Improve dataset card for MultiTableQA-TabFact: Add metadata, update links, clarify description, add sample usage, fix citation

README.md

@@ -1,15 +1,28 @@
 ---
+license: mit
+task_categories:
+- table-question-answering
+language:
+- en
+tags:
+- rag
+- tables
+- multi-table
+- question-answering
+- fact-checking
+- llm
 configs:
 - config_name: table
-  data_files: "tabfact_table.jsonl"
+  data_files: tabfact_table.jsonl
 - config_name: test_query
-  data_files: "tabfact_query.jsonl"
-
-license: mit
+  data_files: tabfact_query.jsonl
 ---
-📄 [Paper](https://arxiv.org/abs/2504.01346) | 👨🏻‍💻 [Code](https://github.com/jiaruzouu/T-RAG)
 
-For MultiTableQA, we release a comprehensive benchmark, including five different datasets covering table fact-checking, single-hop QA, and multi-hop QA: 
+📄 [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)
+
+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.
+
+Other datasets in the MultiTableQA benchmark include:
 | Dataset              | Link |
 |-----------------------|------|
 | MultiTableQA-TATQA    | 🤗 [dataset link](https://huggingface.co/datasets/jiaruz2/MultiTableQA_TATQA)   |
@@ -18,8 +31,18 @@ For MultiTableQA, we release a comprehensive benchmark, including five different
 | MultiTableQA-WTQ      | 🤗 [dataset link](https://huggingface.co/datasets/jiaruz2/MultiTableQA_WTQ)     |
 | MultiTableQA-HybridQA | 🤗 [dataset link](https://huggingface.co/datasets/jiaruz2/MultiTableQA_HybridQA)|
 
+---
+
+### Sample Usage
+
+To download and preprocess the **MultiTableQA** benchmark, navigate to the `table2graph` directory in the code repository and run the `prepare_data.sh` script:
+
+```bash
+cd table2graph
+bash scripts/prepare_data.sh
+```
 
-MultiTableQA extends the traditional single-table QA setting into a multi-table retrieval and question answering benchmark, enabling more realistic and challenging evaluations.
+This script will automatically fetch the source tables, apply decomposition (row/column splitting), and generate the benchmark splits.
 
 ---
 # Citation
@@ -27,8 +50,8 @@ MultiTableQA extends the traditional single-table QA setting into a multi-table
 If you find our work useful, please cite:
 
 ```bibtex
-@misc{zou2025gtrgraphtableragcrosstablequestion,
-      title={GTR: Graph-Table-RAG for Cross-Table Question Answering}, 
+@misc{zou2025rag,
+      title={RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking}, 
       author={Jiaru Zou and Dongqi Fu and Sirui Chen and Xinrui He and Zihao Li and Yada Zhu and Jiawei Han and Jingrui He},
       year={2025},
       eprint={2504.01346},