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The dataset generation failed because of a cast error
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 31 new columns ({'hand_graded_deflection_count', 'name', 'hand_graded_deflection_ambiguous', 'corpus_review_count', 'reply_rate_negative_ci95_high', 'category', 'reply_rate_all_n', 'reply_rate_negative_n', 'chain', 'hand_graded_remedy_pct', 'google_score', 'hand_graded_apology_count', 'mean_stars_corpus', 'hand_graded_n', 'reply_rate_negative_ci95_low', 'hand_graded_remedy_ambiguous', 'one_star_count', 'reply_rate_all_ci95_low', 'hand_graded_remedy_count', 'hand_graded_generic_pct', 'hand_graded_generic_ambiguous', 'hand_graded_apology_pct', 'reply_rate_all_ci95_high', 'reply_rate_all', 'hand_graded_deflection_pct', 'city', 'hand_graded_apology_ambiguous', 'google_review_count', 'two_star_count', 'hand_graded_generic_count', 'placeId'}) and 2 missing columns ({'shop_count', 'replied_count'}).
This happened while the csv dataset builder was generating data using
hf://datasets/PixelLabsLLC/west-georgia-auto-shop-review-response-dataset/dataset.csv (at revision 01bde35c6bf4ce93e8f6a00def2cd83bd5417ba5), ['hf://datasets/PixelLabsLLC/west-georgia-auto-shop-review-response-dataset@01bde35c6bf4ce93e8f6a00def2cd83bd5417ba5/county-benchmarks.csv', 'hf://datasets/PixelLabsLLC/west-georgia-auto-shop-review-response-dataset@01bde35c6bf4ce93e8f6a00def2cd83bd5417ba5/dataset.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/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
placeId: string
name: string
city: string
county: string
category: string
chain: bool
google_score: double
google_review_count: int64
corpus_review_count: int64
mean_stars_corpus: double
one_star_count: int64
two_star_count: int64
negative_review_count: int64
reply_rate_all: double
reply_rate_all_n: int64
reply_rate_all_ci95_low: double
reply_rate_all_ci95_high: double
reply_rate_negative: double
reply_rate_negative_n: int64
reply_rate_negative_ci95_low: double
reply_rate_negative_ci95_high: double
hand_graded_n: int64
hand_graded_apology_count: int64
hand_graded_apology_pct: double
hand_graded_apology_ambiguous: int64
hand_graded_remedy_count: int64
hand_graded_remedy_pct: double
hand_graded_remedy_ambiguous: int64
hand_graded_generic_count: int64
hand_graded_generic_pct: double
hand_graded_generic_ambiguous: int64
hand_graded_deflection_count: int64
hand_graded_deflection_pct: double
hand_graded_deflection_ambiguous: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 4939
to
{'county': Value('string'), 'shop_count': Value('int64'), 'negative_review_count': Value('int64'), 'replied_count': Value('int64'), 'reply_rate_negative': Value('float64')}
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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 31 new columns ({'hand_graded_deflection_count', 'name', 'hand_graded_deflection_ambiguous', 'corpus_review_count', 'reply_rate_negative_ci95_high', 'category', 'reply_rate_all_n', 'reply_rate_negative_n', 'chain', 'hand_graded_remedy_pct', 'google_score', 'hand_graded_apology_count', 'mean_stars_corpus', 'hand_graded_n', 'reply_rate_negative_ci95_low', 'hand_graded_remedy_ambiguous', 'one_star_count', 'reply_rate_all_ci95_low', 'hand_graded_remedy_count', 'hand_graded_generic_pct', 'hand_graded_generic_ambiguous', 'hand_graded_apology_pct', 'reply_rate_all_ci95_high', 'reply_rate_all', 'hand_graded_deflection_pct', 'city', 'hand_graded_apology_ambiguous', 'google_review_count', 'two_star_count', 'hand_graded_generic_count', 'placeId'}) and 2 missing columns ({'shop_count', 'replied_count'}).
