Datasets:

owenarink
/

kaggle-commonsense

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 4 new columns ({'FalseSent', 'OptionB', 'OptionA', 'OptionC'}) and 1 missing columns ({'answer'}).

This happened while the csv dataset builder was generating data using

hf://datasets/owenarink/kaggle-commonsense/train_data.csv (at revision 5dd895bcf2d47ab52a5952f44548c787b047a418), [/tmp/hf-datasets-cache/medium/datasets/47368469329365-config-parquet-and-info-owenarink-kaggle-commonse-2c244ebc/hub/datasets--owenarink--kaggle-commonsense/snapshots/5dd895bcf2d47ab52a5952f44548c787b047a418/train_answers.csv (origin=hf://datasets/owenarink/kaggle-commonsense@5dd895bcf2d47ab52a5952f44548c787b047a418/train_answers.csv), /tmp/hf-datasets-cache/medium/datasets/47368469329365-config-parquet-and-info-owenarink-kaggle-commonse-2c244ebc/hub/datasets--owenarink--kaggle-commonsense/snapshots/5dd895bcf2d47ab52a5952f44548c787b047a418/train_data.csv (origin=hf://datasets/owenarink/kaggle-commonsense@5dd895bcf2d47ab52a5952f44548c787b047a418/train_data.csv)]

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: string
              FalseSent: string
              OptionA: string
              OptionB: string
              OptionC: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 826
              to
              {'id': Value('string'), 'answer': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1892, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 4 new columns ({'FalseSent', 'OptionB', 'OptionA', 'OptionC'}) and 1 missing columns ({'answer'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/owenarink/kaggle-commonsense/train_data.csv (at revision 5dd895bcf2d47ab52a5952f44548c787b047a418), [/tmp/hf-datasets-cache/medium/datasets/47368469329365-config-parquet-and-info-owenarink-kaggle-commonse-2c244ebc/hub/datasets--owenarink--kaggle-commonsense/snapshots/5dd895bcf2d47ab52a5952f44548c787b047a418/train_answers.csv (origin=hf://datasets/owenarink/kaggle-commonsense@5dd895bcf2d47ab52a5952f44548c787b047a418/train_answers.csv), /tmp/hf-datasets-cache/medium/datasets/47368469329365-config-parquet-and-info-owenarink-kaggle-commonse-2c244ebc/hub/datasets--owenarink--kaggle-commonsense/snapshots/5dd895bcf2d47ab52a5952f44548c787b047a418/train_data.csv (origin=hf://datasets/owenarink/kaggle-commonsense@5dd895bcf2d47ab52a5952f44548c787b047a418/train_data.csv)]
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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.

id string	answer string
sentence_1	C
sentence_2	B
sentence_3	C
sentence_4	B
sentence_5	C
sentence_6	B
sentence_7	A
sentence_8	B
sentence_9	C
sentence_10	B
sentence_11	C
sentence_12	C
sentence_13	B
sentence_14	B
sentence_15	C
sentence_16	A
sentence_17	B
sentence_18	A
sentence_19	A
sentence_20	B
sentence_21	B
sentence_22	B
sentence_23	C
sentence_24	C
sentence_25	A
sentence_26	B
sentence_27	A
sentence_28	C
sentence_29	B
sentence_30	C
sentence_31	C
sentence_32	A
sentence_33	C
sentence_34	C
sentence_35	C
sentence_36	A
sentence_37	A
sentence_38	B
sentence_39	A
sentence_40	B
sentence_41	C
sentence_42	B
sentence_43	C
sentence_44	C
sentence_45	B
sentence_46	B
sentence_47	A
sentence_48	A
sentence_49	C
sentence_50	B
sentence_51	A
sentence_52	B
sentence_53	C
sentence_54	B
sentence_55	A
sentence_56	A
sentence_57	C
sentence_58	B
sentence_59	A
sentence_60	B
sentence_61	B
sentence_62	C
sentence_63	A
sentence_64	B
sentence_65	B
sentence_66	B
sentence_67	A
sentence_68	A
sentence_69	A
sentence_70	C
sentence_71	C
sentence_72	C
sentence_73	A
sentence_74	C
sentence_75	B
sentence_76	B
sentence_77	C
sentence_78	A
sentence_79	A
sentence_80	A
sentence_81	A
sentence_82	B
sentence_83	A
sentence_84	A
sentence_85	C
sentence_86	C
sentence_87	A
sentence_88	A
sentence_89	A
sentence_90	C
sentence_91	B
sentence_92	A
sentence_93	C
sentence_94	A
sentence_95	C
sentence_96	B
sentence_97	C
sentence_98	C
sentence_99	A
sentence_100	A

End of preview.

Kaggle Commonsense

This dataset contains the course-project data used in the kaggle_commonsense repository for commonsense reasoning with multiple-choice repairs.

Dataset Description

Each example contains:

an id
one false sentence in FalseSent
three candidate repairs in OptionA, OptionB, and OptionC

For training, the correct answer label is provided in train_answers.csv.

Files

train_data.csv: training inputs
train_answers.csv: training labels
test_data.csv: test inputs
sample.csv: sample submission format

Task

The task is to select the correct answer (A, B, or C) that best repairs the false sentence.

Example:

False sentence: The sun rises in the west.
A: The sun rises in the east.
B: The sun sets in the west.
C: The sun shines at night.

Correct answer: A

Notes

This is a task-specific academic dataset from a course competition setup. It should not be treated as a broadly standardized benchmark.

Downloads last month: 30

Total file size:

1.99 MB

Models trained or fine-tuned on owenarink/kaggle-commonsense

owenarink/attentiontypes-commonsense

Text Classification • 7.81M • Updated Apr 1 • 7