Datasets:

---

totmalone

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Genshin-Impact-SFT

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: 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
metadata: struct<type: string, question: string, reference_answer: string, source: string, url: string, title: (... 363 chars omitted)
  child 0, type: string
  child 1, question: string
  child 2, reference_answer: string
  child 3, source: string
  child 4, url: string
  child 5, title: string
  child 6, positive_chunk_id: int64
  child 7, positive_doc_id: int64
  child 8, intent: string
  child 9, build_subtypes: list<item: string>
      child 0, item: string
  child 10, entity_terms: list<item: string>
      child 0, item: string
  child 11, retriever: string
  child 12, candidate_doc_rank: int64
  child 13, selected_doc_rank: int64
  child 14, retrieved_chunk_ids: list<item: int64>
      child 0, item: int64
  child 15, strict_fts_query: string
  child 16, retrieval_validated: bool
  child 17, answer_support_validated: bool
  child 18, human_verified: bool
origin_record_id: string
negative_1: struct<type: string, chunk_id: int64, doc_id: int64, source: string, title: string, url: string, tex (... 10 chars omitted)
  child 0, type: string
  child 1, chunk_id: int64
  child 2, doc_id: int64
  child 3, source: string
  child 4, title: string
  child 5, url: string
  child 6, text: string
query: string
negative_2: struct<type: string, chunk_id: int64, doc_id: int64, source: string, title: string, url: string, tex (... 10 chars omitted)
  child 0, type: string
  child 1, chunk_id: int64
  child 2, doc_id: int64
  child 3, source: string
  child 4, title: string
  child 5, url: string
  child 6, text: string
positive: struct<chunk_id: int64, doc_id: int64, source: string, title: string, url: string, text: string>
  child 0, chunk_id: int64
  child 1, doc_id: int64
  child 2, source: string
  child 3, title: string
  child 4, url: string
  child 5, text: string
to
{'id': Value('string'), 'origin_record_id': Value('string'), 'query': Value('string'), 'positive': {'chunk_id': Value('int64'), 'doc_id': Value('int64'), 'source': Value('string'), 'title': Value('string'), 'url': Value('string'), 'text': Value('string')}, 'negative_1': {'type': Value('string'), 'chunk_id': Value('int64'), 'doc_id': Value('int64'), 'source': Value('string'), 'title': Value('string'), 'url': Value('string'), 'text': Value('string')}, 'negative_2': {'type': Value('string'), 'chunk_id': Value('int64'), 'doc_id': Value('int64'), 'source': Value('string'), 'title': Value('string'), 'url': Value('string'), 'text': Value('string')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              id: 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
              metadata: struct<type: string, question: string, reference_answer: string, source: string, url: string, title: (... 363 chars omitted)
                child 0, type: string
                child 1, question: string
                child 2, reference_answer: string
                child 3, source: string
                child 4, url: string
                child 5, title: string
                child 6, positive_chunk_id: int64
                child 7, positive_doc_id: int64
                child 8, intent: string
                child 9, build_subtypes: list<item: string>
                    child 0, item: string
                child 10, entity_terms: list<item: string>
                    child 0, item: string
                child 11, retriever: string
                child 12, candidate_doc_rank: int64
                child 13, selected_doc_rank: int64
                child 14, retrieved_chunk_ids: list<item: int64>
                    child 0, item: int64
                child 15, strict_fts_query: string
                child 16, retrieval_validated: bool
                child 17, answer_support_validated: bool
                child 18, human_verified: bool
              origin_record_id: string
              negative_1: struct<type: string, chunk_id: int64, doc_id: int64, source: string, title: string, url: string, tex (... 10 chars omitted)
                child 0, type: string
                child 1, chunk_id: int64
                child 2, doc_id: int64
                child 3, source: string
                child 4, title: string
                child 5, url: string
                child 6, text: string
              query: string
              negative_2: struct<type: string, chunk_id: int64, doc_id: int64, source: string, title: string, url: string, tex (... 10 chars omitted)
                child 0, type: string
                child 1, chunk_id: int64
                child 2, doc_id: int64
                child 3, source: string
                child 4, title: string
                child 5, url: string
                child 6, text: string
              positive: struct<chunk_id: int64, doc_id: int64, source: string, title: string, url: string, text: string>
                child 0, chunk_id: int64
                child 1, doc_id: int64
                child 2, source: string
                child 3, title: string
                child 4, url: string
                child 5, text: string
              to
              {'id': Value('string'), 'origin_record_id': Value('string'), 'query': Value('string'), 'positive': {'chunk_id': Value('int64'), 'doc_id': Value('int64'), 'source': Value('string'), 'title': Value('string'), 'url': Value('string'), 'text': Value('string')}, 'negative_1': {'type': Value('string'), 'chunk_id': Value('int64'), 'doc_id': Value('int64'), 'source': Value('string'), 'title': Value('string'), 'url': Value('string'), 'text': Value('string')}, 'negative_2': {'type': Value('string'), 'chunk_id': Value('int64'), 'doc_id': Value('int64'), 'source': Value('string'), 'title': Value('string'), 'url': Value('string'), 'text': Value('string')}}
              because column names don't match