AmazonScience/FalseReject download history

AmazonScience/FalseReject is a text generation dataset on the Hugging Face Hub. In the last 30 days it was downloaded 871 times (210 in the last 7 days), and 9,743 times in total. It ranks #21,428 among datasets by monthly downloads.

FalseReject: A Dataset for Over-Refusal Mitigation in Large Language Models FalseReject is a large-scale dataset designed to mitigate over-refusal behavior in large language models (LLMs)—the tendency to reject safe prompts that merely appear sensitive. It includes adversarially generated

Models trained on FalseReject

10 models list it as training data.

Open AmazonScience/FalseReject on Hugging Face

Sister project: Paper Pulse, the upvote history of every Hugging Face Daily Paper.