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Dataset Card for beir/webis-touche2020
The beir/webis-touche2020
dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
Data
This dataset provides:
docs
(documents, i.e., the corpus); count=382,545queries
(i.e., topics); count=49qrels
: (relevance assessments); count=2,962
Usage
from datasets import load_dataset
docs = load_dataset('irds/beir_webis-touche2020', 'docs')
for record in docs:
record # {'doc_id': ..., 'text': ..., 'title': ..., 'stance': ..., 'url': ...}
queries = load_dataset('irds/beir_webis-touche2020', 'queries')
for record in queries:
record # {'query_id': ..., 'text': ..., 'description': ..., 'narrative': ...}
qrels = load_dataset('irds/beir_webis-touche2020', 'qrels')
for record in qrels:
record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'iteration': ...}
Note that calling load_dataset
will download the dataset (or provide access instructions when it's not public) and make a copy of the
data in 🤗 Dataset format.
Citation Information
@inproceedings{Bondarenko2020Tuche,
title={Overview of Touch{\'e} 2020: Argument Retrieval},
author={Alexander Bondarenko and Maik Fr{\"o}be and Meriem Beloucif and Lukas Gienapp and Yamen Ajjour and Alexander Panchenko and Christian Biemann and Benno Stein and Henning Wachsmuth and Martin Potthast and Matthias Hagen},
booktitle={CLEF},
year={2020}
}
@article{Thakur2021Beir,
title = "BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models",
author = "Thakur, Nandan and Reimers, Nils and Rücklé, Andreas and Srivastava, Abhishek and Gurevych, Iryna",
journal= "arXiv preprint arXiv:2104.08663",
month = "4",
year = "2021",
url = "https://arxiv.org/abs/2104.08663",
}
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