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 ({'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)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 | 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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