Update README.md

README.md

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 license: mit
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+# Dataset of our EMNLP 2019 Paper (Multilingual and Multi-Aspect Hate Speech Analysis)
+For more details about our dataset, please check our paper:
+
+	@inproceedings{ousidhoum-etal-multilingual-hate-speech-2019,
+    		title = "Multilingual and Multi-Aspect Hate Speech Analysis",
+    		author = "Ousidhoum, Nedjma
+             		and Lin, Zizheng
+             		and Zhang, Hongming
+            		and Song, Yangqiu
+            		and Yeung, Dit-Yan",
+    			booktitle = "Proceedings of EMNLP",
+    		year = "2019",
+    		publisher =	"Association for Computational Linguistics",
+	}	
+
+(You can preview our paper on https://arxiv.org/pdf/1908.11049.pdf)
+
+## Clarification
+The multi-labelled tasks are *the hostility type of the tweet* and the *annotator's sentiment*. (We kept labels on which at least two annotators agreed.)
+
+## Taxonomy
+In further experiments that involved binary classification tasks of the hostility/hate/abuse type, we considered single-labelled *normal* instances to be *non-hate/non-toxic* and all the other instances to be *toxic*.
+
+## Dataset
+Our dataset is composed of three csv files sorted by language. They contain the tweets and the annotations described in our paper:
+
+the hostility type *(column: tweet sentiment)* 
+
+hostility directness *(column: directness)* 
+
+target attribute *(column: target)*
+
+target group *(column: group)* 
+
+annotator's sentiment *(column: annotator sentiment)*.
+
+## Experiments
+
+To replicate our experiments, please see https://github.com/HKUST-KnowComp/MLMA_hate_speech/blob/master/README.md 
+