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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 2 new columns ({'title', 'genres'}) and 2 missing columns ({'tmdbId', 'imdbId'}).
This happened while the csv dataset builder was generating data using
hf://datasets/omrastogi/movielen/movies.csv (at revision a4e106171ad2f8d559bcc0b25af9aefb1fc93bbe)
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
movieId: int64
title: string
genres: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 596
to
{'movieId': Value('int64'), 'imdbId': Value('int64'), 'tmdbId': Value('float64')}
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 2 new columns ({'title', 'genres'}) and 2 missing columns ({'tmdbId', 'imdbId'}).
This happened while the csv dataset builder was generating data using
hf://datasets/omrastogi/movielen/movies.csv (at revision a4e106171ad2f8d559bcc0b25af9aefb1fc93bbe)
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.
movieId
int64 | imdbId
int64 | tmdbId
float64 |
|---|---|---|
1
| 114,709
| 862
|
2
| 113,497
| 8,844
|
3
| 113,228
| 15,602
|
4
| 114,885
| 31,357
|
5
| 113,041
| 11,862
|
6
| 113,277
| 949
|
7
| 114,319
| 11,860
|
8
| 112,302
| 45,325
|
9
| 114,576
| 9,091
|
10
| 113,189
| 710
|
11
| 112,346
| 9,087
|
12
| 112,896
| 12,110
|
13
| 112,453
| 21,032
|
14
| 113,987
| 10,858
|
15
| 112,760
| 1,408
|
16
| 112,641
| 524
|
17
| 114,388
| 4,584
|
18
| 113,101
| 5
|
19
| 112,281
| 9,273
|
20
| 113,845
| 11,517
|
21
| 113,161
| 8,012
|
22
| 112,722
| 1,710
|
23
| 112,401
| 9,691
|
24
| 114,168
| 12,665
|
25
| 113,627
| 451
|
26
| 114,057
| 16,420
|
27
| 114,011
| 9,263
|
28
| 114,117
| 17,015
|
29
| 112,682
| 902
|
30
| 115,012
| 37,557
|
31
| 112,792
| 9,909
|
32
| 114,746
| 63
|
33
| 114,952
| 78,802
|
34
| 112,431
| 9,598
|
35
| 112,637
| 47,018
|
36
| 112,818
| 687
|
37
| 112,286
| 139,405
|
38
| 113,442
| 33,689
|
39
| 112,697
| 9,603
|
40
| 112,749
| 34,615
|
41
| 114,279
| 31,174
|
42
| 112,819
| 11,443
|
43
| 114,272
| 35,196
|
44
| 113,855
| 9,312
|
45
| 114,681
| 577
|
46
| 113,347
| 11,861
|
47
| 114,369
| 807
|
48
| 114,148
| 10,530
|
49
| 114,916
| 8,391
|
50
| 114,814
| 629
|
51
| 109,950
| 117,164
|
52
| 113,819
| 11,448
|
53
| 110,299
| 49,133
|
54
| 112,499
| 26,441
|
55
| 113,158
| 97,406
|
56
| 113,541
| 124,057
|
57
| 113,321
| 9,089
|
58
| 110,877
| 11,010
|
59
| 112,714
| 99,040
|
60
| 113,419
| 11,359
|
61
| 116,260
| 17,182
|
62
| 113,862
| 2,054
|
63
| 116,126
| 10,607
|
64
| 118,002
| 19,760
|
65
| 115,683
| 9,536
|
66
| 116,839
| 11,525
|
67
| 114,753
| 40,628
|
68
| 113,149
| 4,482
|
69
| 113,118
| 10,634
|
70
| 116,367
| 755
|
71
| 113,010
| 11,859
|
72
| 113,537
| 28,387
|
73
| 113,828
| 48,750
|
74
| 115,644
| 20,927
|
75
| 115,676
| 36,929
|
76
| 114,367
| 9,102
|
77
| 113,973
| 124,626
|
78
| 112,744
| 27,526
|
79
| 116,731
| 9,623
|
80
| 112,445
| 46,785
|
81
| 114,660
| 400
|
82
| 112,379
| 880
|
83
| 114,039
| 146,599
|
84
| 113,612
| 188,588
|
85
| 112,365
| 8,447
|
86
| 118,158
| 10,534
|
87
| 116,151
| 17,414
|
88
| 115,697
| 13,997
|
89
| 113,972
| 2,086
|
90
| 113,490
| 61,548
|
92
| 117,002
| 9,095
|
93
| 114,825
| 12,158
|
94
| 115,639
| 9,283
|
95
| 115,759
| 9,208
|
96
| 113,403
| 40,154
|
97
| 113,247
| 406
|
98
| 111,173
| 45,549
|
99
| 113,283
| 63,076
|
100
| 115,907
| 11,062
|
101
| 115,734
| 13,685
|
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