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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 |
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