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Dataset · Hugging Face

anon4data/socialmembench

SocialMemBench A benchmark for evaluating AI memory systems in multi-party social group conversations. SocialMemBench targets the memory architecture (write / index / retrieve substrate) rather than the raw LLM, and asks whether the system can recover the right speaker's preference, track group decisions, distinguish norms from individual stances, and follow how preferences evolve across sessions. Quick start from datasets import load_dataset networks =… See the full description on the dataset page: https://huggingface.co/datasets/anon4data/socialmembench.

Author / organizationanon4data
License (as declared)cc-by-4.0
Downloads270 (as reported by Hugging Face)
Likes0
Created2 May 2026
Last updated at source8 May 2026
aimemorysocial-groupsconversational-aibenchmarkmulti-party
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