tencent/Hy-Nomas-Bench
中文 ｜ English Hy-Nomas-Bench: a Versatile Benchmark Designed for World Models Introduction Hy-Nomas-Bench is a benchmark suite for evaluating interactive video world models, with 280 test cases across four tasks: multi-turn free-form text interaction, camera navigation, interleaved text and camera control, and spatial memory. It tests whether models can follow successive instructions, generate physically plausible responses, execute camera… See the full description on the dataset page: https://huggingface.co/datasets/tencent/Hy-Nomas-Bench.
| Author / organization | tencent |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1.7K (as reported by Hugging Face) |
| Likes | 16 |
| Created | 22 October 2026 |
| Last updated at source | 28 October 2026 |
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- 28 Oct 2026 Description: 中文 ｜ English Hy-Nomas-Bench 280 test cases for interaction controllability in video world models. 🚀 Try the Demo → Hy-Nomas-Bench evaluates continuous video generation under text instructions, keyboard camera controls, and combin → 中文 ｜ English Hy-Nomas-Bench: a Versatile Benchmark Designed for World Models Introduction Hy-Nomas-Bench is a benchmark suite for evaluating interactive video world models, with 280 test cases across four tasks: multi-turn free-fo
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