HateSpeechCorpus

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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 ---