jinzhuoran/

RWKU

	Dataset Card for Real-World Knowledge Unlearning Benchmark (RWKU)




	
	Dataset Summary

RWKU is a real-world knowledge unlearning benchmark specifically designed for large language models (LLMs). This benchmark contains 200 real-world unlearning targets and 13,131 multi-level forget probes, including 3,268 fill-in-the-blank probes, 2,879 question-answer probes, and 6,984 adversarial-attack probes. RWKU is designed based on the following three key factors:

For the task setting… See the full description on the dataset page: https://huggingface.co/datasets/jinzhuoran/RWKU.