene0000_00
pillow
kitchen counter
6.869213
absolute_distance
scene0000_00
backpack
kitchen counter
5.340563
absolute_distance
scene0000_00
couch
kitchen counter
3.544374
absolute_distance
scene0000_00
refrigerator
kitchen counter
1.644769
absolute_distance
scene0000_00
coffee table
kitchen counter
3.897781
absolute_distance
scene0000_00
toilet
kitchen counter
5.873805
absolute_distance
scene0000_00
kitchen counter
bed
5.99473
absolute_distance
scene0000_00
laundry basket
kitchen counter
5.907288
absolute_distance
scene0000_00
guitar
kitchen counter
4.759872
absolute_distance
scene0000_00
dish rack
kitchen counter
0.203097
absolute_distance
scene0000_00
kitchen counter
shelf
3.648144
absolute_distance
scene0000_00
kitchen counter
bicycle
6.432842
absolute_distance
scene0000_00
shower
desk
3.672814
absolute_distance
scene0000_00
sink
shower
1.90053
absolute_distance
scene0000_00
shower
tv
6.871887
absolute_distance
scene0000_00
pillow
shower
1.74964
absolute_distance
scene0000_00
shower
backpack
4.837669
absolute_distance
scene0000_00
couch
shower
4.648982
absolute_distance
scene0000_00
refrigerator
shower
4.447896
absolute_distance
scene0000_00
coffee table
shower
5.692396
absolute_distance
scene0000_00
toilet
shower
1.609814
absolute_distance
scene0000_00
bed
shower
1.731755
absolute_distance
scene0000_00
shower
laundry basket
0.906089
absolute_distance
scene0000_00
guitar
shower
1.551059
absolute_distance
scene0000_00
dish rack
shower
6.198181
absolute_distance
scene0000_00
shelf
shower
6.48553
absolute_distance
scene0000_00
bicycle
shower
6.284457
absolute_distance
scene0000_00
desk
sink
5.395177
absolute_distance
scene0000_00
tv
desk
5.562157
absolute_distance
scene0000_00
pillow
desk
1.999431
absolute_distance
scene0000_00
backpack
desk
3.56789
absolute_distance
scene0000_00
desk
couch
4.765699
absolute_distance
scene0000_00
desk
refrigerator
6.483336
absolute_distance
scene0000_00
desk
coffee table
5.364831
absolute_distance
scene0000_00
desk
toilet
5.22819
absolute_distance
scene0000_00
desk
bed
2.242817
absolute_distance
scene0000_00
desk
laundry basket
3.02629
absolute_distance
scene0000_00
desk
guitar
3.711609
absolute_distance
scene0000_00
desk
dish rack
7.990178
absolute_distance
scene0000_00
shelf
desk
6.329207
absolute_distance
scene0000_00
bicycle
desk
4.291435
absolute_distance
scene0000_00
tv
sink
7.366371
absolute_distance
scene0000_00
pillow
sink
3.575043
absolute_distance
scene0000_00
sink
backpack
5.573814
absolute_distance
scene0000_00
sink
couch
4.761984
absolute_distance
scene0000_00
refrigerator
sink
3.417342
absolute_distance
scene0000_00
sink
coffee table
5.821157
absolute_distance
scene0000_00
sink
toilet
0.903757
absolute_distance
scene0000_00
sink
bed
3.203403
absolute_distance
scene0000_00
sink
laundry basket
2.389633
absolute_distance
scene0000_00
sink
guitar
2.005964
absolute_distance
scene0000_00
dish rack
sink
5.076984
absolute_distance
scene0000_00
shelf
sink
6.454152
absolute_distance
scene0000_00
bicycle
sink
7.130202
absolute_distance
scene0000_00
tv
pillow
6.161451
absolute_distance
scene0000_00
backpack
tv
2.30602
absolute_distance
scene0000_00
tv
couch
2.743193
absolute_distance
scene0000_00
refrigerator
tv
5.408658
absolute_distance
scene0000_00
coffee table
tv
1.969658
absolute_distance
scene0000_00
toilet
tv
7.894114
absolute_distance
scene0000_00
bed
tv
5.441078
absolute_distance
scene0000_00
laundry basket
tv
6.174025
absolute_distance
scene0000_00
tv
guitar
5.583381
absolute_distance
scene0000_00
dish rack
tv
5.714525
absolute_distance
scene0000_00
shelf
tv
2.031261
absolute_distance
scene0000_00
bicycle
tv
1.595303
absolute_distance
scene0000_00
pillow
backpack
4.081304
absolute_distance
scene0000_00
pillow
couch
4.528205
absolute_distance
scene0000_00
refrigerator
pillow
5.322319
absolute_distance
scene0000_00
coffee table
pillow
5.432617
absolute_distance
scene0000_00
toilet
pillow
3.351372
absolute_distance
scene0000_00
pillow
bed
1.040756
absolute_distance
scene0000_00
laundry basket
pillow
1.374486
absolute_distance
scene0000_00
guitar
pillow
2.281445
absolute_distance
scene0000_00
dish rack
pillow
7.001671
absolute_distance
scene0000_00
pillow
shelf
6.297645
absolute_distance
scene0000_00
bicycle
pillow
5.281142
absolute_distance
scene0000_00
couch
backpack
1.798184
absolute_distance
scene0000_00
backpack
refrigerator
4.565127
absolute_distance
scene0000_00
backpack
coffee table
1.909726
absolute_distance
scene0000_00
backpack
toilet
5.954347
absolute_distance
scene0000_00
backpack
bed
3.291727
absolute_distance
scene0000_00
laundry basket
backpack
4.045896
absolute_distance
scene0000_00
backpack
guitar
3.629262
absolute_distance
scene0000_00
dish rack
backpack
5.507423
absolute_distance
scene0000_00
backpack
shelf
2.964102
absolute_distance
scene0000_00
bicycle
backpack
1.590977
absolute_distance
scene0000_00
couch
refrigerator
2.891551
absolute_distance
scene0000_00
couch
coffee table
1.08374
absolute_distance
scene0000_00
couch
toilet
5.371846
absolute_distance
scene0000_00
couch
bed
3.594698
absolute_distance
scene0000_00
couch
laundry basket
4.035637
absolute_distance
scene0000_00
guitar
couch
3.168138
absolute_distance
scene0000_00
couch
dish rack
3.709632
absolute_distance
scene0000_00
shelf
couch
1.956823
absolute_distance
scene0000_00
couch
bicycle
3.028895
absolute_distance
scene0000_00
End of preview.