THUIR/MemoryBench-Full

MemoryBench MemoryBench aims to provide a standardized and extensible benchmark for evaluating memory and continual learning in LLM systems — encouraging future work toward more adaptive, feedback-driven, and efficient LLM systems. Paper Link: https://arxiv.org/abs/2510.17281 Github: https://github.com/LittleDinoC/MemoryBench/ This is an extended version of MemoryBench. The training and test sets of THUIR/MemoryBench(the balanced version on which we conducted experiments in the… See the full description on the dataset page: https://huggingface.co/datasets/THUIR/MemoryBench-Full.

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