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license: cc-by-4.0 |
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# HateSpeechCorpus |
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## Overview |
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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. |
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**Source:** Twitter |
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**Length:** 3003 tweets |
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**Annotators:** Three speech-language pathology graduate students |
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## Paper |
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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](https://arxiv.org/abs/2406.11109). |
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## Citation |
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If you use this dataset in your research, please cite the following paper: |
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@misc{das2024investigating, |
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title={Investigating Annotator Bias in Large Language Models for Hate Speech Detection}, |
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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}, |
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year={2024}, |
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eprint={2406.11109}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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# Load the dataset |
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df = pd.read_csv('HateSpeechCorpus.csv') |
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# Display the first few rows |
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print(df.head()) |
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## License: CC BY |
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## Contact |
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For any questions or feedback, feel free to contact the authors of the paper or the dataset contributors. |
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Contact Information: [email protected] |
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