# MultiTQ
This is the dataset for the paper [Multi-granularity Temporal Question Answering over Knowledge Graphs](https://aclanthology.org/2023.acl-long.637) (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:



```bibtex
@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",
}
```



region:us
{}
TAGS
#region-us 

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.



Cite
----


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



TAGS
#region-us 

passage: TAGS
#region-us 
