Datasets:

---

hsienchen

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CORD2

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
dontcare: list<item: null>
  child 0, item: null
valid_line: list<item: struct<words: list<item: struct<quad: struct<x2: int64, y3: int64, x3: int64, y4: int64,  (... 126 chars omitted)
  child 0, item: struct<words: list<item: struct<quad: struct<x2: int64, y3: int64, x3: int64, y4: int64, x1: int64,  (... 114 chars omitted)
      child 0, words: list<item: struct<quad: struct<x2: int64, y3: int64, x3: int64, y4: int64, x1: int64, y1: int64, x4: (... 64 chars omitted)
          child 0, item: struct<quad: struct<x2: int64, y3: int64, x3: int64, y4: int64, x1: int64, y1: int64, x4: int64, y2: (... 52 chars omitted)
              child 0, quad: struct<x2: int64, y3: int64, x3: int64, y4: int64, x1: int64, y1: int64, x4: int64, y2: int64>
                  child 0, x2: int64
                  child 1, y3: int64
                  child 2, x3: int64
                  child 3, y4: int64
                  child 4, x1: int64
                  child 5, y1: int64
                  child 6, x4: int64
                  child 7, y2: int64
              child 1, is_key: int64
              child 2, row_id: int64
              child 3, text: string
      child 1, category: string
      child 2, group_id: int64
meta: struct<version: string, split: string, image_id: int64, image_size: struct<width: int64, height: int (... 4 chars omitted)
  child 0, version: string
  child 1, split: string
  child 2, image_id: int64
  child 3, image_size: struct<width: int64, height: int64>
      child 0, width: int64
      child 1, height: int64
roi: struct<>
repeating_symbol: list<item: null>
  child 0, item: null
image: struct<bytes: binary, path: string>
  child 0, bytes: binary
  child 1, path: string
ground_truth: string
to
{'image': Image(mode=None, decode=True), 'ground_truth': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              dontcare: list<item: null>
                child 0, item: null
              valid_line: list<item: struct<words: list<item: struct<quad: struct<x2: int64, y3: int64, x3: int64, y4: int64,  (... 126 chars omitted)
                child 0, item: struct<words: list<item: struct<quad: struct<x2: int64, y3: int64, x3: int64, y4: int64, x1: int64,  (... 114 chars omitted)
                    child 0, words: list<item: struct<quad: struct<x2: int64, y3: int64, x3: int64, y4: int64, x1: int64, y1: int64, x4: (... 64 chars omitted)
                        child 0, item: struct<quad: struct<x2: int64, y3: int64, x3: int64, y4: int64, x1: int64, y1: int64, x4: int64, y2: (... 52 chars omitted)
                            child 0, quad: struct<x2: int64, y3: int64, x3: int64, y4: int64, x1: int64, y1: int64, x4: int64, y2: int64>
                                child 0, x2: int64
                                child 1, y3: int64
                                child 2, x3: int64
                                child 3, y4: int64
                                child 4, x1: int64
                                child 5, y1: int64
                                child 6, x4: int64
                                child 7, y2: int64
                            child 1, is_key: int64
                            child 2, row_id: int64
                            child 3, text: string
                    child 1, category: string
                    child 2, group_id: int64
              meta: struct<version: string, split: string, image_id: int64, image_size: struct<width: int64, height: int (... 4 chars omitted)
                child 0, version: string
                child 1, split: string
                child 2, image_id: int64
                child 3, image_size: struct<width: int64, height: int64>
                    child 0, width: int64
                    child 1, height: int64
              roi: struct<>
              repeating_symbol: list<item: null>
                child 0, item: null
              image: struct<bytes: binary, path: string>
                child 0, bytes: binary
                child 1, path: string
              ground_truth: string
              to
              {'image': Image(mode=None, decode=True), 'ground_truth': Value('string')}
              because column names don't match
              
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, 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