Update README.md

README.md

@@ -1,3 +1,39 @@
 ---
 license: cc-by-nc-sa-4.0
+task_categories:
+- text-classification
+language:
+- en
+tags:
+- hate speech
+- hate speech detection
+- hate-speech
+- tweets
+- social media
+- topic
+- hate-speech-detection
+- gender identity
+- gender
 ---
+
+The "gender identity" subset of the large-scale dataset published in the LREC 2022 paper "Large-Scale Hate Speech Detection with Cross-Domain Transfer". 
+
+This subset is also used in the experiments of "Şahinuç, F., Yilmaz, E. H., Toraman, C., & Koç, A. (2023). The effect of gender bias on hate speech detection. Signal, Image and Video Processing, 17(4), 1591-1597."
+
+The "gender identity" subset includes 20,000 tweets in English.
+
+The published data split is the first fold of 10-fold cross-validation, used in the experiments mentioned above.
+
+Train split has 18,000 tweets. Test split has 2,000 tweets.
+
+HateLabel: 	
+- 0 Normal
+- 1 Offensive
+- 2 Hate
+
+# GitHub Repo: 
+https://github.com/avaapm/hatespeech
+
+# If you use this dataset, please cite the following papers:
+- Toraman, C., Şahinuç, F., & Yilmaz, E. (2022, June). Large-Scale Hate Speech Detection with Cross-Domain Transfer. In Proceedings of the Thirteenth Language Resources and Evaluation Conference (pp. 2215-2225).
+- Şahinuç, F., Yilmaz, E. H., Toraman, C., & Koç, A. (2023). The effect of gender bias on hate speech detection. Signal, Image and Video Processing, 17(4), 1591-1597.