Dataset Viewer
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
Date_format: string
Question: string
Answer: string
Option A: string
Option B: string
Option C: string
Task: string
Source: string
Language: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1296
to
{'Date_format': Value('string'), 'Question': Value('string'), 'Answer': Value('string'), 'Option A': Value('string'), 'Option B': Value('string'), 'Option C': Value('string'), 'Task': Value('string'), 'Source': Value('string')}
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2361, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1914, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2192, in cast_table_to_features
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Date_format: string
              Question: string
              Answer: string
              Option A: string
              Option B: string
              Option C: string
              Task: string
              Source: string
              Language: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1296
              to
              {'Date_format': Value('string'), 'Question': Value('string'), 'Answer': Value('string'), 'Option A': Value('string'), 'Option B': Value('string'), 'Option C': Value('string'), 'Task': Value('string'), 'Source': Value('string')}
              because column names don't match

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MultiTempBench (core 5 splits)

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