Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 1 new columns ({'query'}) and 2 missing columns ({'label', 'docno'}).
This happened while the csv dataset builder was generating data using
hf://datasets/bpiwowar/lotte/technology-3000/queries.tsv (at revision b8bf28a9ffb1dd81fce58a37fdf88f8be7d01057), ['hf://datasets/bpiwowar/lotte@b8bf28a9ffb1dd81fce58a37fdf88f8be7d01057/technology-3000/qrels.tsv', 'hf://datasets/bpiwowar/lotte@b8bf28a9ffb1dd81fce58a37fdf88f8be7d01057/technology-3000/queries.tsv']
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/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
qid: int64
query: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 492
to
{'qid': Value('int64'), 'docno': Value('int64'), 'label': 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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 1 new columns ({'query'}) and 2 missing columns ({'label', 'docno'}).
This happened while the csv dataset builder was generating data using
hf://datasets/bpiwowar/lotte/technology-3000/queries.tsv (at revision b8bf28a9ffb1dd81fce58a37fdf88f8be7d01057), ['hf://datasets/bpiwowar/lotte@b8bf28a9ffb1dd81fce58a37fdf88f8be7d01057/technology-3000/qrels.tsv', 'hf://datasets/bpiwowar/lotte@b8bf28a9ffb1dd81fce58a37fdf88f8be7d01057/technology-3000/queries.tsv']
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.
qid int64 | docno int64 | label int64 |
|---|---|---|
0 | 281,401 | 1 |
0 | 281,572 | 1 |
0 | 282,024 | 1 |
1 | 281,401 | 1 |
1 | 281,572 | 1 |
1 | 282,024 | 1 |
2 | 63,639 | 1 |
2 | 63,652 | 1 |
3 | 314,953 | 1 |
3 | 314,964 | 1 |
4 | 154,161 | 1 |
4 | 154,163 | 1 |
4 | 271,656 | 1 |
5 | 355,019 | 1 |
5 | 355,020 | 1 |
5 | 355,073 | 1 |
5 | 355,075 | 1 |
5 | 358,802 | 1 |
6 | 355,019 | 1 |
6 | 355,020 | 1 |
6 | 355,073 | 1 |
6 | 355,075 | 1 |
6 | 358,802 | 1 |
7 | 355,019 | 1 |
7 | 355,020 | 1 |
7 | 355,073 | 1 |
7 | 355,075 | 1 |
7 | 358,802 | 1 |
8 | 355,019 | 1 |
8 | 355,020 | 1 |
8 | 355,073 | 1 |
8 | 355,075 | 1 |
8 | 358,802 | 1 |
9 | 52,643 | 1 |
10 | 118,383 | 1 |
10 | 118,384 | 1 |
10 | 134,752 | 1 |
10 | 180,328 | 1 |
10 | 213,565 | 1 |
10 | 361,412 | 1 |
11 | 118,383 | 1 |
11 | 118,384 | 1 |
11 | 134,752 | 1 |
11 | 180,328 | 1 |
11 | 213,565 | 1 |
11 | 361,412 | 1 |
12 | 173,762 | 1 |
12 | 173,763 | 1 |
13 | 234,207 | 1 |
13 | 252,101 | 1 |
13 | 252,125 | 1 |
13 | 256,107 | 1 |
13 | 269,357 | 1 |
13 | 401,867 | 1 |
14 | 2,341 | 1 |
14 | 2,342 | 1 |
14 | 2,344 | 1 |
14 | 2,345 | 1 |
14 | 2,346 | 1 |
14 | 2,348 | 1 |
14 | 2,349 | 1 |
14 | 27,035 | 1 |
14 | 77,300 | 1 |
14 | 125,771 | 1 |
14 | 318,130 | 1 |
15 | 2,341 | 1 |
15 | 2,342 | 1 |
15 | 2,344 | 1 |
15 | 2,345 | 1 |
15 | 2,346 | 1 |
15 | 2,348 | 1 |
15 | 2,349 | 1 |
15 | 27,035 | 1 |
15 | 77,300 | 1 |
15 | 125,771 | 1 |
15 | 318,130 | 1 |
16 | 353,375 | 1 |
16 | 353,380 | 1 |
16 | 377,760 | 1 |
17 | 258,341 | 1 |
17 | 259,307 | 1 |
18 | 258,341 | 1 |
18 | 259,307 | 1 |
19 | 241,245 | 1 |
19 | 241,248 | 1 |
19 | 241,249 | 1 |
19 | 241,251 | 1 |
19 | 241,258 | 1 |
20 | 155,895 | 1 |
20 | 155,896 | 1 |
20 | 155,897 | 1 |
21 | 155,895 | 1 |
21 | 155,896 | 1 |
21 | 155,897 | 1 |
22 | 111,587 | 1 |
22 | 111,588 | 1 |
22 | 111,589 | 1 |
22 | 159,444 | 1 |
22 | 159,445 | 1 |
22 | 166,105 | 1 |
End of preview.
LoTTE (small extracts)
Small, teaching-sized extracts of LoTTE
(Long-Tail Topic-stratified Evaluation), built from the public
colbertv2/lotte_passages
dataset (Apache 2.0). Prepared for the practicals of Deep Learning pour le
texte (Formation Continue, Sorbonne Université) — see
practicals/scripts/prepare-lotte-corpus.py in the course repo for the build
script.
Each variant is a self-contained folder:
<variant>/
documents/ impact-index DocumentStore (key `docno` -> text)
queries.tsv qid, query
qrels.tsv qid, docno, label
Variants
technology-3000— technology domain, dev split. 150 search queries (with qrels), 3 365 documents (365 required by the qrels + a uniform random sample of ~3000 others).
Loading
from huggingface_hub import snapshot_download
import impact_index, pandas as pd
local_dir = snapshot_download(
"bpiwowar/lotte", repo_type="dataset", allow_patterns="technology-3000/*"
)
docstore = impact_index.DocumentStore.load(f"{local_dir}/technology-3000/documents")
queries_df = pd.read_csv(f"{local_dir}/technology-3000/queries.tsv", sep="\t", dtype=str)
qrels_df = pd.read_csv(f"{local_dir}/technology-3000/qrels.tsv", sep="\t", dtype=str)
Citation
@inproceedings{santhanam-etal-2022-colbertv2,
title = "{C}ol{BERT}v2: Effective and Efficient Retrieval via Lightweight Late Interaction",
author = "Santhanam, Keshav and Khattab, Omar and Saad-Falcon, Jon and Potts, Christopher and Zaharia, Matei",
booktitle = "Proceedings of NAACL-HLT 2022",
year = "2022",
url = "https://aclanthology.org/2022.naacl-main.272",
}
- Downloads last month
- 50