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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 2 new columns ({'region', 'reference_media'}) and 4 missing columns ({'decision', 'notes', 'status', 'assigned_service'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Roy229/huggingface_9690_12bb8b01/product_catalog.csv (at revision 1d9a6c3a94674df184279dc049153582afb8e0ea), ['hf://datasets/Roy229/huggingface_9690_12bb8b01@1d9a6c3a94674df184279dc049153582afb8e0ea/output/media_production_plan.csv', 'hf://datasets/Roy229/huggingface_9690_12bb8b01@1d9a6c3a94674df184279dc049153582afb8e0ea/product_catalog.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
product_id: string
product_name: string
category: string
region: string
priority: string
media_status: string
media_type: string
reference_media: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1240
to
{'product_id': Value('string'), 'product_name': Value('string'), 'category': Value('string'), 'priority': Value('string'), 'media_status': Value('string'), 'media_type': Value('string'), 'decision': Value('string'), 'assigned_service': Value('string'), 'status': Value('string'), 'notes': 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 2 new columns ({'region', 'reference_media'}) and 4 missing columns ({'decision', 'notes', 'status', 'assigned_service'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Roy229/huggingface_9690_12bb8b01/product_catalog.csv (at revision 1d9a6c3a94674df184279dc049153582afb8e0ea), ['hf://datasets/Roy229/huggingface_9690_12bb8b01@1d9a6c3a94674df184279dc049153582afb8e0ea/output/media_production_plan.csv', 'hf://datasets/Roy229/huggingface_9690_12bb8b01@1d9a6c3a94674df184279dc049153582afb8e0ea/product_catalog.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.
product_id string | product_name string | category string | priority string | media_status string | media_type string | decision string | assigned_service string | status string | notes null |
|---|---|---|---|---|---|---|---|---|---|
P-1001 | Aloe Soothing Gel | Skincare | High | missing | image | produce | image_generation | scheduled | null |
P-1002 | Citrus Energy Drink | Beverage | High | ready | voiceover | validate | null | no_action | null |
P-1003 | Choco Protein Bar | Snack | Medium | missing | image | defer | null | no_action | null |
P-1004 | Lavender Home Diffuser | Home | High | missing | image | produce | image_generation | scheduled | null |
P-1005 | Green Tea Cleanser | Skincare | Low | ready | image | defer | null | no_action | null |
P-1006 | Coconut Sparkling Water | Beverage | High | missing | voiceover | produce | text_to_speech | scheduled | null |
P-1007 | Vanilla Oat Milk | Beverage | Medium | ready | voiceover | defer | null | no_action | null |
P-1008 | Cedarwood Candle | Home | High | missing | image | produce | image_generation | scheduled | null |
P-1009 | Matcha Latte Mix | Beverage | High | ready | image | validate | null | no_action | null |
P-1010 | Peppermint Hand Cream | Skincare | Medium | missing | image | defer | null | no_action | null |
P-1011 | Honey Roasted Nuts | Snack | High | missing | voiceover | produce | text_to_speech | scheduled | null |
P-1012 | Charcoal Face Mask | Skincare | Low | missing | image | defer | null | no_action | null |
P-1001 | Aloe Soothing Gel | Skincare | High | missing | image | null | null | null | null |
P-1002 | Citrus Energy Drink | Beverage | High | ready | voiceover | null | null | null | null |
P-1003 | Choco Protein Bar | Snack | Medium | missing | image | null | null | null | null |
P-1004 | Lavender Home Diffuser | Home | High | missing | image | null | null | null | null |
P-1005 | Green Tea Cleanser | Skincare | Low | ready | image | null | null | null | null |
P-1006 | Coconut Sparkling Water | Beverage | High | missing | voiceover | null | null | null | null |
P-1007 | Vanilla Oat Milk | Beverage | Medium | ready | voiceover | null | null | null | null |
P-1008 | Cedarwood Candle | Home | High | missing | image | null | null | null | null |
P-1009 | Matcha Latte Mix | Beverage | High | ready | image | null | null | null | null |
P-1010 | Peppermint Hand Cream | Skincare | Medium | missing | image | null | null | null | null |
P-1011 | Honey Roasted Nuts | Snack | High | missing | voiceover | null | null | null | null |
P-1012 | Charcoal Face Mask | Skincare | Low | missing | image | null | null | null | null |
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