cvml-nus/spot-bench
SPOT-Bench (NeurIPS 2026 E&D Track) A fully proactive benchmark for streaming video models and interaction models. ⚡ TL;DR: SPOT-Bench requires a streaming model to monitor a live video stream and proactively decide when to respond. Every prediction across the full video is evaluated using the Timeliness-F1 metric. [!IMPORTANT] Detection tasks (ABD, PNR) are released in full. For Interaction (SQA, SPG) and Intervention (SI, UI) we release a representative validation set while… See the full description on the dataset page: https://huggingface.co/datasets/cvml-nus/spot-bench.
| Author / organization | cvml-nus |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 303 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 18 June 2026 |
| Last updated at source | 25 September 2026 |
Popularity, last 3 days
303 now (+13 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
Related papers
More from cvml-nus
- cvml-nus/assembly101Dataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.