Update README.md

README.md

@@ -1,24 +1,18 @@
----
-pretty_name: SQUALL
-language:
-- en
-license:
-- cc-by-4.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path:
-    - "train-0.json"
-    - "train-1.json"
-    - "train-2.json"
-    - "train-3.json"
-    - "train-4.json"
-  - split: validation
-    path: 
-    - "dev-0.json"
-    - "dev-1.json"
-    - "dev-2.json"
-    - "dev-3.json"
-    - "dev-4.json"
----
+## SQUALL Dataset
+To explore the utility of fine-grained, lexical-level supervision, authors introduce SQUALL, a dataset that enriches 11,276 WikiTableQuestions English-language questions with manually created SQL equivalents plus alignments between SQL and question fragments.
+
+## Code
+Please refer to our [github repo](https://github.com/tzshi/squall/) for code implementation.
+
+## Contact
+For any issues or questions, kindly email us at: Siyue Zhang (siyue001@e.ntu.edu.sg).
+
+## Citation
+```
+@inproceedings{Shi:Zhao:Boyd-Graber:Daume-III:Lee-2020,
+	Title = {On the Potential of Lexico-logical Alignments for Semantic Parsing to {SQL} Queries},
+	Author = {Tianze Shi and Chen Zhao and Jordan Boyd-Graber and Hal {Daum\'{e} III} and Lillian Lee},
+	Booktitle = {Findings of EMNLP},
+	Year = {2020},
+}
+```