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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 ({'tasks', 'length'}) and 1 missing columns ({'stats'}).

This happened while the json dataset builder was generating data using

hf://datasets/ywu67/record-test/bck/recordtest16/meta/episodes.jsonl (at revision 8a46c254a6600052806bf3bb8674893565e6c39a)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              episode_index: int64
              tasks: list<item: string>
                child 0, item: string
              length: int64
              to
              {'episode_index': Value('int64'), 'stats': {'action': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'observation.state': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'observation.images.front': {'min': List(List(List(Value('float64')))), 'max': List(List(List(Value('float64')))), 'mean': List(List(List(Value('float64')))), 'std': List(List(List(Value('float64')))), 'count': List(Value('int64'))}, 'observation.images.top': {'min': List(List(List(Value('float64')))), 'max': List(List(List(Value('float64')))), 'mean': List(List(List(Value('float64')))), 'std': List(List(List(Value('float64')))), 'count': List(Value('int64'))}, 'timestamp': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'frame_index': {'min': List(Value('int64')), 'max': List(Value('int64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'episode_index': {'min': List(Value('int64')), 'max': List(Value('int64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'index': {'min': List(Value('int64')), 'max': List(Value('int64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'task_index': {'min': List(Value('int64')), 'max': List(Value('int64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}}}
              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 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 1833, 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 ({'tasks', 'length'}) and 1 missing columns ({'stats'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/ywu67/record-test/bck/recordtest16/meta/episodes.jsonl (at revision 8a46c254a6600052806bf3bb8674893565e6c39a)
              
              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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episode_index
int64
stats
dict
0
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1
{ "action": { "min": [ -100, -100, -99.81884002685547, -99.43365478515625, -10.280830383300781, 0 ], "max": [ 100, 59.58005142211914, 100, 100, 14.920635223388672, 100 ], "mean": [ 21.40970230102539, -83.8972320556...
2
{ "action": { "min": [ -100, -100, -100, 39.724918365478516, -7.887667655944824, 0 ], "max": [ 9.826589584350586, 75.7655258178711, 99.81884002685547, 100, 2.612942695617676, 78.97196197509766 ], "mean": [ -42.1443634033...
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{ "action": { "min": [ -100, -100, 26.53985595703125, 10.194174766540527, -4.078144073486328, 0 ], "max": [ 34.10404586791992, 3.5870516300201416, 99.81884002685547, 84.6278305053711, 2.3199024200439453, 56.355140686035156 ], ...
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{ "action": { "min": [ -100, -100, 39.31159591674805, -3.802588939666748, -13.992673873901367, 0 ], "max": [ 5.202311992645264, 0.5249344110488892, 99.81884002685547, 79.36893463134766, 4.761904716491699, 52.42990493774414 ], ...
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{ "action": { "min": [ -24.682395935058594, -99.0622329711914, -18.37104034423828, -3.3762056827545166, -3.1013431549072266, 0.08968609571456909 ], "max": [ 3.6297640800476074, 20.545610427856445, 99.81900787353516, 75.88424682617188, 27.52...
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{ "action": { "min": [ -100, -100, 26.53985595703125, 10.194174766540527, -4.078144073486328, 0 ], "max": [ 34.10404586791992, 3.5870516300201416, 99.81884002685547, 84.6278305053711, 2.3199024200439453, 56.355140686035156 ], ...
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