ibm-research/tab_fact

---
license: cc-by-4.0
task_categories:
- text-classification
---

- **Homepage:** [TabFact](https://tabfact.github.io/index.html)
- **Repository:** [GitHub](https://github.com/wenhuchen/Table-Fact-Checking)
- **Paper:** [TabFact: A Large-scale Dataset for Table-based Fact Verification](https://arxiv.org/abs/1909.02164)

### Dataset Summary

tab_fact is a large-scale dataset for the task of fact-checking on tables. Original dataset is available @ https://huggingface.co/datasets/tab_fact and this is a slightly modified version of the dataset wherein the tabular data is processed into a specific format for ease of use.

### Citation Information

```
@inproceedings{2019TabFactA,
title={TabFact : A Large-scale Dataset for Table-based Fact Verification},
author={Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou and William Yang Wang},
booktitle = {International Conference on Learning Representations (ICLR)},
address = {Addis Ababa, Ethiopia},
month = {April},
year = {2020}
}
```

---
许可证：知识共享署名4.0协议（CC BY 4.0）
任务类别：
- 文本分类
---

- **官方主页：** [TabFact](https://tabfact.github.io/index.html)
- **代码仓库：** [GitHub](https://github.com/wenhuchen/Table-Fact-Checking)
- **相关论文：** [TabFact：面向表格事实验证的大规模数据集](https://arxiv.org/abs/1909.02164)

### 数据集概览
TabFact是面向表格事实验证任务的大规模数据集。原始数据集可通过链接https://huggingface.co/datasets/tab_fact 获取，本版本为该数据集的小幅修改版，其中表格数据已被处理为特定格式以提升易用性。

### 引用信息

@inproceedings{2019TabFactA,
title={TabFact：面向表格事实验证的大规模数据集},
author={Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou and William Yang Wang},
booktitle = {国际学习表征会议（ICLR）},
address = {埃塞俄比亚亚的斯亚贝巴},
month = {4月},
year = {2020}
}