--- pretty_name: '`beir/fever`' viewer: false source_datasets: [] task_categories: - text-retrieval --- # Dataset Card for `beir/fever` The `beir/fever` 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/fever). # Data This dataset provides: - `docs` (documents, i.e., the corpus); count=5,416,568 - `queries` (i.e., topics); count=123,142 This dataset is used by: [`beir_fever_dev`](https://huggingface.co/datasets/irds/beir_fever_dev), [`beir_fever_test`](https://huggingface.co/datasets/irds/beir_fever_test), [`beir_fever_train`](https://huggingface.co/datasets/irds/beir_fever_train) ## Usage ```python from datasets import load_dataset docs = load_dataset('irds/beir_fever', 'docs') for record in docs: record # {'doc_id': ..., 'text': ..., 'title': ...} queries = load_dataset('irds/beir_fever', 'queries') for record in queries: record # {'query_id': ..., 'text': ...} ``` 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{Thorne2018Fever, title = "{FEVER}: a Large-scale Dataset for Fact Extraction and {VER}ification", author = "Thorne, James and Vlachos, Andreas and Christodoulopoulos, Christos and Mittal, Arpit", booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)", month = jun, year = "2018", address = "New Orleans, Louisiana", publisher = "Association for Computational Linguistics", url = "https://www.aclweb.org/anthology/N18-1074", doi = "10.18653/v1/N18-1074", pages = "809--819" } @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", } ```