MultiTQ / README.md
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MultiTQ

This is the dataset for the paper Multi-granularity Temporal Question Answering over Knowledge Graphs (Chen et al., ACL 2023).

MULTITQ is a large-scale dataset featuring ample relevant facts and multiple temporal granularities.

Example questions Answer
Who condemned Abhisit Vejjajiva in May 2010? Thailand
Who was the first to visit the Middle East in 2008? Frank Bainimarama
When did the Aam Aadmi Party first negotiated with Harish Rawat? 2015-12-13
Who expressed intent to engage in diplomatic cooperation with Ethiopia before Jun 25th, 2006? China

Cite

If you find our method, code, or experimental setups useful, please cite our paper:

@inproceedings{chen-etal-2023-multi,
    title = "Multi-granularity Temporal Question Answering over Knowledge Graphs",
    author = "Chen, Ziyang  and
      Liao, Jinzhi  and
      Zhao, Xiang",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.acl-long.637",
    pages = "11378--11392",
}