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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
instruction: string
input: string
output: string
source_file: string
topic: string
task_type: string
note: string
library_version: string
data_designer: struct<columns: list<item: struct<name: string, drop: bool, allow_resize: bool, column_type: string> (... 85 chars omitted)
child 0, columns: list<item: struct<name: string, drop: bool, allow_resize: bool, column_type: string>>
child 0, item: struct<name: string, drop: bool, allow_resize: bool, column_type: string>
child 0, name: string
child 1, drop: bool
child 2, allow_resize: bool
child 3, column_type: string
child 1, seed_config: struct<source: struct<seed_type: string>, sampling_strategy: string>
child 0, source: struct<seed_type: string>
child 0, seed_type: string
child 1, sampling_strategy: string
to
{'data_designer': {'columns': List({'name': Value('string'), 'drop': Value('bool'), 'allow_resize': Value('bool'), 'column_type': Value('string')}), 'seed_config': {'source': {'seed_type': Value('string')}, 'sampling_strategy': Value('string')}}, 'library_version': Value('string'), 'note': 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 "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 419, 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 310, 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 130, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
instruction: string
input: string
output: string
source_file: string
topic: string
task_type: string
note: string
library_version: string
data_designer: struct<columns: list<item: struct<name: string, drop: bool, allow_resize: bool, column_type: string> (... 85 chars omitted)
child 0, columns: list<item: struct<name: string, drop: bool, allow_resize: bool, column_type: string>>
child 0, item: struct<name: string, drop: bool, allow_resize: bool, column_type: string>
child 0, name: string
child 1, drop: bool
child 2, allow_resize: bool
child 3, column_type: string
child 1, seed_config: struct<source: struct<seed_type: string>, sampling_strategy: string>
child 0, source: struct<seed_type: string>
child 0, seed_type: string
child 1, sampling_strategy: string
to
{'data_designer': {'columns': List({'name': Value('string'), 'drop': Value('bool'), 'allow_resize': Value('bool'), 'column_type': Value('string')}), 'seed_config': {'source': {'seed_type': Value('string')}, 'sampling_strategy': Value('string')}}, 'library_version': Value('string'), 'note': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
ML Kolokwium Dataset
Dataset Alpaca/Unsloth do fine-tuningu Gemma 4 E4B-IT pod kolokwium z uczenia maszynowego w Pythonie.
Model ma uczyć się: dostaję URL/dataset, rozpoznaję typ problemu, wykonuję EDA, preprocessing, model/metodę i ocenę.
Kolumny:
- instruction
- input
- output
- source_file
- topic
- task_type
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