Update README.md

README.md

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 license: cc-by-sa-4.0
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+
+# Dataset
+## Topic-exclusive split
+The training dataset contains popular topics (instances), while other topics are in the test and validation datasets.
+* test_diff.json
+* training_diff.json
+* validation_diff.json
+
+## Topic-independent split
+Topics are randomly selected in datasets. For a common purpose, we suggest THESE DATASETS.
+* test_random.json
+* training_random.json
+* validation_random.json
+
+# GitHub
+* https://github.com/declare-lab/WikiDes/ 
+
+
+# Citation
+
+## APA
+Ta, H. T., Rahman, A. B. S., Majumder, N., Hussain, A., Najjar, L., Howard, N., ... & Gelbukh, A. (2022). WikiDes: A Wikipedia-based dataset for generating short descriptions from paragraphs. *Information Fusion*.
+
+## BibTeX
+```
+@article{Ta_2022,	
+doi = {10.1016/j.inffus.2022.09.022},	
+url = {https://doi.org/10.1016%2Fj.inffus.2022.09.022},	
+year = 2022,	
+month = {sep},	
+publisher = {Elsevier {BV}},	
+author = {Hoang Thang Ta and Abu Bakar Siddiqur Rahman and Navonil Majumder and Amir Hussain and Lotfollah Najjar and Newton Howard and Soujanya Poria and Alexander Gelbukh},	
+title = {{WikiDes}: A Wikipedia-based dataset for generating short descriptions from paragraphs},	
+journal = {Information Fusion}}
+```
+
+# Paper links
+* https://doi.org/10.1016%2Fj.inffus.2022.09.022
+* https://arxiv.org/abs/2209.13101
+
+# Contact
+Hoang Thang Ta, tahoangthang@gmail.com