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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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