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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 3 new columns ({'Activity', 'Satisfaction (1-5)', 'Volunteer ID'}) and 3 missing columns ({'Rating (1-5)', 'Feature', 'Respondent ID'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ZaidB477/csv/volunteer_feedback.csv (at revision 067525022a21f4c04ed5cb023dc11cb8b6624b4f)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, 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
Volunteer ID: int64
Activity: string
Satisfaction (1-5): int64
Comment: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 744
to
{'Respondent ID': Value('int64'), 'Feature': Value('string'), 'Rating (1-5)': Value('int64'), 'Comment': 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 1455, 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 1054, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, 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 3 new columns ({'Activity', 'Satisfaction (1-5)', 'Volunteer ID'}) and 3 missing columns ({'Rating (1-5)', 'Feature', 'Respondent ID'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ZaidB477/csv/volunteer_feedback.csv (at revision 067525022a21f4c04ed5cb023dc11cb8b6624b4f)
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.
Respondent ID int64 | Feature string | Rating (1-5) int64 | Comment string |
|---|---|---|---|
101 | User Interface | 5 | Very intuitive and easy to use |
102 | Performance | 4 | Faster than previous version |
103 | Price | 3 | Could be more affordable |
104 | Customer Support | 5 | Quick and helpful responses |
105 | User Interface | 4 | Good but could use more themes |
106 | Performance | 5 | Extremely fast |
107 | Price | 2 | Too expensive for small teams |
108 | Customer Support | 4 | Helpful but delayed response time |
109 | User Interface | 5 | Smooth and responsive |
110 | Performance | 4 | Performs well under load |
111 | Price | 3 | Reasonable but not great value |
112 | Customer Support | 5 | Very satisfied with support team |
113 | User Interface | 4 | Modern design, easy navigation |
114 | Performance | 5 | Excellent optimization |
115 | Price | 2 | Not budget-friendly |
116 | Customer Support | 4 | Quick issue resolution |
117 | User Interface | 5 | Fantastic layout and simplicity |
118 | Performance | 4 | Good consistency |
119 | Price | 3 | Acceptable but still high |
120 | Customer Support | 5 | Prompt and professional |
null | null | null | Great teamwork and organization! |
null | null | null | Smooth event but long hours |
null | null | null | Loved planting trees and community vibe |
null | null | null | Teaching kids was rewarding |
null | null | null | Needs better coordination |
null | null | null | Fun and fulfilling experience |
null | null | null | Well-planned and meaningful |
null | null | null | Good initiative, maybe more materials next time |
null | null | null | Great support from organizers |
null | null | null | Challenging logistics |
null | null | null | Very refreshing activity |
null | null | null | Loved working with new volunteers |
null | null | null | Inspiring session overall |
null | null | null | Smooth process and distribution |
null | null | null | Could be more structured |
null | null | null | Excellent coordination |
null | null | null | Relaxed and enjoyable |
null | null | null | Engaging for both volunteers and community |
null | null | null | Satisfying event |
null | null | null | Bit tiring but rewarding |
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