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---
datasets:
- allenai/scifact
language:
- en
---

# SciFact - Processed Subset

This dataset is a curated subset of **SciFact**, organized into nested tiers for progressive benchmarking and scalable oversight experiments.

## Tier Structure
The samples are organized into three cumulative tiers:
* **Small**: The base subset.
* **Medium**: Includes all "Small" samples plus additional entries.
* **Large**: Includes all "Medium" samples, representing the full subset.

## Citation
If you use this dataset, please cite the original work:

```bibtex
@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",
editor = "Webber, Bonnie and
Cohn, Trevor and
He, Yulan and
Liu, Yang",
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/](https://aclanthology.org/2020.emnlp-main.609/)",
doi = "10.18653/v1/2020.emnlp-main.609",
pages = "7534--7550"
}

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