Dataset Viewer
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<gsm8k: struct<256: struct<checkpoint-100: double, checkpoint-1000: double, checkpoint-1100: double, checkpoint-1200: double, checkpoint-1300: double, checkpoint-1400: double, checkpoint-1500: double, checkpoint-1600: double, checkpoint-1700: double, checkpoint-1800: double, checkpoint-1900: double, checkpoint-200: double, checkpoint-2000: double, checkpoint-300: double, checkpoint-400: double, checkpoint-500: double, checkpoint-600: double, checkpoint-700: double, checkpoint-800: double, checkpoint-900: double>, 512: struct<checkpoint-100: double, checkpoint-1000: double, checkpoint-1100: double, checkpoint-1200: double, checkpoint-1300: double, checkpoint-1400: double, checkpoint-1500: double, checkpoint-1600: double, checkpoint-1700: double, checkpoint-1800: double, checkpoint-1900: double, checkpoint-200: double, checkpoint-2000: double, checkpoint-300: double, checkpoint-400: double, checkpoint-500: double, checkpoint-600: double, checkpoint-700: double, checkpoint-800: double, checkpoint-900: double>>>
to
{'humaneval': {'256': {'checkpoint-100': Value('float64'), 'checkpoint-1000': Value('float64'), 'checkpoint-1100': Value('float64'), 'checkpoint-1200': Value('float64'), 'checkpoint-1300': Value('float64'), 'checkpoint-1400': Value('float64'), 'checkpoint-1500': Value('float64'), 'checkpoint-1600': Value('float64'), 'checkpoint-1700': Value('float64'), 'checkpoint-1800': Value('float64'), 'checkpoint-1900': Value('float64'), 'checkpoint-200': Value('float64'), 'checkpoint-2000': Value('float64'), 'checkpoint-300': Value('float64'), 'checkpoint-400': Value('float64'), 'checkpoint-500': Value('float64'), 'checkpoint-600': Value('float64'), 'checkpoint-700': Value('float64'), 'checkpoint-800': Value('float64'), 'checkpoint-900': Value('float64')}, '512': {'checkpoint-100': Value('float64'), 'checkpoint-1000': Value('float64'), 'checkpoint-1100': Value('float64'), 'checkpoint-1200': Value('float64'), 'checkpoint-1300': Value('float64'), 'checkpoint-1400': Value('float64'), 'checkpoint-1500': Value('float64'), 'checkpoint-1600': Value('float64'), 'checkpoint-1700': Value('float64'), 'checkpoint-1800': Value('float64'), 'checkpoint-1900': Value('float64'), 'checkpoint-200': Value('float64'), 'checkpoint-2000': Value('float64'), 'checkpoint-300': Value('float64'), 'checkpoint-400': Value('float64'), 'checkpoint-500': Value('float64'), 'checkpoint-600': Value('float64'), 'checkpoint-700': Value('float64'), 'checkpoint-800': Value('float64'), 'checkpoint-900': Value('float64')}}, 'mbpp': {'256': {'checkpoint-100': Value('float64'), 'checkpoint-1000': Value('float64')}, '512': {'checkpoint-100': Value('float64')}}}
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<gsm8k: struct<256: struct<checkpoint-100: double, checkpoint-1000: double, checkpoint-1100: double, checkpoint-1200: double, checkpoint-1300: double, checkpoint-1400: double, checkpoint-1500: double, checkpoint-1600: double, checkpoint-1700: double, checkpoint-1800: double, checkpoint-1900: double, checkpoint-200: double, checkpoint-2000: double, checkpoint-300: double, checkpoint-400: double, checkpoint-500: double, checkpoint-600: double, checkpoint-700: double, checkpoint-800: double, checkpoint-900: double>, 512: struct<checkpoint-100: double, checkpoint-1000: double, checkpoint-1100: double, checkpoint-1200: double, checkpoint-1300: double, checkpoint-1400: double, checkpoint-1500: double, checkpoint-1600: double, checkpoint-1700: double, checkpoint-1800: double, checkpoint-1900: double, checkpoint-200: double, checkpoint-2000: double, checkpoint-300: double, checkpoint-400: double, checkpoint-500: double, checkpoint-600: double, checkpoint-700: double, checkpoint-800: double, checkpoint-900: double>>>
to
{'humaneval': {'256': {'checkpoint-100': Value('float64'), 'checkpoint-1000': Value('float64'), 'checkpoint-1100': Value('float64'), 'checkpoint-1200': Value('float64'), 'checkpoint-1300': Value('float64'), 'checkpoint-1400': Value('float64'), 'checkpoint-1500': Value('float64'), 'checkpoint-1600': Value('float64'), 'checkpoint-1700': Value('float64'), 'checkpoint-1800': Value('float64'), 'checkpoint-1900': Value('float64'), 'checkpoint-200': Value('float64'), 'checkpoint-2000': Value('float64'), 'checkpoint-300': Value('float64'), 'checkpoint-400': Value('float64'), 'checkpoint-500': Value('float64'), 'checkpoint-600': Value('float64'), 'checkpoint-700': Value('float64'), 'checkpoint-800': Value('float64'), 'checkpoint-900': Value('float64')}, '512': {'checkpoint-100': Value('float64'), 'checkpoint-1000': Value('float64'), 'checkpoint-1100': Value('float64'), 'checkpoint-1200': Value('float64'), 'checkpoint-1300': Value('float64'), 'checkpoint-1400': Value('float64'), 'checkpoint-1500': Value('float64'), 'checkpoint-1600': Value('float64'), 'checkpoint-1700': Value('float64'), 'checkpoint-1800': Value('float64'), 'checkpoint-1900': Value('float64'), 'checkpoint-200': Value('float64'), 'checkpoint-2000': Value('float64'), 'checkpoint-300': Value('float64'), 'checkpoint-400': Value('float64'), 'checkpoint-500': Value('float64'), 'checkpoint-600': Value('float64'), 'checkpoint-700': Value('float64'), 'checkpoint-800': Value('float64'), 'checkpoint-900': Value('float64')}}, 'mbpp': {'256': {'checkpoint-100': Value('float64'), 'checkpoint-1000': Value('float64')}, '512': {'checkpoint-100': Value('float64')}}}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.
No dataset card yet
- Downloads last month
- 20