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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 ({'9032', 'Q0'}) and 2 missing columns ({'14.652164', '8893'}).

This happened while the csv dataset builder was generating data using

hf://datasets/AnonymousUser2026/lotte_pooled_inferenceless/lotte_pooled_qas.search.tsv (at revision fc7aa10d3f850265f17b80a2b3675d226bb516f2)

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
              0: int64
              Q0: string
              9032: int64
              1: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 669
              to
              {'0': Value('int64'), '8893': Value('int64'), '1': Value('int64'), '14.652164': 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 1450, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 993, in stream_convert_to_parquet
                  builder._prepare_split(
                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 ({'9032', 'Q0'}) and 2 missing columns ({'14.652164', '8893'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/AnonymousUser2026/lotte_pooled_inferenceless/lotte_pooled_qas.search.tsv (at revision fc7aa10d3f850265f17b80a2b3675d226bb516f2)
              
              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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0
int64
8893
int64
1
int64
14.652164
float64
0
38,056
2
14.020145
0
41,780
3
13.788713
0
38,079
4
13.180655
0
56,650
5
12.724518
0
23,920
6
12.642362
0
778
7
12.551081
0
26,348
8
12.467068
0
71,052
9
12.452073
0
107,776
10
12.355378
1
39,506
1
21.485573
1
39,507
2
21.27076
1
60,137
3
20.142567
1
55,314
4
19.869576
1
26,317
5
19.619291
1
5,071
6
19.552172
1
82,940
7
19.355104
1
26,396
8
19.229227
1
59,862
9
19.203743
1
28,298
10
19.180244
2
33,377
1
18.018957
2
139,117
2
16.4462
2
724,248
3
16.292965
2
763,024
4
16.265852
2
1,900,679
5
15.750433
2
59,108
6
15.724069
2
17,030
7
15.698181
2
62,224
8
15.697082
2
466,594
9
15.509281
2
499,731
10
15.324494
3
31,507
1
20.631773
3
94,569
2
20.010368
3
87,311
3
18.747429
3
3,818
4
17.89794
3
90,314
5
17.422493
3
600,383
6
17.274857
3
34,467
7
17.110285
3
101,920
8
16.52884
3
26,588
9
16.426937
3
93,772
10
15.938714
4
178,671
1
19.187489
4
154,294
2
18.339117
4
61,269
3
17.539692
4
62,118
4
17.216896
4
76,216
5
17.111576
4
449,350
6
16.819635
4
90,899
7
16.711021
4
29,678
8
16.679245
4
449,355
9
16.5163
4
19,303
10
16.478731
5
1,713,690
1
15.484518
5
981,527
2
14.086558
5
883,745
3
14.041588
5
1,872,832
4
13.5392
5
1,845,020
5
13.239744
5
91,573
6
12.991722
5
749,594
7
12.989285
5
1,445,708
8
12.964252
5
1,913,157
9
12.886658
5
1,538,110
10
12.772676
6
50,654
1
20.844105
6
501,660
2
19.899935
6
529,453
3
19.549198
6
521,783
4
19.237349
6
539,265
5
19.229969
6
513,070
6
18.564758
6
5,024
7
18.497759
6
19,649
8
18.390036
6
26,234
9
18.349474
6
2,142,976
10
18.331827
7
32,552
1
21.975853
7
706
2
19.944132
7
24,066
3
19.196438
7
705
4
18.062517
7
714
5
17.937487
7
61,782
6
17.72462
7
715
7
17.352783
7
134
8
17.12862
7
436,448
9
16.983652
7
8,822
10
16.767607
8
36,810
1
19.95795
8
1,514,169
2
18.421328
8
521,889
3
18.368355
8
88,768
4
17.928894
8
505,705
5
17.671213
8
898,060
6
17.66034
8
76,102
7
17.309498
8
1,837,113
8
17.050018
8
498,506
9
17.01841
8
927,903
10
16.9771
9
11,018
1
24.756004
9
59,198
2
23.515152
9
95,110
3
21.196484
9
836,666
4
21.18924
9
26,917
5
21.011452
9
38,265
6
20.620247
9
877,347
7
20.56908
9
656,092
8
20.438583
9
10,980
9
20.272417
9
81,593
10
20.069847
10
16,889
1
20.470861
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