Datasets:

---

Duplicated from  Ched-ai/voynich-eva

katzeweg

/

voynich-eva

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
build_date: string
errors: list<item: null>
  child 0, item: null
format_options: string
format_version: string
lines_by_type: struct<label: int64, paragraph: int64>
  child 0, label: int64
  child 1, paragraph: int64
lines_with_high_ascii: int64
page_ids_without_lines: list<item: string>
  child 0, item: string
pages_by_language: struct<A: int64, B: int64, unknown: int64>
  child 0, A: int64
  child 1, B: int64
  child 2, unknown: int64
pages_by_section: struct<astronomical: int64, biological: int64, cosmological: int64, herbal: int64, pharmaceutical: i (... 52 chars omitted)
  child 0, astronomical: int64
  child 1, biological: int64
  child 2, cosmological: int64
  child 3, herbal: int64
  child 4, pharmaceutical: int64
  child 5, stars: int64
  child 6, text_only: int64
  child 7, zodiac: int64
pages_with_lines: int64
pages_without_lines: int64
source_file: string
source_hash: string
source_verified: bool
text_clean_policy: string
total_characters: int64
total_lines: int64
total_pages: int64
total_pages_in_source: int64
total_words: int64
warnings: list<item: null>
  child 0, item: null
line_index: int64
text: string
word_count: int64
line_id: string
has_uncertain: bool
position: string
has_illegible: bool
hand: string
char_count: int64
source_version: string
currier_language: string
section: string
has_alternatives: bool
quire: string
has_high_ascii: bool
text_clean: string
line_type: string
line_number: int64
illustration_type: string
page_id: string
source: string
to
{'char_count': Value('int64'), 'currier_language': Value('string'), 'hand': Value('string'), 'has_alternatives': Value('bool'), 'has_high_ascii': Value('bool'), 'has_illegible': Value('bool'), 'has_uncertain': Value('bool'), 'illustration_type': Value('string'), 'line_id': Value('string'), 'line_index': Value('int64'), 'line_number': Value('int64'), 'line_type': Value('string'), 'page_id': Value('string'), 'position': Value('string'), 'quire': Value('string'), 'section': Value('string'), 'source': Value('string'), 'source_version': Value('string'), 'text': Value('string'), 'text_clean': Value('string'), 'word_count': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              build_date: string
              errors: list<item: null>
                child 0, item: null
              format_options: string
              format_version: string
              lines_by_type: struct<label: int64, paragraph: int64>
                child 0, label: int64
                child 1, paragraph: int64
              lines_with_high_ascii: int64
              page_ids_without_lines: list<item: string>
                child 0, item: string
              pages_by_language: struct<A: int64, B: int64, unknown: int64>
                child 0, A: int64
                child 1, B: int64
                child 2, unknown: int64
              pages_by_section: struct<astronomical: int64, biological: int64, cosmological: int64, herbal: int64, pharmaceutical: i (... 52 chars omitted)
                child 0, astronomical: int64
                child 1, biological: int64
                child 2, cosmological: int64
                child 3, herbal: int64
                child 4, pharmaceutical: int64
                child 5, stars: int64
                child 6, text_only: int64
                child 7, zodiac: int64
              pages_with_lines: int64
              pages_without_lines: int64
              source_file: string
              source_hash: string
              source_verified: bool
              text_clean_policy: string
              total_characters: int64
              total_lines: int64
              total_pages: int64
              total_pages_in_source: int64
              total_words: int64
              warnings: list<item: null>
                child 0, item: null
              line_index: int64
              text: string
              word_count: int64
              line_id: string
              has_uncertain: bool
              position: string
              has_illegible: bool
              hand: string
              char_count: int64
              source_version: string
              currier_language: string
              section: string
              has_alternatives: bool
              quire: string
              has_high_ascii: bool
              text_clean: string
              line_type: string
              line_number: int64
              illustration_type: string
              page_id: string
              source: string
              to
              {'char_count': Value('int64'), 'currier_language': Value('string'), 'hand': Value('string'), 'has_alternatives': Value('bool'), 'has_high_ascii': Value('bool'), 'has_illegible': Value('bool'), 'has_uncertain': Value('bool'), 'illustration_type': Value('string'), 'line_id': Value('string'), 'line_index': Value('int64'), 'line_number': Value('int64'), 'line_type': Value('string'), 'page_id': Value('string'), 'position': Value('string'), 'quire': Value('string'), 'section': Value('string'), 'source': Value('string'), 'source_version': Value('string'), 'text': Value('string'), 'text_clean': Value('string'), 'word_count': Value('int64')}
              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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1832, 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