Concept-1K
收藏DataCite Commons2024-10-10 更新2025-04-16 收录
下载链接：
https://ieee-dataport.org/documents/concept-1k
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资源简介：
Concept-1K is a novel dataset designed to facilitate research on incremental learning in large language models. It comprises 1,023 concepts represented as knowledge triplets, focusing on recently emerged topics to minimize data leakage. By providing a fine-grained approach to evaluating model performance, Concept-1K enhances the understanding of how these models learn and retain new information.
提供机构：
IEEE DataPort
创建时间：
2024-10-10
