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 / organization | anon4data |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 270 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 2 May 2026 |
| Last updated at source | 8 May 2026 |
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.