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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 ({'941070', '941070.1', '570945'}) and 3 missing columns ({'6117772.1', '8114168', '6117772'}).

This happened while the csv dataset builder was generating data using

hf://datasets/h4rr9/mmarco_pretrain_mini/triples.pretrain.query.mini.tsv (at revision fdbdd6506590f4dd00e6ca446b38e609ba7a5f5f)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              941070: int64
              941070.1: int64
              570945: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 594
              to
              {'6117772': Value(dtype='int64', id=None), '6117772.1': Value(dtype='int64', id=None), '8114168': Value(dtype='int64', id=None)}
              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 1321, 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 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, 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 3 new columns ({'941070', '941070.1', '570945'}) and 3 missing columns ({'6117772.1', '8114168', '6117772'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/h4rr9/mmarco_pretrain_mini/triples.pretrain.query.mini.tsv (at revision fdbdd6506590f4dd00e6ca446b38e609ba7a5f5f)
              
              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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6117772
int64
6117772.1
int64
8114168
int64
6,610,928
6,610,928
2,029,658
3,833,250
3,833,250
5,384,612
1,268,498
1,268,498
3,176,191
3,444,080
3,444,080
2,161,055
3,494,594
3,494,594
8,796,248
3,717,428
3,717,428
3,778,883
1,142,198
1,142,198
7,093,064
3,408,098
3,408,098
1,056,869
4,561,114
4,561,114
106,933
2,375,855
2,375,855
2,447,778
5,150,761
5,150,761
1,234,681
1,937,714
1,937,714
6,105,388
6,716,015
6,716,015
5,558,291
1,921,876
1,921,876
4,833,881
4,704,760
4,704,760
4,549,876
4,576,721
4,576,721
7,678,000
4,758,720
4,758,720
3,134,201
4,139,776
4,139,776
4,840,739
5,811,612
5,811,612
6,645,847
969,230
969,230
6,497,117
4,701,743
4,701,743
2,282,576
1,798,117
1,798,117
5,725,660
2,437,523
2,437,523
3,842,089
1,340,373
1,340,373
8,666,935
4,441,513
4,441,513
6,025,353
5,094,417
5,094,417
6,585,662
4,660,353
4,660,353
5,837,539
6,060,820
6,060,820
8,557,800
5,830,792
5,830,792
4,552,238
1,736,691
1,736,691
5,505,193
5,690,058
5,690,058
4,115,483
8,003,123
8,003,123
161,835
386,737
386,737
6,189,311
786,539
786,539
7,872,022
5,083,802
5,083,802
7,591,145
4,481,670
4,481,670
3,017,914
2,873,721
2,873,721
7,886,270
565,288
565,288
2,918,159
1,794,600
1,794,600
7,510,847
2,769,364
2,769,364
7,856,709
7,311,004
7,311,004
2,395,550
2,655,122
2,655,122
6,320,978
4,068,269
4,068,269
7,771,163
6,377,811
6,377,811
5,293,380
1,292,712
1,292,712
7,182,008
1,268,173
1,268,173
5,605,898
1,809,326
1,809,326
1,925,157
2,619,094
2,619,094
1,306,983
2,780,976
2,780,976
3,530,930
1,487,617
1,487,617
7,473,247
6,829,767
6,829,767
5,254,131
3,296,612
3,296,612
3,916,222
3,874,878
3,874,878
2,885,163
664,094
664,094
1,134,317
4,483,409
4,483,409
1,410,690
549,512
549,512
599,663
6,411,965
6,411,965
339,633
741,154
741,154
1,214,457
3,107,742
3,107,742
8,228,575
3,480,037
3,480,037
7,786,406
4,916,885
4,916,885
8,837,203
4,337,245
4,337,245
8,640,356
5,085,899
5,085,899
706,987
1,046,381
1,046,381
2,414,215
1,613,149
1,613,149
8,347,306
3,165,330
3,165,330
555,449
6,529,460
6,529,460
2,804,219
975,291
975,291
693,582
6,720,370
6,720,370
7,279,958
912,834
912,834
161,983
4,452,211
4,452,211
8,176,305
2,312,233
2,312,233
140,405
780,785
780,785
2,601,200
5,774,696
5,774,696
7,244,342
1,481,456
1,481,456
684,785
2,582,106
2,582,106
8,573,634
6,830,172
6,830,172
4,313,018
4,893,899
4,893,899
1,624,092
4,156,671
4,156,671
4,564,427
6,198,838
6,198,838
321,027
4,013,786
4,013,786
7,398,125
1,410,886
1,410,886
1,145,861
5,200,634
5,200,634
8,158,736
5,584,397
5,584,397
5,915,360
1,927,304
1,927,304
7,849,737
4,492,476
4,492,476
4,608,330
1,891,949
1,891,949
2,923,108
6,044,553
6,044,553
4,546,149
1,728,589
1,728,589
2,083,375
1,002,329
1,002,329
4,195,071
1,998,549
1,998,549
7,113,427
5,236,770
5,236,770
7,125,776
685,065
685,065
928,063
6,265,058
6,265,058
3,206,491
231,430
231,430
498,237
6,588,468
6,588,468
7,351,292
2,447,064
2,447,064
3,692,589
3,257,981
3,257,981
3,109,445
1,684,040
1,684,040
7,407,770
1,203,265
1,203,265
6,743,276
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