Datasets:

---

Makaareeem

/

publikasi-rag-knowledge-base

Like 1

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
total_chunks: int64
embedding_dim: int64
index_type: string
model_id: string
task_prefix: string
query_prefix: string
max_seq_length: int64
normalized: bool
pipeline_version: string
source: string
chunk_type_distribution: struct<toc_table: int64, toc_figure: int64, text_only: int64, figure_rich: int64, mixed_rich: int64, (... 19 chars omitted)
  child 0, toc_table: int64
  child 1, toc_figure: int64
  child 2, text_only: int64
  child 3, figure_rich: int64
  child 4, mixed_rich: int64
  child 5, table_rich: int64
n_toc_chunks: int64
n_truncated_chunks: int64
embeddings_sha256: string
source_pages: list<item: int64>
  child 0, item: int64
is_toc: bool
bps_url: string
chunk_type: string
source_file: string
token_estimate: int64
document_year: string
chunk_page_start: int64
chunk_page_end: int64
document_title: string
chunk_id: string
section_level: int64
text: string
source_chunk_ids: list<item: string>
  child 0, item: string
provenance_fallback: bool
section_id: string
faiss_id: int64
section_title: string
page_end: int64
page_start: int64
to
{'faiss_id': Value('int64'), 'chunk_id': Value('string'), 'text': Value('string'), 'document_title': Value('string'), 'document_year': Value('string'), 'source_file': Value('string'), 'bps_url': Value('string'), 'section_id': Value('string'), 'section_title': Value('string'), 'section_level': Value('int64'), 'page_start': Value('int64'), 'page_end': Value('int64'), 'chunk_page_start': Value('int64'), 'chunk_page_end': Value('int64'), 'source_pages': List(Value('int64')), 'source_chunk_ids': List(Value('string')), 'chunk_type': Value('string'), 'is_toc': Value('bool'), 'provenance_fallback': Value('bool'), 'token_estimate': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              total_chunks: int64
              embedding_dim: int64
              index_type: string
              model_id: string
              task_prefix: string
              query_prefix: string
              max_seq_length: int64
              normalized: bool
              pipeline_version: string
              source: string
              chunk_type_distribution: struct<toc_table: int64, toc_figure: int64, text_only: int64, figure_rich: int64, mixed_rich: int64, (... 19 chars omitted)
                child 0, toc_table: int64
                child 1, toc_figure: int64
                child 2, text_only: int64
                child 3, figure_rich: int64
                child 4, mixed_rich: int64
                child 5, table_rich: int64
              n_toc_chunks: int64
              n_truncated_chunks: int64
              embeddings_sha256: string
              source_pages: list<item: int64>
                child 0, item: int64
              is_toc: bool
              bps_url: string
              chunk_type: string
              source_file: string
              token_estimate: int64
              document_year: string
              chunk_page_start: int64
              chunk_page_end: int64
              document_title: string
              chunk_id: string
              section_level: int64
              text: string
              source_chunk_ids: list<item: string>
                child 0, item: string
              provenance_fallback: bool
              section_id: string
              faiss_id: int64
              section_title: string
              page_end: int64
              page_start: int64
              to
              {'faiss_id': Value('int64'), 'chunk_id': Value('string'), 'text': Value('string'), 'document_title': Value('string'), 'document_year': Value('string'), 'source_file': Value('string'), 'bps_url': Value('string'), 'section_id': Value('string'), 'section_title': Value('string'), 'section_level': Value('int64'), 'page_start': Value('int64'), 'page_end': Value('int64'), 'chunk_page_start': Value('int64'), 'chunk_page_end': Value('int64'), 'source_pages': List(Value('int64')), 'source_chunk_ids': List(Value('string')), 'chunk_type': Value('string'), 'is_toc': Value('bool'), 'provenance_fallback': Value('bool'), 'token_estimate': 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 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 1694, 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 1880, 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