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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
prompt: string
chosen: string
rejected: string
meta: struct<tradition: string, art: string, ref: string, language: string, concepts: list<item: string>,  (... 119 chars omitted)
  child 0, tradition: string
  child 1, art: string
  child 2, ref: string
  child 3, language: string
  child 4, concepts: list<item: string>
      child 0, item: string
  child 5, chosen_op: string
  child 6, rejected_op: string
  child 7, chosen_sim: double
  child 8, rejected_sim: double
  child 9, delta: double
  child 10, query_concept: string
name: string
version: string
total_training_pairs: int64
date: timestamp[s]
files: struct<training-ready-algebra.ndjson: struct<pairs: int64, category: string, description: string>, c (... 169 chars omitted)
  child 0, training-ready-algebra.ndjson: struct<pairs: int64, category: string, description: string>
      child 0, pairs: int64
      child 1, category: string
      child 2, description: string
  child 1, combined-seeds.ndjson: struct<pairs: int64, category: string, description: string>
      child 0, pairs: int64
      child 1, category: string
      child 2, description: string
  child 2, title-domain-orpo.ndjson: struct<pairs: int64, category: string, description: string>
      child 0, pairs: int64
      child 1, category: string
      child 2, description: string
to
{'name': Value('string'), 'version': Value('string'), 'date': Value('timestamp[s]'), 'files': {'training-ready-algebra.ndjson': {'pairs': Value('int64'), 'category': Value('string'), 'description': Value('string')}, 'combined-seeds.ndjson': {'pairs': Value('int64'), 'category': Value('string'), 'description': Value('string')}, 'title-domain-orpo.ndjson': {'pairs': Value('int64'), 'category': Value('string'), 'description': Value('string')}}, 'total_training_pairs': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 289, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 124, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              prompt: string
              chosen: string
              rejected: string
              meta: struct<tradition: string, art: string, ref: string, language: string, concepts: list<item: string>,  (... 119 chars omitted)
                child 0, tradition: string
                child 1, art: string
                child 2, ref: string
                child 3, language: string
                child 4, concepts: list<item: string>
                    child 0, item: string
                child 5, chosen_op: string
                child 6, rejected_op: string
                child 7, chosen_sim: double
                child 8, rejected_sim: double
                child 9, delta: double
                child 10, query_concept: string
              name: string
              version: string
              total_training_pairs: int64
              date: timestamp[s]
              files: struct<training-ready-algebra.ndjson: struct<pairs: int64, category: string, description: string>, c (... 169 chars omitted)
                child 0, training-ready-algebra.ndjson: struct<pairs: int64, category: string, description: string>
                    child 0, pairs: int64
                    child 1, category: string
                    child 2, description: string
                child 1, combined-seeds.ndjson: struct<pairs: int64, category: string, description: string>
                    child 0, pairs: int64
                    child 1, category: string
                    child 2, description: string
                child 2, title-domain-orpo.ndjson: struct<pairs: int64, category: string, description: string>
                    child 0, pairs: int64
                    child 1, category: string
                    child 2, description: string
              to
              {'name': Value('string'), 'version': Value('string'), 'date': Value('timestamp[s]'), 'files': {'training-ready-algebra.ndjson': {'pairs': Value('int64'), 'category': Value('string'), 'description': Value('string')}, 'combined-seeds.ndjson': {'pairs': Value('int64'), 'category': Value('string'), 'description': Value('string')}, 'title-domain-orpo.ndjson': {'pairs': Value('int64'), 'category': Value('string'), 'description': Value('string')}}, 'total_training_pairs': Value('int64')}
              because column names don't match

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