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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 5 new columns ({'lecture_id', 'part', 'video_length', 'tags', 'deployed_at'}) and 3 missing columns ({'coupon_type', 'coupon_id', 'duration'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Unggi/ednet5000_raw_data/ednet_content/lectures.csv (at revision a6ffb6231d8d86fffcef23c9e47c19818aff809d)
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
lecture_id: string
part: int64
tags: int64
video_length: int64
deployed_at: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 832
to
{'coupon_id': Value('string'), 'coupon_type': Value('string'), 'duration': Value('int64')}
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 5 new columns ({'lecture_id', 'part', 'video_length', 'tags', 'deployed_at'}) and 3 missing columns ({'coupon_type', 'coupon_id', 'duration'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Unggi/ednet5000_raw_data/ednet_content/lectures.csv (at revision a6ffb6231d8d86fffcef23c9e47c19818aff809d)
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.
coupon_id string | coupon_type string | duration int64 |
|---|---|---|
c1 | type-0 | 4,320,000,000 |
c2 | type-0 | 5,184,000,000 |
c3 | type-0 | 7,776,000,000 |
c4 | type-0 | 8,640,000,000 |
c5 | type-0 | 15,552,000,000 |
c6 | type-0 | 17,280,000,000 |
c7 | type-1 | 86,400,000 |
c8 | type-1 | 172,800,000 |
c9 | type-1 | 1,296,000,000 |
c10 | type-1 | 1,382,400,000 |
c11 | type-1 | 2,592,000,000 |
c12 | type-1 | 2,678,400,000 |
c13 | type-1 | 3,715,200,000 |
c14 | type-1 | 5,184,000,000 |
c15 | type-1 | 5,270,400,000 |
c16 | type-1 | 15,552,000,000 |
c17 | type-2 | 432,000,000 |
c18 | type-3 | 1,000,000 |
c19 | type-3 | 36,000,000 |
c20 | type-3 | 84,200,000 |
c21 | type-3 | 86,400,000 |
c22 | type-3 | 86,500,000 |
c23 | type-3 | 172,800,000 |
c24 | type-3 | 259,200,000 |
c25 | type-3 | 345,600,000 |
c26 | type-3 | 360,000,000 |
c27 | type-3 | 432,000,000 |
c28 | type-3 | 604,300,000 |
c29 | type-3 | 604,800,000 |
c30 | type-3 | 691,200,000 |
c31 | type-3 | 864,000,000 |
c32 | type-3 | 950,400,000 |
c33 | type-3 | 1,000,000,000 |
c34 | type-3 | 1,209,600,000 |
c35 | type-3 | 1,296,000,000 |
c36 | type-3 | 1,382,400,000 |
c37 | type-3 | 1,814,400,000 |
c38 | type-3 | 2,592,000,000 |
c39 | type-3 | 2,678,400,000 |
c40 | type-3 | 2,851,200,000 |
c41 | type-3 | 2,937,600,000 |
c42 | type-3 | 3,369,600,000 |
c43 | type-3 | 3,456,000,000 |
c44 | type-3 | 3,888,000,000 |
c45 | type-3 | 4,060,800,000 |
c46 | type-3 | 4,320,000,000 |
c47 | type-3 | 5,183,999,000 |
c48 | type-3 | 5,184,000,000 |
c49 | type-3 | 6,048,000,000 |
c50 | type-3 | 7,257,600,000 |
c51 | type-3 | 7,776,000,000 |
c52 | type-3 | 7,862,400,000 |
c53 | type-3 | 8,640,000,000 |
c54 | type-3 | 9,676,800,000 |
c55 | type-3 | 10,000,000,000 |
c56 | type-3 | 10,368,000,000 |
c57 | type-3 | 11,923,200,000 |
c58 | type-3 | 12,960,000,000 |
c59 | type-3 | 13,046,400,000 |
c60 | type-3 | 13,392,000,000 |
c61 | type-3 | 14,947,200,000 |
c62 | type-3 | 15,552,000,000 |
c63 | type-3 | 15,638,400,000 |
c64 | type-3 | 15,780,000,000 |
c65 | type-3 | 25,920,000,000 |
c66 | type-3 | 28,512,000,000 |
c67 | type-3 | 31,104,000,000 |
c68 | type-3 | 31,536,000,000 |
c69 | type-3 | 31,622,400,000 |
c70 | type-3 | 60,480,000,000 |
c71 | type-3 | 99,999,999,000 |
c72 | type-3 | 864,000,000,000 |
c73 | type-4 | 1,209,600,000 |
c74 | type-4 | 2,592,000,000 |
c75 | type-4 | 4,320,000,000 |
c76 | type-4 | 5,184,000,000 |
c77 | type-4 | 7,776,000,000 |
c78 | type-4 | 8,640,000,000 |
c79 | type-4 | 15,552,000,000 |
c80 | type-4 | 31,536,000,000 |
c81 | type-4 | 63,072,000,000 |
c82 | type-5 | 604,800,000 |
c83 | type-5 | 2,592,000,000 |
c84 | type-5 | 4,320,000,000 |
c85 | type-5 | 5,184,000,000 |
c86 | type-5 | 7,776,000,000 |
c87 | type-5 | 8,640,000,000 |
c88 | type-5 | 15,552,000,000 |
c89 | type-6 | 5,184,000,000 |
c90 | type-6 | 15,552,000,000 |
c91 | type-7 | 84,200,000 |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
End of preview.