donghao-zhou/ThinkV2V-Bench
๐ Benchmark Summary ThinkV2V-Bench is a complex instruction benchmark for instruction-guided video editing. It is derived from OpenVE-Bench, while focusing on editing categories where multimodal large language model (MLLM) thinking is more important for understanding and executing the requested transformation. ThinkV2V-Bench contains 308 samples from five spatial editing categories: background_change 59 global_style 58 local_add 67 local_change 65โฆ See the full description on the dataset page: https://huggingface.co/datasets/donghao-zhou/ThinkV2V-Bench.
| Author / organization | donghao-zhou |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 431 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 6 August 2026 |
| Last updated at source | 6 August 2026 |
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