HateSpeechCorpus

HateSpeechCorpus is a dataset collected from Twitter, consisting of 3003 tweets. It has been meticulously annotated by three speech-language pathology graduate students, ensuring high-quality labeling of hate speech. This dataset is invaluable for researchers and practitioners working on hate speech detection and natural language processing.

Source: Twitter
Length: 3003 tweets
Annotators: Three speech-language pathology graduate students

Paper

For a detailed investigation of annotator bias in LLMs for hate speech detection, refer to the associated paper: Investigating Annotator Bias in Large Language Models for Hate Speech Detection.

Citation

If you use this dataset in your research, please cite the following paper:

@misc{das2024investigating, title={Investigating Annotator Bias in Large Language Models for Hate Speech Detection}, author={Amit Das and Zheng Zhang and Fatemeh Jamshidi and Vinija Jain and Aman Chadha and Nilanjana Raychawdhary and Mary Sandage and Lauramarie Pope and Gerry Dozier and Cheryl Seals}, year={2024}, eprint={2406.11109}, archivePrefix={arXiv}, primaryClass={cs.CL} }

Load the dataset

df = pd.read_csv('HateSpeechCorpus.csv')

Display the first few rows

print(df.head())

License: CC BY

Contact Information: azd0123@auburn.edu