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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 ({'genres', 'title'}) and 2 missing columns ({'imdbId', 'tmdbId'}).

This happened while the csv dataset builder was generating data using

hf://datasets/hazemessam/ml-32m/movies.csv (at revision 42dc8193d723e5de13316f4b663ee5024d87f573), [/tmp/hf-datasets-cache/medium/datasets/44933519972885-config-parquet-and-info-hazemessam-ml-32m-0abf6253/hub/datasets--hazemessam--ml-32m/snapshots/42dc8193d723e5de13316f4b663ee5024d87f573/links.csv (origin=hf://datasets/hazemessam/ml-32m@42dc8193d723e5de13316f4b663ee5024d87f573/links.csv), /tmp/hf-datasets-cache/medium/datasets/44933519972885-config-parquet-and-info-hazemessam-ml-32m-0abf6253/hub/datasets--hazemessam--ml-32m/snapshots/42dc8193d723e5de13316f4b663ee5024d87f573/movies.csv (origin=hf://datasets/hazemessam/ml-32m@42dc8193d723e5de13316f4b663ee5024d87f573/movies.csv), /tmp/hf-datasets-cache/medium/datasets/44933519972885-config-parquet-and-info-hazemessam-ml-32m-0abf6253/hub/datasets--hazemessam--ml-32m/snapshots/42dc8193d723e5de13316f4b663ee5024d87f573/ratings.csv (origin=hf://datasets/hazemessam/ml-32m@42dc8193d723e5de13316f4b663ee5024d87f573/ratings.csv), /tmp/hf-datasets-cache/medium/datasets/44933519972885-config-parquet-and-info-hazemessam-ml-32m-0abf6253/hub/datasets--hazemessam--ml-32m/snapshots/42dc8193d723e5de13316f4b663ee5024d87f573/tags.csv (origin=hf://datasets/hazemessam/ml-32m@42dc8193d723e5de13316f4b663ee5024d87f573/tags.csv)]

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 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, 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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1892, 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 ({'genres', 'title'}) and 2 missing columns ({'imdbId', 'tmdbId'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/hazemessam/ml-32m/movies.csv (at revision 42dc8193d723e5de13316f4b663ee5024d87f573), [/tmp/hf-datasets-cache/medium/datasets/44933519972885-config-parquet-and-info-hazemessam-ml-32m-0abf6253/hub/datasets--hazemessam--ml-32m/snapshots/42dc8193d723e5de13316f4b663ee5024d87f573/links.csv (origin=hf://datasets/hazemessam/ml-32m@42dc8193d723e5de13316f4b663ee5024d87f573/links.csv), /tmp/hf-datasets-cache/medium/datasets/44933519972885-config-parquet-and-info-hazemessam-ml-32m-0abf6253/hub/datasets--hazemessam--ml-32m/snapshots/42dc8193d723e5de13316f4b663ee5024d87f573/movies.csv (origin=hf://datasets/hazemessam/ml-32m@42dc8193d723e5de13316f4b663ee5024d87f573/movies.csv), /tmp/hf-datasets-cache/medium/datasets/44933519972885-config-parquet-and-info-hazemessam-ml-32m-0abf6253/hub/datasets--hazemessam--ml-32m/snapshots/42dc8193d723e5de13316f4b663ee5024d87f573/ratings.csv (origin=hf://datasets/hazemessam/ml-32m@42dc8193d723e5de13316f4b663ee5024d87f573/ratings.csv), /tmp/hf-datasets-cache/medium/datasets/44933519972885-config-parquet-and-info-hazemessam-ml-32m-0abf6253/hub/datasets--hazemessam--ml-32m/snapshots/42dc8193d723e5de13316f4b663ee5024d87f573/tags.csv (origin=hf://datasets/hazemessam/ml-32m@42dc8193d723e5de13316f4b663ee5024d87f573/tags.csv)]
              
              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)

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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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