factual_reasoning

# Factual Reasoning

This repo contains the training data for the [Learning to Reason for Factuality](https://arxiv.org/abs/2508.05618) paper.

We also release our scalable VeriScore implementation here: https://github.com/facebookresearch/ScalableVeriScore

Our training code will be released in an upcoming version of [fairseq2](https://github.com/facebookresearch/fairseq2).

## Citation

If you use this data, please cite the following paper:

```bibtex
@misc{chen2025learning,
title={Learning to Reason for Factuality},
author={Xilun Chen and Ilia Kulikov and Vincent-Pierre Berges and Barlas Oğuz and Rulin Shao and Gargi Ghosh and Jason Weston and Wen-tau Yih},
year={2025},
eprint={2508.05618},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2508.05618},
}
```

## LICENSE

The Data is released CC-by-NC. The prompts and responses are outputs of Llama 4 and Llama 3.3, respectively, and subject to the respective licenses (https://github.com/meta-llama/llama-models/tree/main/models/llama4/LICENSE, https://github.com/meta-llama/llama-models/blob/main/models/llama3_3/LICENSE). If you use of this portion of the data to create, train, fine tune, or otherwise improve an AI model, which is distributed or made available, you shall also include “Llama” at the beginning of any such AI model name. Third party content pulled from other locations are subject to its own licenses and you may have other legal obligations or restrictions that govern your use of that content.

# 事实性推理
本仓库包含论文《面向事实性的推理学习》（Learning to Reason for Factuality）的训练数据集，相关论文链接为https://arxiv.org/abs/2508.05618。
我们还在此处发布了可扩展的VeriScore实现：https://github.com/facebookresearch/ScalableVeriScore。
我们的训练代码将在即将发布的fairseq2版本中发布，相关仓库链接为https://github.com/facebookresearch/fairseq2。

## 引用
若您使用本数据集，请引用如下论文：
bibtex
@misc{chen2025learning,
title={Learning to Reason for Factuality},
author={Xilun Chen and Ilia Kulikov and Vincent-Pierre Berges and Barlas Oğuz and Rulin Shao and Gargi Ghosh and Jason Weston and Wen-tau Yih},
year={2025},
eprint={2508.05618},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2508.05618},
}

## 许可协议
本数据集采用CC-by-NC许可协议发布。本数据集的提示词与回复分别源自Llama 4与Llama 3.3，其使用需遵循对应许可协议：https://github.com/meta-llama/llama-models/tree/main/models/llama4/LICENSE 与 https://github.com/meta-llama/llama-models/blob/main/models/llama3_3/LICENSE。若您使用本数据集的该部分内容创建、训练、微调或以其他方式改进AI模型，并对该模型进行分发或公开，则需在该AI模型名称的开头添加“Llama”字样。从其他渠道获取的第三方内容需遵循其自身许可协议，您可能需遵守其他相关法律义务或限制以使用此类内容。