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