Sign inGet started
Dataset ยท Hugging Face

liamdugan/raid

๐Ÿšจ RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors ๐Ÿšจ ๐ŸŒ Website, ๐Ÿ–ฅ๏ธ Github, ๐Ÿ“ 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. Loadโ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/liamdugan/raid.

Author / organizationliamdugan
License (as declared)mit
Downloads6K (as reported by Hugging Face)
Likes28
Created2 September 2024
Last updated at source17 September 2024
Embed this entry
<iframe src="https://silytics.si/embed/item/a27b4c52-209b-44b8-9fae-9ba9fc8f0268" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.