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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 3 new columns ({'7067032', '300674', '0'}) and 3 missing columns ({'121352', '10.2734375', '2912791'}).

This happened while the csv dataset builder was generating data using

hf://datasets/liuqi6777/msmarco/qrels.dev.small.tsv (at revision 77a57fe0d54ffdc2ac593ba1842239dd39528325), ['hf://datasets/liuqi6777/msmarco@77a57fe0d54ffdc2ac593ba1842239dd39528325/qrels.dev.small.tsv', 'hf://datasets/liuqi6777/msmarco@77a57fe0d54ffdc2ac593ba1842239dd39528325/qrels.dev.tsv', 'hf://datasets/liuqi6777/msmarco@77a57fe0d54ffdc2ac593ba1842239dd39528325/queries.dev.small.tsv', 'hf://datasets/liuqi6777/msmarco@77a57fe0d54ffdc2ac593ba1842239dd39528325/queries.dev.tsv']

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/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              300674: int64
              0: int64
              7067032: int64
              1: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 698
              to
              {'121352': Value('int64'), '2912791': Value('int64'), '1': Value('int64'), '10.2734375': 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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 3 new columns ({'7067032', '300674', '0'}) and 3 missing columns ({'121352', '10.2734375', '2912791'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/liuqi6777/msmarco/qrels.dev.small.tsv (at revision 77a57fe0d54ffdc2ac593ba1842239dd39528325), ['hf://datasets/liuqi6777/msmarco@77a57fe0d54ffdc2ac593ba1842239dd39528325/qrels.dev.small.tsv', 'hf://datasets/liuqi6777/msmarco@77a57fe0d54ffdc2ac593ba1842239dd39528325/qrels.dev.tsv', 'hf://datasets/liuqi6777/msmarco@77a57fe0d54ffdc2ac593ba1842239dd39528325/queries.dev.small.tsv', 'hf://datasets/liuqi6777/msmarco@77a57fe0d54ffdc2ac593ba1842239dd39528325/queries.dev.tsv']
              
              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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121352
int64
2912791
int64
1
int64
10.2734375
float64
121,352
8,527,176
2
10.15625
121,352
5,561,504
3
9.632813
121,352
7,282,917
4
9.632813
121,352
8,527,175
5
9.625
121,352
7,282,918
6
9.546875
121,352
2,912,786
7
9.453125
121,352
2,912,788
8
9.304688
121,352
4,923,163
9
9.078125
121,352
2,912,794
10
9.054688
121,352
7,070,778
11
9.015625
121,352
4,923,157
12
8.632813
121,352
7,480,161
13
8.5625
121,352
4,923,159
14
8.484375
121,352
7,568,754
15
8.398438
121,352
4,923,161
16
8.289063
121,352
1,545,154
17
8.140625
121,352
5,101,119
18
8.125
121,352
1,638,121
19
7.960938
121,352
2,912,790
20
7.882813
121,352
7,675,730
21
7.777344
121,352
7,829,082
22
7.601563
121,352
674,181
23
7.546875
121,352
674,182
24
7.109375
121,352
7,829,073
25
7.078125
121,352
7,829,079
26
7.019531
121,352
8,527,173
27
6.96875
121,352
2,912,787
28
6.824219
121,352
7,135,498
29
6.6875
121,352
7,282,919
30
6.546875
121,352
8,527,174
31
6.429688
121,352
7,589,802
32
6.285156
121,352
3,410,567
33
6.210938
121,352
7,136,102
34
6.132813
121,352
995,488
35
5.796875
121,352
947,309
36
5.738281
121,352
804,967
37
5.726563
121,352
520,347
38
5.652344
121,352
804,969
39
5.488281
121,352
4,923,165
40
5.460938
121,352
6,619,989
41
5.378906
121,352
5,501,070
42
5.351563
121,352
7,829,074
43
5.316406
121,352
7,829,081
44
5.191406
121,352
696,699
45
5.144531
121,352
5,561,503
46
4.964844
121,352
4,658,559
47
4.957031
121,352
7,829,077
48
4.777344
121,352
8,083,220
49
4.742188
121,352
4,923,158
50
4.65625
121,352
5,561,499
51
4.515625
121,352
8,428,623
52
4.503906
121,352
3,410,566
53
4.5
121,352
8,521,516
54
4.390625
121,352
7,135,094
55
4.285156
121,352
7,575,729
56
4.230469
121,352
4,358,413
57
3.875
121,352
5,817,434
58
3.871094
121,352
1,476,671
59
3.808594
121,352
8,527,170
60
3.603516
121,352
7,766,800
61
3.554688
121,352
5,561,506
62
3.419922
121,352
5,008,768
63
3.287109
121,352
5,319,439
64
3.089844
121,352
7,022,999
65
3.029297
121,352
793,514
66
2.949219
121,352
7,786,494
67
2.890625
121,352
3,554
68
2.880859
121,352
4,503,579
69
2.880859
121,352
40,214
70
2.847656
121,352
791,394
71
2.794922
121,352
8,827,602
72
2.607422
121,352
8,293,981
73
2.492188
121,352
6,849,321
74
2.455078
121,352
5,402,522
75
2.423828
121,352
2,937,410
76
2.380859
121,352
8,455,428
77
2.275391
121,352
7,619,278
78
2.244141
121,352
4,455,680
79
2.203125
121,352
674,176
80
2.119141
121,352
8,527,177
81
2.099609
121,352
5,561,502
82
2.003906
121,352
8,093,243
83
1.821289
121,352
40,211
84
1.761719
121,352
1,913,621
85
1.510742
121,352
674,183
86
1.484375
121,352
1,910,809
87
1.416992
121,352
4,629,912
88
1.40332
121,352
40,219
89
1.382813
121,352
8,142,575
90
1.291016
121,352
6,849,319
91
1.27832
121,352
1,145,690
92
1.185547
121,352
51,459
93
1.004883
121,352
6,594,817
94
0.959473
121,352
4,101,034
95
0.836426
121,352
4,435,359
96
0.729004
121,352
6,243,107
97
0.65332
121,352
237,023
98
0.57959
121,352
6,243,109
99
0.237061
121,352
7,884,953
100
0.210815
121,352
7,163,190
101
0.205078
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