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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 10 new columns ({'created_at', 'severity', 'status', 'impact', 'assignee', 'channel', 'subject', 'customer_tier', 'ticket_id', 'category'}) and 9 missing columns ({'product_category', 'region', 'sentiment', 'feedback_id', 'submitted_date', 'topic', 'priority', 'action', 'rating'}).
This happened while the csv dataset builder was generating data using
hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b/filesystem_huggingface_9798_ru739el1/source/tickets.csv (at revision 985dc7dd41a50b273a9d0b9361bd6646264c5ecd), ['hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9797_8b7e9423/output/feedback_analysis.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9798_ru739el1/source/tickets.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9798_ru739el1/triage_report.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9800_49245b86_feedback/digest/digest.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9819_7bfa6e61/output/review_report.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9835_ocpon3a3/published/consolidated_feedback.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9835_ocpon3a3/source/east_feedback.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9835_ocpon3a3/source/north_feedback.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9835_ocpon3a3/source/south_feedback.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9837_xk4q9p2m/source/raw_feedback.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9867_66f41986/moderation_decisions.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9876_3poggzkc/triage_report.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9876_fmqr9dxz/triage_report.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9876_lf3x631t/triage_report.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9876_umhcrdjn/triage_report.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_terminal_huggingface_9433_3bc2a4/tickets.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_terminal_huggingface_9433_3bc2a4/triage_report.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/huggingface_filesystem_9811_0o01mw/customer_feedback.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/huggingface_filesystem_9812_k7q2m4/tickets.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
ticket_id: string
customer_id: string
customer_tier: string
category: string
severity: string
impact: string
status: string
created_at: string
channel: string
assignee: string
subject: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1564
to
{'feedback_id': Value('string'), 'customer_id': Value('string'), 'product_category': Value('string'), 'rating': Value('int64'), 'topic': Value('string'), 'region': Value('string'), 'submitted_date': Value('string'), 'sentiment': Value('string'), 'priority': Value('string'), 'action': 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 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 10 new columns ({'created_at', 'severity', 'status', 'impact', 'assignee', 'channel', 'subject', 'customer_tier', 'ticket_id', 'category'}) and 9 missing columns ({'product_category', 'region', 'sentiment', 'feedback_id', 'submitted_date', 'topic', 'priority', 'action', 'rating'}).
This happened while the csv dataset builder was generating data using
hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b/filesystem_huggingface_9798_ru739el1/source/tickets.csv (at revision 985dc7dd41a50b273a9d0b9361bd6646264c5ecd), ['hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9797_8b7e9423/output/feedback_analysis.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9798_ru739el1/source/tickets.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9798_ru739el1/triage_report.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9800_49245b86_feedback/digest/digest.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9819_7bfa6e61/output/review_report.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9835_ocpon3a3/published/consolidated_feedback.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9835_ocpon3a3/source/east_feedback.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9835_ocpon3a3/source/north_feedback.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9835_ocpon3a3/source/south_feedback.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9837_xk4q9p2m/source/raw_feedback.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9867_66f41986/moderation_decisions.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9876_3poggzkc/triage_report.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9876_fmqr9dxz/triage_report.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9876_lf3x631t/triage_report.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_huggingface_9876_umhcrdjn/triage_report.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_terminal_huggingface_9433_3bc2a4/tickets.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/filesystem_terminal_huggingface_9433_3bc2a4/triage_report.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/huggingface_filesystem_9811_0o01mw/customer_feedback.csv', 'hf://datasets/TianfuXinqu/filesystem_huggingface_5053_xgvl6k4b@985dc7dd41a50b273a9d0b9361bd6646264c5ecd/huggingface_filesystem_9812_k7q2m4/tickets.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.
