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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 ({'6693#41', '3535498'}) and 2 missing columns ({'956254#2', '4918739'}).
This happened while the csv dataset builder was generating data using
hf://datasets/spanish-ir/messirve-trec/qrels.messirve-v0.1-bo-train.tsv (at revision 0c67038caa3250c5f9a742ba9a8eda8472d8c858)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
3535498: int64
Q0: string
6693#41: string
1: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 691
to
{'4918739': Value('int64'), 'Q0': Value('string'), '956254#2': Value('string'), '1': Value('int64')}
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 1456, 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 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 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 ({'6693#41', '3535498'}) and 2 missing columns ({'956254#2', '4918739'}).
This happened while the csv dataset builder was generating data using
hf://datasets/spanish-ir/messirve-trec/qrels.messirve-v0.1-bo-train.tsv (at revision 0c67038caa3250c5f9a742ba9a8eda8472d8c858)
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.
4918739
int64 | Q0
string | 956254#2
string | 1
int64 |
|---|---|---|---|
4,918,752
|
Q0
|
10693652#0
| 1
|
4,918,788
|
Q0
|
455913#5
| 1
|
4,918,793
|
Q0
|
455913#5
| 1
|
4,918,799
|
Q0
|
4124245#36
| 1
|
4,918,802
|
Q0
|
4124245#5
| 1
|
4,918,847
|
Q0
|
7039240#0
| 1
|
4,918,850
|
Q0
|
11018#10
| 1
|
4,918,855
|
Q0
|
250990#2
| 1
|
4,918,866
|
Q0
|
288535#0
| 1
|
4,918,879
|
Q0
|
431785#11
| 1
|
4,918,880
|
Q0
|
21111#5
| 1
|
4,918,882
|
Q0
|
21111#23
| 1
|
4,918,883
|
Q0
|
26387#4
| 1
|
4,918,886
|
Q0
|
26387#4
| 1
|
4,918,887
|
Q0
|
21111#42
| 1
|
4,918,888
|
Q0
|
431785#13
| 1
|
4,918,889
|
Q0
|
26387#4
| 1
|
4,918,890
|
Q0
|
21111#42
| 1
|
4,918,891
|
Q0
|
21111#41
| 1
|
4,918,902
|
Q0
|
66109#1
| 1
|
4,918,910
|
Q0
|
6464567#12
| 1
|
4,918,912
|
Q0
|
32867#14
| 1
|
4,918,919
|
Q0
|
185205#4
| 1
|
4,918,922
|
Q0
|
60525#22
| 1
|
4,918,923
|
Q0
|
41144#6
| 1
|
4,918,924
|
Q0
|
60525#22
| 1
|
4,918,930
|
Q0
|
21412#1
| 1
|
4,918,931
|
Q0
|
32867#14
| 1
|
4,918,933
|
Q0
|
4440370#1
| 1
|
4,918,941
|
Q0
|
55259#1
| 1
|
4,918,951
|
Q0
|
3665593#9
| 1
|
4,918,957
|
Q0
|
360707#39
| 1
|
4,918,959
|
Q0
|
360707#2
| 1
|
4,918,960
|
Q0
|
360707#38
| 1
|
4,918,971
|
Q0
|
323087#1
| 1
|
4,918,978
|
Q0
|
3449#3
| 1
|
4,918,980
|
Q0
|
10798#3
| 1
|
4,918,985
|
Q0
|
10798#3
| 1
|
4,918,986
|
Q0
|
3449#3
| 1
|
4,918,990
|
Q0
|
21111#41
| 1
|
4,918,992
|
Q0
|
21111#5
| 1
|
4,918,994
|
Q0
|
431785#13
| 1
|
4,918,999
|
Q0
|
11018#22
| 1
|
4,919,011
|
Q0
|
2281210#1
| 1
|
4,919,012
|
Q0
|
5682#4
| 1
|
4,919,021
|
Q0
|
9505929#4
| 1
|
4,919,024
|
Q0
|
2281210#1
| 1
|
4,919,028
|
Q0
|
1397308#0
| 1
|
4,919,032
|
Q0
|
11568#5
| 1
|
4,919,035
|
Q0
|
66109#1
| 1
|
4,919,036
|
Q0
|
746#4
| 1
|
4,919,037
|
Q0
|
1276357#11
| 1
|
4,919,040
|
Q0
|
1526741#18
| 1
|
4,919,042
|
Q0
|
33779#16
| 1
|
4,919,047
|
Q0
|
4539304#1
| 1
|
4,919,049
|
Q0
|
2570#3
| 1
|
4,919,050
|
Q0
|
5189863#16
| 1
|
4,919,052
|
Q0
|
365714#1
| 1
|
4,919,053
|
Q0
|
195596#76
| 1
|
4,919,058
|
Q0
|
45099#10
| 1
|
4,919,059
|
Q0
|
1790#0
| 1
|
4,919,061
|
Q0
|
1790#0
| 1
|
4,919,062
|
Q0
|
182811#1
| 1
|
4,919,064
|
Q0
|
47351#11
| 1
|
4,919,066
|
Q0
|
26387#4
| 1
|
4,919,079
|
Q0
|
1843182#1
| 1
|
4,919,080
|
Q0
|
1843182#1
| 1
|
4,919,088
|
Q0
|
2564172#29
| 1
|
4,919,092
|
Q0
|
187829#1
| 1
|
4,919,104
|
Q0
|
48495#2
| 1
|
4,919,117
|
Q0
|
10177925#1
| 1
|
4,919,121
|
Q0
|
8019924#2
| 1
|
4,919,123
|
Q0
|
5298#14
| 1
|
4,919,126
|
Q0
|
1550136#50
| 1
|
4,919,127
|
Q0
|
272324#0
| 1
|
4,919,136
|
Q0
|
310071#15
| 1
|
4,919,137
|
Q0
|
19368#43
| 1
|
4,919,142
|
Q0
|
972#1
| 1
|
4,919,143
|
Q0
|
630511#4
| 1
|
4,919,146
|
Q0
|
8005#1
| 1
|
4,919,148
|
Q0
|
298875#0
| 1
|
4,919,150
|
Q0
|
69116#0
| 1
|
4,919,161
|
Q0
|
3737794#13
| 1
|
4,919,162
|
Q0
|
9351781#0
| 1
|
4,919,164
|
Q0
|
2975001#5
| 1
|
4,919,176
|
Q0
|
66194#5
| 1
|
4,919,193
|
Q0
|
11018#37
| 1
|
4,919,195
|
Q0
|
45099#7
| 1
|
4,919,197
|
Q0
|
11018#37
| 1
|
4,919,198
|
Q0
|
11018#37
| 1
|
4,919,201
|
Q0
|
77666#3
| 1
|
4,919,208
|
Q0
|
1852597#6
| 1
|
4,919,213
|
Q0
|
9966530#39
| 1
|
4,919,215
|
Q0
|
6321501#8
| 1
|
4,919,224
|
Q0
|
288535#0
| 1
|
4,919,225
|
Q0
|
288535#0
| 1
|
4,919,239
|
Q0
|
26387#4
| 1
|
4,919,246
|
Q0
|
2570#3
| 1
|
4,919,257
|
Q0
|
12577#31
| 1
|
4,919,263
|
Q0
|
33790#16
| 1
|
End of preview.
These are the conventional TREC-style topics and qrels files for MessIRve.
The corpus of documents for information retrieval is https://huggingface.co/datasets/spanish-ir/eswiki_20240401_corpus.
Refer to https://huggingface.co/datasets/spanish-ir/messirve for further detail.
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