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StreamEval benchmark for long interactive streaming video generation now on ModelScope

AIModelScope releases StreamEval, a benchmark of 300 interactive sessions lasting 15 to 300 seconds for evaluating streaming video generation. It scores five tasks across ten metrics, and tests of 37 models found strong visual quality did not reliably mean better instruction following or sustained state consistency.
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StreamEval is now on ModelScope for evaluating interactive streaming video generation across 15 to 300-second sessions.
🤖 https://modelscope.ai/datasets/StreamEval/StreamEval
📄 https://modelscope.ai/papers/2610.28402

🎬 300 long-form interactive sessions: Each 15 to 300-second case delivers multimodal requests over time and checks both state changes and content preservation.
🧩 Five tasks, ten metrics: Covers avatar dialogue, avatar performance, world generation, instruction editing, and reference editing across execution, consistency, visual fidelity, and audiovisual coordination.
📊 Visual quality is not enough: Across 37 models, strong visuals and identity retention did not reliably mean better instruction following or sustained state consistency.
🔓 Fully open and updated monthly: Benchmark data, evaluation code, protocols, and scoring rules are public, with monthly leaderboard updates for new and updated models.
📜 Benchmark data: CC BY 4.0. Evaluation code: Apache 2.0. Third-party editing footage requires attribution.

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Original title: StreamEval is now on ModelScope for evaluating interactive streaming video generation across 15 to 300-second sessions.