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--- |
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license: mit |
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task_categories: |
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- table-question-answering |
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language: |
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- en |
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tags: |
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- rag |
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- tables |
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- multi-table |
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- question-answering |
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- fact-checking |
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- llm |
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configs: |
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- config_name: table |
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data_files: tabfact_table.jsonl |
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- config_name: test_query |
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data_files: tabfact_query.jsonl |
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--- |
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📄 [RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking](https://arxiv.org/abs/2504.01346) | 👨🏻💻 [Code](https://github.com/jiaruzouu/T-RAG) | 🤗 [MultiTableQA Hub Collection](https://huggingface.co/collections/jiaruz2/multitableqa-68dc8d850ea7e168f47cecd8) |
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This repository contains **MultiTableQA-TabFact**, one of the five datasets released as part of the comprehensive **MultiTableQA** benchmark. MultiTableQA-TabFact focuses on **table fact-checking** tasks. The overall MultiTableQA benchmark extends the traditional single-table QA setting into a multi-table retrieval and question answering benchmark, enabling more realistic and challenging evaluations. |
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Other datasets in the MultiTableQA benchmark include: |
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| Dataset | Link | |
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|-----------------------|------| |
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| MultiTableQA-TATQA | 🤗 [dataset link](https://huggingface.co/datasets/jiaruz2/MultiTableQA_TATQA) | |
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| MultiTableQA-TabFact | 🤗 [dataset link](https://huggingface.co/datasets/jiaruz2/MultiTableQA_TabFact) | |
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| MultiTableQA-SQA | 🤗 [dataset link](https://huggingface.co/datasets/jiaruz2/MultiTableQA_SQA) | |
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| MultiTableQA-WTQ | 🤗 [dataset link](https://huggingface.co/datasets/jiaruz2/MultiTableQA_WTQ) | |
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| MultiTableQA-HybridQA | 🤗 [dataset link](https://huggingface.co/datasets/jiaruz2/MultiTableQA_HybridQA)| |
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--- |
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### Sample Usage |
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To download and preprocess the **MultiTableQA** benchmark, navigate to the `table2graph` directory in the code repository and run the `prepare_data.sh` script: |
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```bash |
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cd table2graph |
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bash scripts/prepare_data.sh |
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``` |
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This script will automatically fetch the source tables, apply decomposition (row/column splitting), and generate the benchmark splits. |
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--- |
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# Citation |
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If you find our work useful, please cite: |
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```bibtex |
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@misc{zou2025rag, |
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title={RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking}, |
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author={Jiaru Zou and Dongqi Fu and Sirui Chen and Xinrui He and Zihao Li and Yada Zhu and Jiawei Han and Jingrui He}, |
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year={2025}, |
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eprint={2504.01346}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2504.01346}, |
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} |
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``` |
