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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<('submission', 'LlamaForCausalLM', '4_answer_MCQA', 'answer'): struct<average_accuracy: double, highest_accuracy: double, method_name: string, model_name: string, task_name: string, target_variables: string>, ('submission', 'LlamaForCausalLM', '4_answer_MCQA', 'answer_pointer'): struct<average_accuracy: double, highest_accuracy: double, method_name: string, model_name: string, task_name: string, target_variables: string>, ('submission', 'LlamaForCausalLM', 'ARC_easy', 'answer'): struct<average_accuracy: double, highest_accuracy: double, method_name: string, model_name: string, task_name: string, target_variables: string>>
to
{"('submission', 'LlamaForCausalLM', '4_answer_MCQA', 'answer')": {'average_accuracy': Value('float64'), 'highest_accuracy': Value('float64'), 'method_name': Value('string'), 'model_name': Value('string'), 'task_name': Value('string'), 'target_variables': 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 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 295, 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 128, 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 2281, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2233, in cast_table_to_schema
cast_array_to_feature(
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1804, 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 2101, 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<('submission', 'LlamaForCausalLM', '4_answer_MCQA', 'answer'): struct<average_accuracy: double, highest_accuracy: double, method_name: string, model_name: string, task_name: string, target_variables: string>, ('submission', 'LlamaForCausalLM', '4_answer_MCQA', 'answer_pointer'): struct<average_accuracy: double, highest_accuracy: double, method_name: string, model_name: string, task_name: string, target_variables: string>, ('submission', 'LlamaForCausalLM', 'ARC_easy', 'answer'): struct<average_accuracy: double, highest_accuracy: double, method_name: string, model_name: string, task_name: string, target_variables: string>>
to
{"('submission', 'LlamaForCausalLM', '4_answer_MCQA', 'answer')": {'average_accuracy': Value('float64'), 'highest_accuracy': Value('float64'), 'method_name': Value('string'), 'model_name': Value('string'), 'task_name': Value('string'), 'target_variables': 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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