This happened while the csv dataset builder was generating data using
hf://datasets/PixelLabsLLC/west-georgia-auto-shop-review-response-dataset/dataset.csv (at revision 01bde35c6bf4ce93e8f6a00def2cd83bd5417ba5), ['hf://datasets/PixelLabsLLC/west-georgia-auto-shop-review-response-dataset@01bde35c6bf4ce93e8f6a00def2cd83bd5417ba5/county-benchmarks.csv', 'hf://datasets/PixelLabsLLC/west-georgia-auto-shop-review-response-dataset@01bde35c6bf4ce93e8f6a00def2cd83bd5417ba5/dataset.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.
county string | shop_count int64 | negative_review_count int64 | replied_count int64 | reply_rate_negative float64 |
|---|---|---|---|---|
Paulding | 19 | 172 | 96 | 0.5581 |
Haralson | 9 | 56 | 2 | 0.0357 |
Carroll | 21 | 235 | 44 | 0.1872 |
Douglas | 18 | 226 | 104 | 0.4602 |
Heard | 1 | 3 | 3 | 1 |
ALL_FIVE_COUNTIES | 68 | 692 | 249 | 0.3598 |
Carroll | null | 4 | null | 0 |
Carroll | null | 2 | null | 0 |
Carroll | null | 5 | null | 0.2 |
Carroll | null | 9 | null | 0.8889 |
Carroll | null | 49 | null | 0 |
Carroll | null | 10 | null | 0.8 |
Carroll | null | 2 | null | 1 |
Carroll | null | 5 | null | 1 |
Carroll | null | 17 | null | 0.2353 |
Carroll | null | 7 | null | 0.7143 |
Carroll | null | 40 | null | 0 |
Carroll | null | 0 | null | null |
Carroll | null | 4 | null | 0.25 |
Carroll | null | 14 | null | 0.1429 |
Carroll | null | 11 | null | 0 |
Carroll | null | 2 | null | 1 |
Carroll | null | 5 | null | 0.8 |
Carroll | null | 12 | null | 0.1667 |
Carroll | null | 11 | null | 0 |
Carroll | null | 25 | null | 0 |
Carroll | null | 1 | null | 0 |
Douglas | null | 3 | null | 0.3333 |
Douglas | null | 19 | null | 0.9474 |
Douglas | null | 4 | null | 0 |
Douglas | null | 20 | null | 0 |
Douglas | null | 3 | null | 1 |
Douglas | null | 0 | null | null |
Douglas | null | 3 | null | 1 |
Douglas | null | 2 | null | 0.5 |
Douglas | null | 3 | null | 0 |
Douglas | null | 8 | null | 1 |
Douglas | null | 17 | null | 0.8824 |
Douglas | null | 69 | null | 0 |
Douglas | null | 6 | null | 0.3333 |
Douglas | null | 1 | null | 1 |
Douglas | null | 25 | null | 0.92 |
Douglas | null | 16 | null | 1 |
Douglas | null | 13 | null | 0 |
Douglas | null | 14 | null | 0.9286 |
Haralson | null | 10 | null | 0.1 |
Haralson | null | 2 | null | 0 |
Haralson | null | 8 | null | 0 |
Haralson | null | 31 | null | 0 |
Haralson | null | 1 | null | 1 |
Haralson | null | 0 | null | null |
Haralson | null | 4 | null | 0 |
Haralson | null | 0 | null | null |
Haralson | null | 0 | null | null |
Heard | null | 3 | null | 1 |
Paulding | null | 21 | null | 0.2857 |
Paulding | null | 3 | null | 1 |
Paulding | null | 5 | null | 0.2 |
Paulding | null | 3 | null | 0.6667 |
Paulding | null | 18 | null | 1 |
Paulding | null | 1 | null | 0 |
Paulding | null | 17 | null | 0.0588 |
Paulding | null | 0 | null | null |
Paulding | null | 2 | null | 0 |
Paulding | null | 9 | null | 1 |
Paulding | null | 9 | null | 0.4444 |
Paulding | null | 10 | null | 0.9 |
Paulding | null | 3 | null | 1 |
Paulding | null | 2 | null | 0.5 |
Paulding | null | 2 | null | 1 |
Paulding | null | 3 | null | 1 |
Paulding | null | 31 | null | 0.4516 |
Paulding | null | 22 | null | 0.9091 |
Paulding | null | 11 | null | 0 |