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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 1 new columns ({'feature_name'}) and 6 missing columns ({'family_status', 'customer_id', 'age_group', 'psychographic_category', 'gender', 'loyalty_tier'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ranjeetjha/PrivacyPreservingPersonalization/feature_names.csv (at revision 68e5bf31dc9b01758cfd9342fc8b106061c1263e)
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
feature_name: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 385
to
{'customer_id': Value('string'), 'age_group': Value('string'), 'gender': Value('string'), 'loyalty_tier': Value('string'), 'family_status': Value('string'), 'psychographic_category': 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 1339, 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 972, 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 1 new columns ({'feature_name'}) and 6 missing columns ({'family_status', 'customer_id', 'age_group', 'psychographic_category', 'gender', 'loyalty_tier'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ranjeetjha/PrivacyPreservingPersonalization/feature_names.csv (at revision 68e5bf31dc9b01758cfd9342fc8b106061c1263e)
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.
customer_id string | age_group string | gender string | loyalty_tier string | family_status string | psychographic_category string |
|---|---|---|---|---|---|
CUST_000000 | 26-35 | F | Silver | Couple | Quality_Seeker |
CUST_000001 | 26-35 | M | Gold | Couple | Convenience_Focused |
CUST_000002 | 18-25 | F | Gold | Single | Brand_Loyal |
CUST_000003 | 26-35 | M | Silver | Single | Price_Conscious |
CUST_000004 | 36-45 | M | Bronze | Family_Large | Convenience_Focused |
CUST_000005 | 26-35 | Other | Bronze | Family_Small | Trendsetter |
CUST_000006 | 36-45 | M | Gold | Family_Small | Quality_Seeker |
CUST_000007 | 26-35 | M | Silver | Single | Brand_Loyal |
CUST_000008 | 36-45 | M | Gold | Couple | Brand_Loyal |
CUST_000009 | 26-35 | F | Silver | Single | Quality_Seeker |
CUST_000010 | 46-55 | F | Gold | Family_Small | Brand_Loyal |
CUST_000011 | 18-25 | M | Bronze | Single | Trendsetter |
CUST_000012 | 36-45 | F | Silver | Couple | Trendsetter |
CUST_000013 | 46-55 | M | Platinum | Family_Small | Brand_Loyal |
CUST_000014 | 26-35 | M | Bronze | Couple | Convenience_Focused |
CUST_000015 | 46-55 | M | Bronze | Couple | Price_Conscious |
CUST_000016 | 36-45 | M | Bronze | Family_Small | Trendsetter |
CUST_000017 | 46-55 | F | Gold | Family_Small | Trendsetter |
CUST_000018 | 65+ | F | Silver | Single | Convenience_Focused |
CUST_000019 | 36-45 | M | Bronze | Couple | Price_Conscious |
CUST_000020 | 26-35 | F | Gold | Single | Trendsetter |
CUST_000021 | 36-45 | M | Gold | Family_Small | Convenience_Focused |
CUST_000022 | 26-35 | F | Gold | Couple | Brand_Loyal |
CUST_000023 | 46-55 | M | Gold | Family_Small | Quality_Seeker |
CUST_000024 | 18-25 | M | Gold | Single | Convenience_Focused |
CUST_000025 | 36-45 | F | Gold | Couple | Convenience_Focused |
CUST_000026 | 36-45 | M | Bronze | Family_Small | Convenience_Focused |
CUST_000027 | 26-35 | F | Silver | Single | Price_Conscious |
CUST_000028 | 26-35 | M | Silver | Couple | Trendsetter |
CUST_000029 | 26-35 | M | Silver | Couple | Trendsetter |
CUST_000030 | 26-35 | F | Silver | Couple | Quality_Seeker |
CUST_000031 | 65+ | M | Silver | Couple | Convenience_Focused |
CUST_000032 | 26-35 | F | Bronze | Family_Small | Convenience_Focused |
CUST_000033 | 46-55 | F | Bronze | Family_Small | Trendsetter |
CUST_000034 | 56-65 | M | Bronze | Couple | Convenience_Focused |
CUST_000035 | 26-35 | M | Gold | Single | Quality_Seeker |
CUST_000036 | 46-55 | F | Silver | Couple | Quality_Seeker |
CUST_000037 | 26-35 | F | Gold | Couple | Brand_Loyal |
CUST_000038 | 26-35 | Other | Platinum | Couple | Convenience_Focused |
