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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: TypeError
Message: Couldn't cast array of type
struct<Detail Task: string, Options: struct<A: string, B: string, C: string, D: string>, Question: string, Question ID: string, Question Task: string, Question Type: string, Timestamp(answer question time1): string, Timestamp(answer question time2): string, Timestamp(answer question time3): string, Timestamp(answer question time4): string, Timestamp(begin question): string, Timestamp(event_end): string, Timestamp(event_start): string, Video: string, time1_Correct Answer: string, time2_Correct Answer: string, time3_Correct Answer: string, time4_Correct Answer: string>
to
{'Detail Task': Value('string'), 'Options': {'A': Value('string'), 'B': Value('string'), 'C': Value('string'), 'D': Value('string')}, 'Question': Value('string'), 'Question ID': Value('string'), 'Question Task': Value('string'), 'Question Type': Value('string'), 'Timestamp(answer question time1)': Value('string'), 'Timestamp(answer question time2)': Value('string'), 'Timestamp(begin question)': Value('string'), 'Timestamp(event_end)': Value('string'), 'Timestamp(event_start)': Value('string'), 'Video': Value('string'), 'time1_Correct Answer': Value('string'), 'time2_Correct Answer': Value('string'), 'Timestamp(answer question time3)': Value('string'), 'time3_Correct Answer': Value('string')}
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 2431, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1984, in _iter_arrow
pa_table = cast_table_to_features(pa_table, self.features)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2197, in cast_table_to_features
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2052, in cast_array_to_feature
casted_array_values = _c(array.values, feature.feature)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2092, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<Detail Task: string, Options: struct<A: string, B: string, C: string, D: string>, Question: string, Question ID: string, Question Task: string, Question Type: string, Timestamp(answer question time1): string, Timestamp(answer question time2): string, Timestamp(answer question time3): string, Timestamp(answer question time4): string, Timestamp(begin question): string, Timestamp(event_end): string, Timestamp(event_start): string, Video: string, time1_Correct Answer: string, time2_Correct Answer: string, time3_Correct Answer: string, time4_Correct Answer: string>
to
{'Detail Task': Value('string'), 'Options': {'A': Value('string'), 'B': Value('string'), 'C': Value('string'), 'D': Value('string')}, 'Question': Value('string'), 'Question ID': Value('string'), 'Question Task': Value('string'), 'Question Type': Value('string'), 'Timestamp(answer question time1)': Value('string'), 'Timestamp(answer question time2)': Value('string'), 'Timestamp(begin question)': Value('string'), 'Timestamp(event_end)': Value('string'), 'Timestamp(event_start)': Value('string'), 'Video': Value('string'), 'time1_Correct Answer': Value('string'), 'time2_Correct Answer': Value('string'), 'Timestamp(answer question time3)': Value('string'), 'time3_Correct Answer': Value('string')}Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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