LoTTE Pooled
Collection
5 items • Updated
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)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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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