xiaowu0162/

longmemeval-v2

Project Page | Paper | GitHub LongMemEval-V2 (LME-V2) is an evaluation benchmark for long-term memory in web and enterprise agents. It contains 451 manually curated questions and 1,870 task trajectories drawn from customized WebArena-style and ServiceNow-style environments. The benchmark evaluates five core memory abilities:

Static state recall: remembers important landmarks and page layouts. Dynamic state tracking: understands how states change over time.… See the full description on the dataset page: https://huggingface.co/datasets/xiaowu0162/longmemeval-v2.