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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
doc_id: string
doc_type: string
page_num: int64
text: string
char_count: int64
n_tables: int64
page_width: double
page_height: double
n_images: int64
image_area_frac: double
n_chars_per_area: double
likely_scanned: bool
has_ocr_artifacts: bool
note: null
n_pages: int64
extraction_ok: bool
to
{'doc_id': Value('string'), 'doc_type': Value('string'), 'n_pages': Value('int64'), 'char_count': Value('int64'), 'text': Value('string'), 'extraction_ok': Value('bool'), 'note': Json(decode=True)}
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
              doc_id: string
              doc_type: string
              page_num: int64
              text: string
              char_count: int64
              n_tables: int64
              page_width: double
              page_height: double
              n_images: int64
              image_area_frac: double
              n_chars_per_area: double
              likely_scanned: bool
              has_ocr_artifacts: bool
              note: null
              n_pages: int64
              extraction_ok: bool
              to
              {'doc_id': Value('string'), 'doc_type': Value('string'), 'n_pages': Value('int64'), 'char_count': Value('int64'), 'text': Value('string'), 'extraction_ok': Value('bool'), 'note': Json(decode=True)}
              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

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doc_id
string
doc_type
string
n_pages
int64
char_count
int64
text
string
extraction_ok
bool
note
unknown
DEN170022
denovo
24
56,576
EVALUATION OF AUTOMATIC CLASS III DESIGNATION FOR QuantX DECISION SUMMARY A. DEN Number DEN170022 B. Purpose for Submission De novo request for evaluation of automatic class III designation for QuantX. C. Applicant Quantitative Insights, Inc. D. Proprietary and Established Names QuantX E...
true
null
DEN170073
denovo
18
39,507
EVALUATION OF AUTOMATIC CLASS III DESIGNATION FOR CONTACT DECISION SUMMARY A. De Novo Number: DEN170073 B. Purpose for Submission: De novo request for evaluation of automatic class III designation for Viz.AI, ContaCT C. Applicant: Viz...
true
null
DEN180005
denovo
25
50,856
EVALUATION OF AUTOMATIC CLASS III DESIGNATION FOR OSTEODETECT DECISION SUMMARY A. De Novo Number: DEN180005 B. Purpose for Submission: De novo request for evaluation of automatic class III designation for Imagen Technologies, OsteoDetect C. Applicant: Imagen Technologies D. P...
true
null
DEN190040
denovo
12
27,813
DE NOVO CLASSIFICATION REQUEST FOR CAPTION GUIDANCE REGULATORY INFORMATION FDA identifies this generic type of device as: Radiological acquisition and/or optimization guidance system. A radiological acquisition and/or optimization guidance system is a device th...
true
null
DEN220040
denovo
10
27,950
"DE Novo CLASSIFICATION REQUEST FOR \nFIBRESOLVE \nREGULATORY INFORMATION \nFDA identifies this gene(...TRUNCATED)
true
null
DEN220063
denovo
11
25,230
"DE Novo CLASSIFICATION REQUEST FOR \nCAPTION INTERPRETATION AUTOMATED EJECTION FRACTION SOFTWARE \n(...TRUNCATED)
true
null
DEN230023
denovo
12
26,529
"DE Novo CLASSIFICATION REQUEST FOR \nRHO \nREGULATORY INFORMATION \nFDA identifies this generic typ(...TRUNCATED)
true
null
DEN240047
denovo
22
54,248
"DE NOVO CLASSIFICATION REQUEST FOR \nALLIX5 \n \nREGULATORY INFORMATION \n \nFDA identifies this ge(...TRUNCATED)
true
null
DEN250007
denovo
6
15,943
" \nU.S. Food & Drug Administration \n10903 New Hampshire Avenue D o c I D # 0 4 0 1 7 . (...TRUNCATED)
true
null
K080762
510k
6
9,404
"EXHIBIT #1\n510(k) SUMMARY\nThis summary of 510(k) safety and effectiveness information is being su(...TRUNCATED)
true
null
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