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--- |
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pretty_name: SciFact |
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license: cc-by-nc-2.0 |
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task_categories: |
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- text-classification |
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language: |
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- en |
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--- |
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## Dataset Description |
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This is yet another attempt to have a useful dataset script for SciFact. In constrast to the [original script by AllenAI](https://huggingface.co/datasets/allenai/scifact), we provide two views (config names), each **consisting of all the data**: |
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1. `as_claims`: Instances are claims with its `cited_doc_ids` resolved to their actual document content, saved in `cited_docs`, and |
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2. `as_documents`: Instances are documents with its related claims, i.e. claims that originally linked the document at hand via `cited_doc_ids`. |
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### Citation Information |
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``` |
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@inproceedings{wadden-etal-2020-fact, |
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title = "Fact or Fiction: Verifying Scientific Claims", |
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author = "Wadden, David and |
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Lin, Shanchuan and |
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Lo, Kyle and |
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Wang, Lucy Lu and |
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van Zuylen, Madeleine and |
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Cohan, Arman and |
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Hajishirzi, Hannaneh", |
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booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)", |
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month = nov, |
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year = "2020", |
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address = "Online", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2020.emnlp-main.609", |
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doi = "10.18653/v1/2020.emnlp-main.609", |
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pages = "7534--7550", |
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} |
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``` |
