Create README.md

README.md

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+# 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",
+}
+```
+
+```
+[1] Ziyang Chen, Jinzhi Liao, and Xiang Zhao. 2023. Multi-granularity Temporal Question Answering over Knowledge Graphs. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 11378–11392, Toronto, Canada. Association for Computational Linguistics.
+```