Sign inGet started
Dataset · Hugging Face

vCache/SemBenchmarkLmArena

The SemCacheLMArena benchmark is designed to evaluate semantic caching in chatbot environments, where users may issue semantically similar prompts with different phrasing. In such settings, caches must generalize across diverse surface forms while maintaining response correctness. This benchmark captures these challenges by grouping semantically similar user inputs and testing whether caching systems can reuse responses accurately. To construct the benchmark, we use the LM-Arena human… See the full description on the dataset page: https://huggingface.co/datasets/vCache/SemBenchmarkLmArena.

Author / organizationvCache
License (as declared)apache-2.0
Downloads616 (as reported by Hugging Face)
Likes3
Created16 May 2025
Last updated at source27 July 2025
Embed this entry
<iframe src="https://silytics.si/embed/item/4ed0e70e-32cf-4a25-a8e4-197666d88a42" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from vCache

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 Information may be incomplete or out of date.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.