cy-330/CMR-Bench

CMR-Bench A 1,500-sample benchmark for proactive video assistants: an assistant watches a video stream alongside the user, follows the criteria the user states in natural language, and must speak up at the right moments — and stay quiet at the wrong ones. Every sample is drawn from a 15,000-sample annotation pool and passed a multi-stage selection: schema filters, a text audit and a frame-grounded audit (both model-based), a per-category capability gate, a burned-in-subtitle… See the full description on the dataset page: https://huggingface.co/datasets/cy-330/CMR-Bench.

<iframe src="https://silytics.si/embed/item/9e189637-c45f-457b-809b-da0a4866800f" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

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 Information may be incomplete or out of date.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.