Datasets:

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humanfia-lab

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Humanfia Lab 5

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
index: string
category: string
source_dataset: string
source_dataset_url: string
year: int64
problem_id: string
problem_number: int64
part_id: string
part_letter: string
subquestion_number: int64
formalization_input_policy: struct<previous_parts: string, images: string>
  child 0, previous_parts: string
  child 1, images: string
context: string
current_question: string
question: string
answer: string
answers: list<item: string>
  child 0, item: string
marking: list<item: list<item: string>>
  child 0, item: list<item: string>
      child 0, item: string
answer_type: list<item: string>
  child 0, item: string
unit: list<item: string>
  child 0, item: string
points: list<item: double>
  child 0, item: double
modality: string
field: string
source: string
previous_parts: list<item: struct<source_id: string, part_id: string, question: string, answer: string, reusable_con (... 57 chars omitted)
  child 0, item: struct<source_id: string, part_id: string, question: string, answer: string, reusable_conclusions: l (... 45 chars omitted)
      child 0, source_id: string
      child 1, part_id: string
      child 2, question: string
      child 3, answer: string
      child 4, reusable_conclusions: list<item: string>
          child 0, item: string
      child 5, dependency_policy: string
previous_part_count: int64
images: list<item: struct<path: string, original_path: string, role: string, evidence: string>>
  child 0, item: struct<path: string, original_path: string, role: string, evidence: string>
      child 0, path: string
      child 1, original_path: string
      child 2, role: string
      child 3, evidence: string
image: string
image_count: int64
raw_hipho_image_question: list<item: string>
  child 0, item: string
to
{'index': Value('string'), 'category': Value('string'), 'source_dataset': Value('string'), 'source_dataset_url': Value('null'), 'year': Value('int64'), 'problem_id': Value('string'), 'problem_number': Value('int64'), 'part_id': Value('string'), 'part_letter': Value('string'), 'subquestion_number': Value('int64'), 'formalization_input_policy': {'previous_parts': Value('string'), 'images': Value('string'), 'answers': Value('string')}, 'context': Value('string'), 'current_question': Value('string'), 'question': Value('string'), 'answer': Value('string'), 'answers': List(Value('string')), 'answer_type': List(Value('string')), 'unit': List(Value('null')), 'points': List(Value('float64')), 'marking': List(List(Value('string'))), 'modality': Value('string'), 'field': Value('string'), 'source': Value('string'), 'previous_parts': List({'source_id': Value('string'), 'part_id': Value('string'), 'question': Value('string'), 'answer': Value('string'), 'reusable_conclusions': List(Value('string')), 'dependency_policy': Value('string'), 'dependency_confidence': Value('string'), 'review_note': Value('string')}), 'previous_part_count': Value('int64'), 'images': List({'original_path': Value('string'), 'role': Value('string'), 'evidence': Value('string'), 'page': Value('int64'), 'caption': Value('string'), 'path': Value('string')}), 'image': Value('string'), 'image_count': Value('int64')}
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
              index: string
              category: string
              source_dataset: string
              source_dataset_url: string
              year: int64
              problem_id: string
              problem_number: int64
              part_id: string
              part_letter: string
              subquestion_number: int64
              formalization_input_policy: struct<previous_parts: string, images: string>
                child 0, previous_parts: string
                child 1, images: string
              context: string
              current_question: string
              question: string
              answer: string
              answers: list<item: string>
                child 0, item: string
              marking: list<item: list<item: string>>
                child 0, item: list<item: string>
                    child 0, item: string
              answer_type: list<item: string>
                child 0, item: string
              unit: list<item: string>
                child 0, item: string
              points: list<item: double>
                child 0, item: double
              modality: string
              field: string
              source: string
              previous_parts: list<item: struct<source_id: string, part_id: string, question: string, answer: string, reusable_con (... 57 chars omitted)
                child 0, item: struct<source_id: string, part_id: string, question: string, answer: string, reusable_conclusions: l (... 45 chars omitted)
                    child 0, source_id: string
                    child 1, part_id: string
                    child 2, question: string
                    child 3, answer: string
                    child 4, reusable_conclusions: list<item: string>
                        child 0, item: string
                    child 5, dependency_policy: string
              previous_part_count: int64
              images: list<item: struct<path: string, original_path: string, role: string, evidence: string>>
                child 0, item: struct<path: string, original_path: string, role: string, evidence: string>
                    child 0, path: string
                    child 1, original_path: string
                    child 2, role: string
                    child 3, evidence: string
              image: string
              image_count: int64
              raw_hipho_image_question: list<item: string>
                child 0, item: string
              to
              {'index': Value('string'), 'category': Value('string'), 'source_dataset': Value('string'), 'source_dataset_url': Value('null'), 'year': Value('int64'), 'problem_id': Value('string'), 'problem_number': Value('int64'), 'part_id': Value('string'), 'part_letter': Value('string'), 'subquestion_number': Value('int64'), 'formalization_input_policy': {'previous_parts': Value('string'), 'images': Value('string'), 'answers': Value('string')}, 'context': Value('string'), 'current_question': Value('string'), 'question': Value('string'), 'answer': Value('string'), 'answers': List(Value('string')), 'answer_type': List(Value('string')), 'unit': List(Value('null')), 'points': List(Value('float64')), 'marking': List(List(Value('string'))), 'modality': Value('string'), 'field': Value('string'), 'source': Value('string'), 'previous_parts': List({'source_id': Value('string'), 'part_id': Value('string'), 'question': Value('string'), 'answer': Value('string'), 'reusable_conclusions': List(Value('string')), 'dependency_policy': Value('string'), 'dependency_confidence': Value('string'), 'review_note': Value('string')}), 'previous_part_count': Value('int64'), 'images': List({'original_path': Value('string'), 'role': Value('string'), 'evidence': Value('string'), 'page': Value('int64'), 'caption': Value('string'), 'path': Value('string')}), 'image': Value('string'), 'image_count': Value('int64')}
              because column names don't match