liamdugan/raid
๐จ RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors ๐จ ๐ Website, ๐ฅ๏ธ Github, ๐ Paper RAID is the largest & most comprehensive dataset for evaluating AI-generated text detectors. It contains over 10 million documents spanning 11 LLMs, 11 genres, 4 decoding strategies, and 12 adversarial attacks. It is designed to be the go-to location for trustworthy third-party evaluation of both open-source and closed-source generated text detectors. Loadโฆ See the full description on the dataset page: https://huggingface.co/datasets/liamdugan/raid.
| Author / organization | liamdugan |
|---|---|
| License (as declared) | mit |
| Downloads | 6K (as reported by Hugging Face) |
| Likes | 28 |
| Created | 2 September 2024 |
| Last updated at source | 17 September 2024 |
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