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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 ({'Q0', '9032'}) and 2 missing columns ({'41780', '14.488228'}).

This happened while the csv dataset builder was generating data using

hf://datasets/AnonymousUser2026/lotte_pooled_cocondenser/lotte_pooled_qas.search.tsv (at revision b34cb0a17179c06da42ff5048394166d0d1cdb93)

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'), '41780': Value('int64'), '1': Value('int64'), '14.488228': 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 ({'Q0', '9032'}) and 2 missing columns ({'41780', '14.488228'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/AnonymousUser2026/lotte_pooled_cocondenser/lotte_pooled_qas.search.tsv (at revision b34cb0a17179c06da42ff5048394166d0d1cdb93)
              
              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
41780
int64
1
int64
14.488228
float64
0
38,056
2
13.81092
0
8,893
3
13.741689
0
26,342
4
12.935345
0
778
5
12.893079
0
38,079
6
12.837781
0
54,678
7
12.53167
0
62,639
8
12.338156
0
18,955
9
12.326401
0
46,371
10
12.192574
1
39,506
1
16.995317
1
39,507
2
16.135294
1
26,396
3
14.637243
1
36,560
4
14.005715
1
28,298
5
14.003261
1
62,296
6
13.928614
1
60,137
7
13.771708
1
5,070
8
13.654251
1
82,942
9
13.505054
1
737
10
13.356117
2
33,377
1
20.788776
2
744,095
2
16.560995
2
37,931
3
16.078657
2
788,450
4
15.968715
2
861,938
5
15.782216
2
768,535
6
15.777487
2
763,024
7
15.752109
2
753,183
8
15.684663
2
736,700
9
15.528305
2
759,934
10
15.516815
3
3,818
1
17.91877
3
31,507
2
17.079935
3
94,569
3
16.305109
3
87,311
4
14.541625
3
90,314
5
13.015281
3
2,277,019
6
12.958636
3
78,495
7
12.626643
3
3,810
8
12.475591
3
339,943
9
12.216877
3
882,890
10
12.194
4
178,671
1
17.505072
4
61,269
2
17.18306
4
154,294
3
17.055378
4
178,673
4
16.361668
4
29,678
5
15.960037
4
62,118
6
15.684214
4
94,987
7
15.642927
4
449,355
8
15.014938
4
90,899
9
14.929335
4
247,306
10
14.905841
5
91,573
1
18.040134
5
1,713,690
2
16.290424
5
223,772
3
14.462967
5
1,872,832
4
14.190346
5
76,872
5
13.861714
5
1,232,881
6
13.838365
5
981,527
7
13.606872
5
2,089,232
8
13.516168
5
1,347,331
9
13.359764
5
709,969
10
13.069052
6
50,654
1
17.978382
6
529,453
2
16.191996
6
61,361
3
15.330537
6
2,138,816
4
15.088867
6
492,887
5
14.937007
6
2,129,716
6
14.813565
6
933,888
7
14.288717
6
1,527,461
8
14.234988
6
503,149
9
14.201206
6
19,649
10
14.157578
7
32,552
1
20.853994
7
706
2
18.007128
7
705
3
17.89176
7
69,123
4
17.464025
7
24,066
5
17.279505
7
67,048
6
16.995739
7
32,543
7
16.66093
7
714
8
16.34586
7
61,782
9
15.84142
7
13,661
10
15.114994
8
88,768
1
13.535386
8
36,810
2
13.5172
8
50,997
3
12.721464
8
42,862
4
11.447946
8
2,275
5
11.007998
8
380,319
6
10.453495
8
14,085
7
10.375014
8
88,600
8
10.221275
8
145,408
9
10.198121
8
26,195
10
10.175152
9
11,018
1
20.077263
9
10,980
2
16.524376
9
20,762
3
14.997204
9
26,917
4
14.773058
9
59,198
5
14.631282
9
102,434
6
13.621196
9
164,118
7
13.49966
9
10,994
8
13.432652
9
65,900
9
12.98177
9
95,110
10
12.830281
10
16,889
1
17.80281
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