🚨 RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors 🚨
🌐 Website, 🖥️ Github, 📝 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.
Load… See the full description on the dataset page: https://huggingface.co/datasets/liamdugan/raid.
