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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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