Datasets:

ggh5454
/

legal-provence-ko-with-teacher-scores

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
id: string
query: string
texts: list<item: string>
  child 0, item: string
labels: list<item: int64>
  child 0, item: int64
context_spans: list<item: list<item: list<item: int64>>>
  child 0, item: list<item: list<item: int64>>
      child 0, item: list<item: int64>
          child 0, item: int64
context_spans_relevance: list<item: list<item: int64>>
  child 0, item: list<item: int64>
      child 0, item: int64
teacher_scores.bge-reranker-v2-m3: list<item: double>
  child 0, item: double
-- schema metadata --
huggingface: '{"info": {"features": {"id": {"dtype": "string", "_type": "' + 641
to
{'indices': Value('uint64')}
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/arrow/arrow.py", line 75, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/arrow/arrow.py", line 54, 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
              id: string
              query: string
              texts: list<item: string>
                child 0, item: string
              labels: list<item: int64>
                child 0, item: int64
              context_spans: list<item: list<item: list<item: int64>>>
                child 0, item: list<item: list<item: int64>>
                    child 0, item: list<item: int64>
                        child 0, item: int64
              context_spans_relevance: list<item: list<item: int64>>
                child 0, item: list<item: int64>
                    child 0, item: int64
              teacher_scores.bge-reranker-v2-m3: list<item: double>
                child 0, item: double
              -- schema metadata --
              huggingface: '{"info": {"features": {"id": {"dtype": "string", "_type": "' + 641
              to
              {'indices': Value('uint64')}
              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

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End of preview.

legal-provence-ko-with-teacher-scores

legal-provence-ko-with-relevance에 teacher model의 reranking score를 추가한 최종 훈련용 데이터셋입니다.
ggh5454/open-provence-koen-legal 모델 학습에 직접 사용된 데이터셋입니다.

Dataset Details

Split	Rows
train	50,000
validation	1,000
test	1,000

Features

Feature	Type	설명
`id`	string	샘플 고유 ID
`query`	string	검색 쿼리
`texts`	list[string]	후보 문서 목록 (8개)
`labels`	list[int]	문서별 관련성 레이블
`context_spans`	list[list[list[int]]]	span character offsets
`context_spans_relevance`	list[list[int]]	span별 relevance 레이블
`teacher_scores.bge-reranker-v2-m3`	list[float]	Teacher 모델의 reranking score

Teacher Model

Teacher: BAAI/bge-reranker-v2-m3
Score distillation을 통해 문서별 relevance score를 제공
훈련 시 teacher_column: teacher_scores.bge-reranker-v2-m3 로 참조

ggh5454/legal-provence-ko-with-relevance: teacher score 없는 버전
ggh5454/open-provence-koen-legal: 이 데이터로 학습된 모델

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Total file size:

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legal-provence-ko-with-teacher-scores

Dataset Details

Features

Teacher Model

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