feedback_id string | customer_id string | product_category string | rating int64 | topic string | region string | submitted_date string | sentiment string | priority string | action string |
|---|---|---|---|---|---|---|---|---|---|
FB-1001 | CUST-2001 | Electronics | 2 | quality | null | 2026-08-01 | negative | medium | follow_up |
FB-1002 | CUST-2002 | Apparel | 5 | product | EU | 2026-08-01 | positive | low | acknowledge |
FB-1003 | CUST-2003 | Home | 1 | billing | null | 2026-08-02 | negative | high | escalate |
FB-1004 | CUST-2004 | Electronics | 3 | shipping | APAC | 2026-08-02 | neutral | medium | monitor |
FB-1005 | CUST-2005 | Beauty | 4 | quality | EU | 2026-08-03 | positive | low | acknowledge |
FB-1006 | CUST-2006 | Sports | 2 | shipping | null | 2026-08-03 | negative | high | escalate |
FB-1007 | CUST-2007 | Apparel | 1 | support | EU | 2026-08-04 | negative | medium | follow_up |
FB-1008 | CUST-2008 | Home | 5 | product | APAC | 2026-08-05 | positive | low | acknowledge |
FB-1009 | CUST-2009 | Electronics | 2 | quality | null | 2026-08-06 | negative | medium | follow_up |
FB-1010 | CUST-2010 | Beauty | 3 | product | EU | 2026-08-07 | neutral | medium | monitor |
FB-1011 | CUST-2011 | Sports | 4 | quality | null | 2026-08-08 | positive | low | acknowledge |
FB-1012 | CUST-2012 | Home | 2 | billing | APAC | 2026-08-09 | negative | high | escalate |
FB-1013 | CUST-2013 | Electronics | 5 | support | EU | 2026-08-10 | positive | low | acknowledge |
FB-1014 | CUST-2014 | Apparel | 1 | shipping | null | 2026-08-11 | negative | high | escalate |
FB-1015 | CUST-2015 | Beauty | 3 | shipping | APAC | 2026-08-12 | neutral | medium | monitor |
FB-1016 | CUST-2016 | Sports | 4 | product | EU | 2026-08-13 | positive | low | acknowledge |
FB-1017 | CUST-2017 | Home | 5 | shipping | null | 2026-08-14 | positive | low | acknowledge |
FB-1018 | CUST-2018 | Electronics | 2 | shipping | APAC | 2026-08-15 | negative | high | escalate |
null | CUST-2226 | null | null | null | null | null | null | null | null |
null | CUST-4012 | null | null | null | null | null | null | null | null |
null | CUST-4773 | null | null | null | null | null | null | null | null |
null | CUST-4705 | null | null | null | null | null | null | null | null |
null | CUST-2350 | null | null | null | null | null | null | null | null |
null | CUST-3613 | null | null | null | null | null | null | null | null |
null | CUST-3363 | null | null | null | null | null | null | null | null |
null | CUST-4544 | null | null | null | null | null | null | null | null |
null | CUST-4880 | null | null | null | null | null | null | null | null |
null | CUST-2396 | null | null | null | null | null | null | null | null |
null | CUST-4446 | null | null | null | null | null | null | null | null |
null | CUST-2122 | null | null | null | null | null | null | null | null |
null | CUST-2330 | null | null | null | null | null | null | null | null |
null | CUST-3360 | null | null | null | null | null | null | null | null |
null | CUST-4351 | null | null | null | null | null | null | null | null |
null | CUST-3682 | null | null | null | null | null | null | null | null |
null | CUST-3816 | null | null | null | null | null | null | null | null |
null | CUST-2115 | null | null | null | null | null | null | null | null |
null | CUST-2593 | null | null | null | null | null | null | null | null |
null | CUST-2388 | null | null | null | null | null | null | null | null |
null | CUST-4016 | null | null | null | null | null | null | null | null |
null | CUST-2099 | null | null | null | null | null | null | null | null |
null | CUST-2868 | null | null | null | null | null | null | null | null |
null | CUST-2378 | null | null | null | null | null | null | null | null |
null | CUST-4178 | null | null | null | null | null | null | null | null |
null | CUST-3821 | null | null | null | null | null | null | null | null |
null | CUST-3834 | null | null | null | null | null | null | null | null |
null | CUST-2811 | null | null | null | null | null | null | null | null |
null | CUST-3290 | null | null | null | null | null | null | null | null |
