Omkar2118/datasets huggingface dataset:
Concept-1K
Full name: Concept-1K

Concept-1K contains 1023 novel concepts from six domains, including economy, culture, science and technology, environment, education, and health and medical. 
It has 16653 training-test QA pairs corresponding to 16653 knowledge points from 1023 concepts.
It is proposed for evaluating the forgetting in large language models and the effectiveness of incremental learning algorithms.

Introducing paper: Can LLMs Learn New Concepts Incrementally without Forgetting?