irds/beir_webis-touche2020_v2

Dataset Card for beir/webis-touche2020/v2

The beir/webis-touche2020/v2 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=382,545
• queries (i.e., topics); count=49
• qrels: (relevance assessments); count=2,214

Usage

from datasets import load_dataset

docs = load_dataset('irds/beir_webis-touche2020_v2', 'docs')
for record in docs:
    record # {'doc_id': ..., 'text': ..., 'title': ..., 'stance': ..., 'url': ...}

queries = load_dataset('irds/beir_webis-touche2020_v2', 'queries')
for record in queries:
    record # {'query_id': ..., 'text': ..., 'description': ..., 'narrative': ...}

qrels = load_dataset('irds/beir_webis-touche2020_v2', '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",
}