--- pretty_name: '`beir/webis-touche2020/v2`' viewer: false source_datasets: [] task_categories: - text-retrieval --- # Dataset Card for `beir/webis-touche2020/v2` The `beir/webis-touche2020/v2` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. For more information about the dataset, see the [documentation](https://ir-datasets.com/beir#beir/webis-touche2020/v2). # 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 ```python 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", } ```