CUST_000039 | 26-35 | M | Silver | Family_Small | Brand_Loyal |
CUST_000040 | 56-65 | F | Silver | Single | Brand_Loyal |
CUST_000041 | 56-65 | F | Bronze | Single | Convenience_Focused |
CUST_000042 | 65+ | M | Bronze | Couple | Convenience_Focused |
CUST_000043 | 46-55 | M | Silver | Couple | Trendsetter |
CUST_000044 | 26-35 | M | Silver | Couple | Price_Conscious |
CUST_000045 | 36-45 | F | Silver | Couple | Trendsetter |
CUST_000046 | 36-45 | F | Bronze | Family_Small | Price_Conscious |
CUST_000047 | 36-45 | F | Bronze | Family_Small | Convenience_Focused |
CUST_000048 | 36-45 | F | Bronze | Family_Large | Trendsetter |
CUST_000049 | 26-35 | F | Silver | Family_Small | Trendsetter |
CUST_000050 | 36-45 | F | Platinum | Family_Large | Trendsetter |
CUST_000051 | 26-35 | F | Bronze | Single | Price_Conscious |
CUST_000052 | 26-35 | F | Gold | Single | Quality_Seeker |
CUST_000053 | 36-45 | Other | Bronze | Family_Small | Quality_Seeker |
CUST_000054 | 26-35 | F | Bronze | Couple | Trendsetter |
CUST_000055 | 26-35 | M | Bronze | Couple | Brand_Loyal |
CUST_000056 | 36-45 | F | Silver | Family_Small | Brand_Loyal |
CUST_000057 | 56-65 | M | Silver | Couple | Convenience_Focused |
CUST_000058 | 36-45 | F | Bronze | Family_Small | Price_Conscious |
CUST_000059 | 18-25 | F | Bronze | Single | Price_Conscious |
CUST_000060 | 46-55 | M | Platinum | Family_Small | Trendsetter |
CUST_000061 | 26-35 | M | Silver | Single | Trendsetter |
CUST_000062 | 65+ | F | Bronze | Single | Convenience_Focused |
CUST_000063 | 36-45 | M | Bronze | Family_Large | Price_Conscious |
CUST_000064 | 46-55 | M | Gold | Family_Small | Price_Conscious |
CUST_000065 | 46-55 | M | Platinum | Family_Small | Trendsetter |
CUST_000066 | 36-45 | M | Bronze | Family_Small | Trendsetter |
CUST_000067 | 18-25 | M | Bronze | Single | Brand_Loyal |
CUST_000068 | 26-35 | M | Silver | Family_Small | Brand_Loyal |
CUST_000069 | 26-35 | M | Bronze | Couple | Trendsetter |
CUST_000070 | 56-65 | M | Bronze | Couple | Price_Conscious |
CUST_000071 | 36-45 | F | Silver | Family_Large | Quality_Seeker |
CUST_000072 | 18-25 | F | Gold | Couple | Quality_Seeker |
CUST_000073 | 36-45 | M | Gold | Family_Large | Brand_Loyal |
CUST_000074 | 26-35 | F | Gold | Single | Trendsetter |
CUST_000075 | 26-35 | M | Bronze | Couple | Price_Conscious |
CUST_000076 | 46-55 | M | Silver | Family_Small | Convenience_Focused |
CUST_000077 | 26-35 | M | Silver | Couple | Trendsetter |
CUST_000078 | 18-25 | M | Platinum | Couple | Trendsetter |
CUST_000079 | 46-55 | F | Platinum | Family_Small | Quality_Seeker |
CUST_000080 | 26-35 | F | Gold | Couple | Brand_Loyal |
CUST_000081 | 36-45 | F | Silver | Couple | Price_Conscious |
CUST_000082 | 36-45 | F | Bronze | Couple | Convenience_Focused |
CUST_000083 | 26-35 | M | Gold | Single | Brand_Loyal |
CUST_000084 | 65+ | F | Silver | Couple | Trendsetter |
CUST_000085 | 18-25 | F | Silver | Single | Trendsetter |
CUST_000086 | 46-55 | F | Bronze | Family_Small | Quality_Seeker |
CUST_000087 | 36-45 | F | Bronze | Couple | Brand_Loyal |
CUST_000088 | 46-55 | F | Gold | Family_Large | Trendsetter |
CUST_000089 | 26-35 | M | Gold | Single | Trendsetter |
CUST_000090 | 18-25 | Other | Bronze | Single | Brand_Loyal |
CUST_000091 | 26-35 | F | Silver | Single | Brand_Loyal |
CUST_000092 | 18-25 | F | Silver | Single | Quality_Seeker |
CUST_000093 | 26-35 | M | Bronze | Single | Quality_Seeker |
CUST_000094 | 46-55 | F | Gold | Family_Small | Convenience_Focused |
CUST_000095 | 36-45 | F | Bronze | Couple | Price_Conscious |
CUST_000096 | 26-35 | F | Bronze | Family_Small | Trendsetter |
CUST_000097 | 26-35 | M | Gold | Family_Small | Brand_Loyal |
CUST_000098 | 36-45 | F | Silver | Family_Small | Price_Conscious |
CUST_000099 | 36-45 | F | Gold | Couple | Brand_Loyal |
End of preview.
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