README.md

---
license: cc-by-nc-sa-4.0
task_categories:
- text-classification
language:
- en
tags:
- hate speech
- hate speech detection
- hate-speech
- tweets
- social media
- 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 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.