null | CUST-2624 | null | null | null | null | null | null | null | null |
null | CUST-3439 | null | null | null | null | null | null | null | null |
null | CUST-4033 | null | null | null | null | null | null | null | null |
null | CUST-4414 | null | null | null | null | null | null | null | null |
null | CUST-3730 | null | null | null | null | null | null | null | null |
null | CUST-3898 | null | null | null | null | null | null | null | null |
null | CUST-4428 | null | null | null | null | null | null | null | null |
null | CUST-4088 | null | null | null | null | null | null | null | null |
null | CUST-4410 | null | null | null | null | null | null | null | null |
null | CUST-3375 | null | null | null | null | null | null | null | null |
null | CUST-2986 | null | null | null | null | null | null | null | null |
null | CUST-3281 | null | null | null | null | null | null | null | null |
null | CUST-3383 | null | null | null | null | null | null | null | null |
null | CUST-4119 | null | null | null | null | null | null | null | null |
null | CUST-2990 | null | null | null | null | null | null | null | null |
null | CUST-2788 | null | null | null | null | null | null | null | null |
null | CUST-4242 | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | P3 | null |
null | null | null | null | null | null | null | null | P2 | null |
null | null | null | null | null | null | null | null | P1 | null |
null | null | null | null | null | null | null | null | P3 | null |
null | null | null | null | null | null | null | null | P3 | null |
null | null | null | null | null | null | null | null | P1 | null |
null | null | null | null | null | null | null | null | P3 | null |
null | null | null | null | null | null | null | null | P2 | null |
null | null | null | null | null | null | null | null | P2 | null |
null | null | null | null | null | null | null | null | P1 | null |
null | null | null | null | null | null | null | null | P1 | null |
null | null | null | null | null | null | null | null | P3 | null |
null | null | null | null | null | null | null | null | P1 | null |
null | null | null | null | null | null | null | null | P2 | null |
null | null | null | null | null | null | null | null | P1 | null |
null | null | null | null | null | null | null | null | P3 | null |
null | null | null | null | null | null | null | null | P2 | null |
null | null | null | null | null | null | null | null | P1 | null |
null | null | null | null | null | null | null | null | P3 | null |
null | null | null | null | null | null | null | null | P2 | null |
null | null | null | null | null | null | null | null | P3 | null |
null | null | null | null | null | null | null | null | P1 | null |
null | null | null | null | null | null | null | null | P3 | null |
null | null | null | null | null | null | null | null | P3 | null |
null | null | null | null | null | null | null | null | P1 | null |
null | null | null | null | null | null | null | null | P1 | null |
null | null | null | null | null | null | null | null | P1 | null |
null | null | null | null | null | null | null | null | P2 | null |
null | null | null | null | null | null | null | null | P3 | null |
null | null | null | null | null | null | null | null | P1 | null |
null | null | null | null | null | null | null | null | P2 | null |
null | null | null | null | null | null | null | null | P3 | null |
null | null | null | null | null | null | null | null | P1 | null |
null | null | null | null | null | null | null | null | P2 | null |
null | null | null | null | null | null | null | null | P2 | null |
null | null | null | null | null | null | null | null | P1 | null |
End of preview.
Twitter Sentiment Corpus
Annotated tweet texts with sentiment polarity labels for research purposes.
Description
This corpus contains 25,000 tweets annotated with three sentiment classes: positive, negative, and neutral. The annotations were produced by a contracted labeling team.
Structure
Each record contains the tweet text, a sentiment label, and a confidence score.
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