Datasets:

---

WellcomeCollection

/

catalogue_snapshot_works

like 0

Follow

Wellcome Collection 2

Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<id: string, identifiers: list<item: struct<identifierType: struct<id: string, label: string, type: string>, value: string, type: string>>, locations: list<item: struct<label: string, accessConditions: list<item: struct<method: struct<id: string, label: string, type: string>, status: struct<id: string, label: string, type: string>, type: string, note: string>>, shelfmark: string, locationType: struct<id: string, label: string, type: string>, type: string, url: string, linkText: string>>, type: string, title: string, note: string>
to
{'id': Value('string'), 'identifiers': List({'identifierType': {'id': Value('string'), 'label': Value('string'), 'type': Value('string')}, 'value': Value('string'), 'type': Value('string')}), 'locations': List({'label': Value('string'), 'accessConditions': List({'method': {'id': Value('string'), 'label': Value('string'), 'type': Value('string')}, 'type': Value('string'), 'status': {'id': Value('string'), 'label': Value('string'), 'type': Value('string')}, 'note': Value('string')}), 'shelfmark': Value('string'), 'locationType': {'id': Value('string'), 'label': Value('string'), 'type': Value('string')}, 'type': Value('string'), 'linkText': Value('string'), 'url': Value('string')}), 'type': Value('string'), 'title': Value('string')}
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 2223, in cast_table_to_schema
                  arrays = [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2224, in <listcomp>
                  cast_array_to_feature(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in <listcomp>
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2052, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2092, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<id: string, identifiers: list<item: struct<identifierType: struct<id: string, label: string, type: string>, value: string, type: string>>, locations: list<item: struct<label: string, accessConditions: list<item: struct<method: struct<id: string, label: string, type: string>, status: struct<id: string, label: string, type: string>, type: string, note: string>>, shelfmark: string, locationType: struct<id: string, label: string, type: string>, type: string, url: string, linkText: string>>, type: string, title: string, note: string>
              to
              {'id': Value('string'), 'identifiers': List({'identifierType': {'id': Value('string'), 'label': Value('string'), 'type': Value('string')}, 'value': Value('string'), 'type': Value('string')}), 'locations': List({'label': Value('string'), 'accessConditions': List({'method': {'id': Value('string'), 'label': Value('string'), 'type': Value('string')}, 'type': Value('string'), 'status': {'id': Value('string'), 'label': Value('string'), 'type': Value('string')}, 'note': Value('string')}), 'shelfmark': Value('string'), 'locationType': {'id': Value('string'), 'label': Value('string'), 'type': Value('string')}, 'type': Value('string'), 'linkText': Value('string'), 'url': Value('string')}), 'type': Value('string'), 'title': Value('string')}
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1451, 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 994, in stream_convert_to_parquet
                  builder._prepare_split(
                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 1858, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset