Datasets:

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RE3SIM

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act-dataset

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RE3SIM 1

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 4 new columns ({'random_results', 'picking_item_name', 'mask_idToLabels', 'item_names'}) and 1 missing columns ({'text'}).

This happened while the json dataset builder was generating data using

hf://datasets/RE3SIM/act-dataset/place_on_the_box/2025-02-09_11-52-55_614588/log-000001-1748/info.json (at revision fbeac7998d716ab00b3ab76fd7598b466488cfbc)

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 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              mask_idToLabels: struct<camera_0: struct<0: struct<class: string>, 2: struct<class: string>, 3: struct<class: string>, 4: struct<class: string>, 5: struct<class: string>>, wrist_camera: struct<0: struct<class: string>, 1: struct<class: string>, 2: struct<class: string>, 4: struct<class: string>, 3: struct<class: string>>>
                child 0, camera_0: struct<0: struct<class: string>, 2: struct<class: string>, 3: struct<class: string>, 4: struct<class: string>, 5: struct<class: string>>
                    child 0, 0: struct<class: string>
                        child 0, class: string
                    child 1, 2: struct<class: string>
                        child 0, class: string
                    child 2, 3: struct<class: string>
                        child 0, class: string
                    child 3, 4: struct<class: string>
                        child 0, class: string
                    child 4, 5: struct<class: string>
                        child 0, class: string
                child 1, wrist_camera: struct<0: struct<class: string>, 1: struct<class: string>, 2: struct<class: string>, 4: struct<class: string>, 3: struct<class: string>>
                    child 0, 0: struct<class: string>
                        child 0, class: string
                    child 1, 1: struct<class: string>
                        child 0, class: string
                    child 2, 2: struct<class: string>
                        child 0, class: string
                    child 3, 4: struct<class: string>
                        child 0, class: string
                    child 4, 3: struct<class: string>
                        child 0, class: string
              picking_item_name: string
              item_names: list<item: string>
                child 0, item: string
              random_results: struct<ItemPoseRandom: list<item: list<item: list<item: double>>>, RobotBaseRandom: list<item: double>>
                child 0, ItemPoseRandom: list<item: list<item: list<item: double>>>
                    child 0, item: list<item: list<item: double>>
                        child 0, item: list<item: double>
                            child 0, item: double
                child 1, RobotBaseRandom: list<item: double>
                    child 0, item: double
              to
              {'text': 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 1415, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 991, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, 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 1872, 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 4 new columns ({'random_results', 'picking_item_name', 'mask_idToLabels', 'item_names'}) and 1 missing columns ({'text'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/RE3SIM/act-dataset/place_on_the_box/2025-02-09_11-52-55_614588/log-000001-1748/info.json (at revision fbeac7998d716ab00b3ab76fd7598b466488cfbc)
              
              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)