Datasets:

---

atad-tokyo

/

egoexo-procedure-dataset-annotations

like 0

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 ({'description', 'date', 'segments', 'splits'}) and 3 missing columns ({'annotations', 'take_cam_id_map', 'ds'}).

This happened while the json dataset builder was generating data using

hf://datasets/atad-tokyo/egoexo-procedure-dataset-annotations/annotations/keystep_benchmark/keystep_segment_train.json (at revision 1da2222f412cf7bf0878ac7c7b1e52cb8f7627ab)

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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              date: timestamp[ns]
              description: string
              splits: string
              segments: struct<ego_segment_name: string, end_time: double, label_id: int64, segment_name_list: list<item: st (... 105 chars omitted)
                child 0, ego_segment_name: string
                child 1, end_time: double
                child 2, label_id: int64
                child 3, segment_name_list: list<item: string>
                    child 0, item: string
                child 4, start_time: double
                child 5, step_name: string
                child 6, step_unique_id: int64
                child 7, take_name: string
                child 8, take_uid: string
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 567
              to
              {'ds': Value('string'), 'take_cam_id_map': {'1': Value('string'), '2': Value('string'), '3': Value('string'), '4': Value('string'), '5': Value('string'), '6': Value('string')}, 'annotations': List({'annotation_uid': Value('string'), 'annotator_id': Value('string'), 'descriptions': List({'best_exo': {'cam_id': Value('string'), 'raw_cam_id': Value('string')}, 'ego_visible': Value('bool'), 'subject': Value('string'), 'text': Value('string'), 'timestamp': Value('float64'), 'unsure': Value('bool')}), 'job_id': Value('string'), 'reject_reason': Value('string'), 'rejected': Value('bool'), 'response_id': Value('string'), 'response_time': 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 1339, 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 972, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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 4 new columns ({'description', 'date', 'segments', 'splits'}) and 3 missing columns ({'annotations', 'take_cam_id_map', 'ds'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/atad-tokyo/egoexo-procedure-dataset-annotations/annotations/keystep_benchmark/keystep_segment_train.json (at revision 1da2222f412cf7bf0878ac7c7b1e52cb8f7627ab)
              
              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)