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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
ddfe86d0-eecc-45cc-ac0e-184bab1bb39b: struct<id: string, proposition: string, knowledge_type: string, confidence: double, domain: string,  (... 393 chars omitted)
  child 0, id: string
  child 1, proposition: string
  child 2, knowledge_type: string
  child 3, confidence: double
  child 4, domain: string
  child 5, justification: list<item: null>
      child 0, item: null
  child 6, sources: list<item: struct<name: string, url: null, reliability_score: double, retrieved_at: string>>
      child 0, item: struct<name: string, url: null, reliability_score: double, retrieved_at: string>
          child 0, name: string
          child 1, url: null
          child 2, reliability_score: double
          child 3, retrieved_at: string
  child 7, keywords: list<item: null>
      child 0, item: null
  child 8, revision_history: list<item: null>
      child 0, item: null
  child 9, created_at: string
  child 10, epistemic_gaps: list<item: null>
      child 0, item: null
  child 11, relations: struct<>
  child 12, code_snippet: null
  child 13, language: null
  child 14, time_complexity: null
  child 15, space_complexity: null
  child 16, when_to_use: null
  child 17, tradeoffs: null
99fb542b-ab84-4d7a-b487-8f376ace846c: struct<id: string, proposition: string, knowledge_type: string, confidence: double, domain: string,  (... 393 chars omitted)
  child 0, id: string
  child 1, proposition: string
  child 2, knowledge_type: string
  child 3, confidence: double
  child 4, domain: string
  ch
...
tem: string
  child 12, code_snippet: null
  child 13, language: null
  child 14, time_complexity: null
  child 15, space_complexity: null
  child 16, when_to_use: null
  child 17, tradeoffs: null
9aa91665-c44b-405a-82f1-afe331b7d6ed: struct<id: string, proposition: string, knowledge_type: string, confidence: double, domain: string,  (... 426 chars omitted)
  child 0, id: string
  child 1, proposition: string
  child 2, knowledge_type: string
  child 3, confidence: double
  child 4, domain: string
  child 5, justification: list<item: null>
      child 0, item: null
  child 6, sources: list<item: struct<name: string, url: null, reliability_score: double, retrieved_at: string>>
      child 0, item: struct<name: string, url: null, reliability_score: double, retrieved_at: string>
          child 0, name: string
          child 1, url: null
          child 2, reliability_score: double
          child 3, retrieved_at: string
  child 7, keywords: list<item: string>
      child 0, item: string
  child 8, revision_history: list<item: null>
      child 0, item: null
  child 9, created_at: string
  child 10, epistemic_gaps: list<item: null>
      child 0, item: null
  child 11, relations: struct<GENERALIZES: list<item: string>>
      child 0, GENERALIZES: list<item: string>
          child 0, item: string
  child 12, code_snippet: null
  child 13, language: null
  child 14, time_complexity: null
  child 15, space_complexity: null
  child 16, when_to_use: null
  child 17, tradeoffs: null
to
{'text': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1821, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._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
              ddfe86d0-eecc-45cc-ac0e-184bab1bb39b: struct<id: string, proposition: string, knowledge_type: string, confidence: double, domain: string,  (... 393 chars omitted)
                child 0, id: string
                child 1, proposition: string
                child 2, knowledge_type: string
                child 3, confidence: double
                child 4, domain: string
                child 5, justification: list<item: null>
                    child 0, item: null
                child 6, sources: list<item: struct<name: string, url: null, reliability_score: double, retrieved_at: string>>
                    child 0, item: struct<name: string, url: null, reliability_score: double, retrieved_at: string>
                        child 0, name: string
                        child 1, url: null
                        child 2, reliability_score: double
                        child 3, retrieved_at: string
                child 7, keywords: list<item: null>
                    child 0, item: null
                child 8, revision_history: list<item: null>
                    child 0, item: null
                child 9, created_at: string
                child 10, epistemic_gaps: list<item: null>
                    child 0, item: null
                child 11, relations: struct<>
                child 12, code_snippet: null
                child 13, language: null
                child 14, time_complexity: null
                child 15, space_complexity: null
                child 16, when_to_use: null
                child 17, tradeoffs: null
              99fb542b-ab84-4d7a-b487-8f376ace846c: struct<id: string, proposition: string, knowledge_type: string, confidence: double, domain: string,  (... 393 chars omitted)
                child 0, id: string
                child 1, proposition: string
                child 2, knowledge_type: string
                child 3, confidence: double
                child 4, domain: string
                ch
              ...
              tem: string
                child 12, code_snippet: null
                child 13, language: null
                child 14, time_complexity: null
                child 15, space_complexity: null
                child 16, when_to_use: null
                child 17, tradeoffs: null
              9aa91665-c44b-405a-82f1-afe331b7d6ed: struct<id: string, proposition: string, knowledge_type: string, confidence: double, domain: string,  (... 426 chars omitted)
                child 0, id: string
                child 1, proposition: string
                child 2, knowledge_type: string
                child 3, confidence: double
                child 4, domain: string
                child 5, justification: list<item: null>
                    child 0, item: null
                child 6, sources: list<item: struct<name: string, url: null, reliability_score: double, retrieved_at: string>>
                    child 0, item: struct<name: string, url: null, reliability_score: double, retrieved_at: string>
                        child 0, name: string
                        child 1, url: null
                        child 2, reliability_score: double
                        child 3, retrieved_at: string
                child 7, keywords: list<item: string>
                    child 0, item: string
                child 8, revision_history: list<item: null>
                    child 0, item: null
                child 9, created_at: string
                child 10, epistemic_gaps: list<item: null>
                    child 0, item: null
                child 11, relations: struct<GENERALIZES: list<item: string>>
                    child 0, GENERALIZES: list<item: string>
                        child 0, item: string
                child 12, code_snippet: null
                child 13, language: null
                child 14, time_complexity: null
                child 15, space_complexity: null
                child 16, when_to_use: null
                child 17, tradeoffs: null
              to
              {'text': 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 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

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