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--- |
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license: cc-by-4.0 |
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task_categories: |
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- text-classification |
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--- |
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- **Homepage:** [TabFact](https://tabfact.github.io/index.html) |
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- **Repository:** [GitHub](https://github.com/wenhuchen/Table-Fact-Checking) |
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- **Paper:** [TabFact: A Large-scale Dataset for Table-based Fact Verification](https://arxiv.org/abs/1909.02164) |
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### Dataset Summary |
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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. |
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### Citation Information |
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``` |
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@inproceedings{2019TabFactA, |
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title={TabFact : A Large-scale Dataset for Table-based Fact Verification}, |
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author={Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou and William Yang Wang}, |
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booktitle = {International Conference on Learning Representations (ICLR)}, |
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address = {Addis Ababa, Ethiopia}, |
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month = {April}, |
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year = {2020} |
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} |
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``` |
