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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 ({'std', 'mean'}) and 4 missing columns ({'task_index', 'length', 'task', 'episode_id'}).

This happened while the json dataset builder was generating data using

hf://datasets/xenorobotics/towel-fold-trimmed-v37/meta/episodes_stats.jsonl (at revision 0bfa284c27d0e8ac3ec00d529f0d41e356dce9ff)

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
              mean: list<item: double>
                child 0, item: double
              std: list<item: double>
                child 0, item: double
              to
              {'episode_index': Value('int64'), 'episode_id': Value('string'), 'length': Value('int64'), 'task_index': Value('int64'), 'task': Value('string')}
              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 ({'std', 'mean'}) and 4 missing columns ({'task_index', 'length', 'task', 'episode_id'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/xenorobotics/towel-fold-trimmed-v37/meta/episodes_stats.jsonl (at revision 0bfa284c27d0e8ac3ec00d529f0d41e356dce9ff)
              
              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
episode_id
string
length
int64
task_index
int64
task
string
0
episode_000000
313
0
towel_folding_first_fold
1
episode_000001
465
0
towel_folding_first_fold
2
episode_000002
513
0
towel_folding_first_fold
3
episode_000003
461
0
towel_folding_first_fold
0
episode_000000
313
0
towel_folding_first_fold
1
episode_000001
465
0
towel_folding_first_fold
2
episode_000002
513
0
towel_folding_first_fold
3
episode_000003
461
0
towel_folding_first_fold
0
null
null
null
null
1
null
null
null
null
2
null
null
null
null
3
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
0
towel_folding_first_fold
null
null
null
0
towel_folding_first_fold
null
null
null
null
null

Dataset Trimming Information

This dataset has been trimmed to the first fold detection point.

  • Original Dataset: arsenxeno/record-test
  • Trimmed Episodes: 4
  • Average Trimmed Length: 438 frames
  • Average Fold Time: 29.1 seconds

record-test

This dataset was generated using phosphobot.

This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot.

To get started in robotics, get your own phospho starter pack..

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