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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 missing columns ({'targets', 'labels'})

This happened while the json dataset builder was generating data using

hf://datasets/codys12/KD1/data/train-9.json (at revision d438aa2d9bb6dcc8f4a202019211e9e182153945)

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
              
              to
              {'targets': Sequence(feature=Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), length=-1, id=None), 'labels': Sequence(feature=Value(dtype='int64', id=None), length=-1, 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 1534, 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 1155, 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 2 missing columns ({'targets', 'labels'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/codys12/KD1/data/train-9.json (at revision d438aa2d9bb6dcc8f4a202019211e9e182153945)
              
              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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labels
sequence
targets
sequence
[128000,2822,13,220,1187,26,16459,5587,220,679,16,198,2677,1618,311,4232,323,1194,264,11612,2373,315(...TRUNCATED)
[[[2822.0,14924.0,755.0,2.0,791.0,16309.0,475.0,32.0,7778.0,3936.0,2028.0,1527.0,40.0,644.0,3923.0,2(...TRUNCATED)
[128000,21994,8278,9479,8278,198,5396,220,1272,482,578,5783,78393,25352,627,7165,3882,11,7742,11,565(...TRUNCATED)
[[[21994.0,14924.0,755.0,2.0,791.0,16309.0,475.0,32.0,7778.0,3936.0,2028.0,1527.0,40.0,644.0,3923.0,(...TRUNCATED)
[128000,12487,323,1457,11,1070,374,42853,11311,430,9053,656,1935,13814,7301,60698,14243,13,3161,1695(...TRUNCATED)
[[[12487.0,14924.0,755.0,2.0,791.0,16309.0,475.0,32.0,7778.0,2028.0,3936.0,40.0,1527.0,644.0,22186.0(...TRUNCATED)
[128000,791,11412,28736,9313,430,94391,4642,12884,636,505,44531,753,8624,706,264,6453,52497,11,264,4(...TRUNCATED)
[[[791.0,14924.0,755.0,2.0,16309.0,475.0,32.0,7778.0,2028.0,3936.0,40.0,1527.0,644.0,22186.0,1687.0,(...TRUNCATED)
[128000,24374,6417,2617,2403,10495,1606,315,872,7392,17140,477,872,12822,374,1120,439,28743,439,2193(...TRUNCATED)
[[[24374.0,14924.0,755.0,2.0,791.0,16309.0,475.0,32.0,7778.0,3936.0,2028.0,1527.0,40.0,644.0,3923.0,(...TRUNCATED)
[128000,1,12978,33028,1,323,330,6263,7713,1,527,4339,430,6847,2586,311,4059,994,279,4360,315,14363,4(...TRUNCATED)
[[[1.0,14924.0,755.0,2.0,791.0,16309.0,475.0,32.0,7778.0,2028.0,3936.0,40.0,1527.0,644.0,22186.0,168(...TRUNCATED)
[128000,66490,72,48748,6980,17524,38629,29679,304,4330,4038,627,791,3861,57225,3700,9576,320,1971,49(...TRUNCATED)
[[[66490.0,14924.0,755.0,2.0,791.0,16309.0,475.0,32.0,7778.0,2028.0,3936.0,40.0,1527.0,644.0,22186.0(...TRUNCATED)
[128000,791,22765,22195,198,2520,682,279,3021,11,30363,323,26681,304,22195,13222,268,753,6603,11,114(...TRUNCATED)
[[[791.0,14924.0,755.0,2.0,16309.0,475.0,32.0,7778.0,3936.0,2028.0,1527.0,40.0,644.0,3923.0,22186.0,(...TRUNCATED)
[128000,8586,311,2684,25,362,11346,315,39546,198,3915,279,220,845,339,311,220,972,339,24552,11,1690,(...TRUNCATED)
[[[8586.0,14924.0,755.0,2.0,791.0,16309.0,475.0,32.0,7778.0,2028.0,3936.0,40.0,1527.0,644.0,22186.0,(...TRUNCATED)
[128000,32,1054,38551,863,39999,11,3341,22144,3279,65130,11,430,24465,9214,315,1274,311,264,8870,802(...TRUNCATED)
[[[32.0,14924.0,755.0,2.0,791.0,16309.0,475.0,7778.0,2028.0,3936.0,40.0,1527.0,644.0,22186.0,1687.0,(...TRUNCATED)
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