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train

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The dataset generation failed

Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<id: int64, width: int64, height: int64, file_name: string, license: int64, bboxes: list<item: struct<id: int64, bbox: list<item: double>, category_id: int64>>, reactions: list<item: struct<reactants: list<item: int64>, conditions: list<item: int64>, products: list<item: int64>>>, caption: string, pdf: struct<Page: int64, DPI: int64, Width: int64, Height: int64, CaptionBB: list<item: int64>, ImageBB: list<item: int64>>, diagram_type: string, flickr_url: string, coco_url: string, date_captured: int64>
to
{'id': Value(dtype='int64', id=None), 'width': Value(dtype='int64', id=None), 'height': Value(dtype='int64', id=None), 'file_name': Value(dtype='string', id=None), 'license': Value(dtype='int64', id=None), 'bboxes': [{'id': Value(dtype='int64', id=None), 'bbox': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'category_id': Value(dtype='int64', id=None)}], 'reactions': [{'reactants': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'conditions': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'products': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None)}], 'corefs': Sequence(feature=Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), length=-1, id=None), 'caption': Value(dtype='string', id=None), 'pdf': {'Page': Value(dtype='int64', id=None), 'DPI': Value(dtype='int64', id=None), 'Width': Value(dtype='int64', id=None), 'Height': Value(dtype='int64', id=None), 'CaptionBB': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'ImageBB': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None)}, 'diagram_type': Value(dtype='string', id=None), 'flickr_url': Value(dtype='string', id=None), 'coco_url': Value(dtype='string', id=None), 'date_captured': Value(dtype='int64', id=None)}
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in cast_table_to_schema
                  arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in <listcomp>
                  arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, 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 1802, 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 2025, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature[0])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1804, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2122, 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: int64, width: int64, height: int64, file_name: string, license: int64, bboxes: list<item: struct<id: int64, bbox: list<item: double>, category_id: int64>>, reactions: list<item: struct<reactants: list<item: int64>, conditions: list<item: int64>, products: list<item: int64>>>, caption: string, pdf: struct<Page: int64, DPI: int64, Width: int64, Height: int64, CaptionBB: list<item: int64>, ImageBB: list<item: int64>>, diagram_type: string, flickr_url: string, coco_url: string, date_captured: int64>
              to
              {'id': Value(dtype='int64', id=None), 'width': Value(dtype='int64', id=None), 'height': Value(dtype='int64', id=None), 'file_name': Value(dtype='string', id=None), 'license': Value(dtype='int64', id=None), 'bboxes': [{'id': Value(dtype='int64', id=None), 'bbox': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'category_id': Value(dtype='int64', id=None)}], 'reactions': [{'reactants': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'conditions': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'products': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None)}], 'corefs': Sequence(feature=Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), length=-1, id=None), 'caption': Value(dtype='string', id=None), 'pdf': {'Page': Value(dtype='int64', id=None), 'DPI': Value(dtype='int64', id=None), 'Width': Value(dtype='int64', id=None), 'Height': Value(dtype='int64', id=None), 'CaptionBB': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'ImageBB': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None)}, 'diagram_type': Value(dtype='string', id=None), 'flickr_url': Value(dtype='string', id=None), 'coco_url': Value(dtype='string', id=None), 'date_captured': Value(dtype='int64', id=None)}
              
              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 1529, 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 1154, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2038, 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

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categories list	licenses list	info dict	images list	annotations list
[{"id":1,"name":"structure"},{"id":2,"name":"text"},{"id":3,"name":"identifier"},{"id":4,"name":"sup(...TRUNCATED)	[ { "name": "", "id": 0, "url": "" } ]	{"contributor":"Jiang Guo","date_created":"Feb. 01","description":"A dataset for chemical visual dia(...TRUNCATED)	[{"id":0,"width":1352,"height":1112,"file_name":"jacs.5b05415-Figure-c2.png","license":0,"bboxes":[{(...TRUNCATED)	[{"id":0,"image_id":0,"category_id":3,"segmentation":[],"area":2185.701,"bbox":[193.4,728.31,53.65,4(...TRUNCATED)
[{"id":1,"name":"structure"},{"id":2,"name":"text"},{"id":3,"name":"identifier"},{"id":4,"name":"sup(...TRUNCATED)	[ { "name": "", "id": 0, "url": "" } ]	{"contributor":"Jiang Guo","date_created":"Feb. 01","description":"A dataset for chemical visual dia(...TRUNCATED)	[{"id":0,"width":1352,"height":1112,"file_name":"jacs.5b05415-Figure-c2.png","license":0,"bboxes":[{(...TRUNCATED)	[{"id":2440,"image_id":0,"category_id":1,"segmentation":[],"area":30071.618800000004,"bbox":[85.79,5(...TRUNCATED)