Datasets:

---

Cochon123

/

scrabble-cot-dataset

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
id: string
band_ply: int64
board: list<item: struct<row: int64, col: int64, letter: string, is_blank: bool, is_existing: bool>>
  child 0, item: struct<row: int64, col: int64, letter: string, is_blank: bool, is_existing: bool>
      child 0, row: int64
      child 1, col: int64
      child 2, letter: string
      child 3, is_blank: bool
      child 4, is_existing: bool
rack: string
optimal_score: int64
optimal_moves: list<item: struct<placements: list<item: struct<row: int64, col: int64, letter: string, is_blank: bo (... 47 chars omitted)
  child 0, item: struct<placements: list<item: struct<row: int64, col: int64, letter: string, is_blank: bool>>, score (... 35 chars omitted)
      child 0, placements: list<item: struct<row: int64, col: int64, letter: string, is_blank: bool>>
          child 0, item: struct<row: int64, col: int64, letter: string, is_blank: bool>
              child 0, row: int64
              child 1, col: int64
              child 2, letter: string
              child 3, is_blank: bool
      child 1, score: int64
      child 2, words: list<item: string>
          child 0, item: string
messages: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
to
{'messages': List({'role': Value('string'), 'content': Value('string')}), 'optimal_score': Value('int64'), 'id': Value('string'), 'band_ply': 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
              id: string
              band_ply: int64
              board: list<item: struct<row: int64, col: int64, letter: string, is_blank: bool, is_existing: bool>>
                child 0, item: struct<row: int64, col: int64, letter: string, is_blank: bool, is_existing: bool>
                    child 0, row: int64
                    child 1, col: int64
                    child 2, letter: string
                    child 3, is_blank: bool
                    child 4, is_existing: bool
              rack: string
              optimal_score: int64
              optimal_moves: list<item: struct<placements: list<item: struct<row: int64, col: int64, letter: string, is_blank: bo (... 47 chars omitted)
                child 0, item: struct<placements: list<item: struct<row: int64, col: int64, letter: string, is_blank: bool>>, score (... 35 chars omitted)
                    child 0, placements: list<item: struct<row: int64, col: int64, letter: string, is_blank: bool>>
                        child 0, item: struct<row: int64, col: int64, letter: string, is_blank: bool>
                            child 0, row: int64
                            child 1, col: int64
                            child 2, letter: string
                            child 3, is_blank: bool
                    child 1, score: int64
                    child 2, words: list<item: string>
                        child 0, item: string
              messages: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              to
              {'messages': List({'role': Value('string'), 'content': Value('string')}), 'optimal_score': Value('int64'), 'id': Value('string'), 'band_ply': 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