Dataset · Hugging Face

jayzhu486/StreamingBench-Slice

Name: StreamingBench-Slice
Creator: jayzhu486
Keywords: task_categories:question-answering, language:en, size_categories:1K<n<10K, format:csv, modality:image, modality:text, modality:video, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2411.03628, arxiv:2503.12769, region:us

StreamingBench: Assessing the Gap for MLLMs to Achieve Streaming Video Understanding 🏠 Project Page | 📄 arXiv Paper | 📦 Dataset | 🏅Leaderboard StreamingBench evaluates Multimodal Large Language Models (MLLMs) in real-time, streaming video understanding tasks. 🌟 [NEW! 2025.05.15] 🔥: Seed1.5-VL achieved ALL model SOTA with a score of 82.80 on the Proactive Output. [NEW! 2025.03.17] ⭐: ViSpeeker achieved Open-Source SOTA with a score of 61.60 on the… See the full description on the dataset page: https://huggingface.co/datasets/jayzhu486/StreamingBench-Slice.

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Author / organization	jayzhu486
Downloads	388 (as reported by Hugging Face)
Likes	1
Created	4 April 2026
Last updated at source	4 April 2026

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