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Dataset ยท Hugging Face

donghao-zhou/ThinkV2V-Bench

๐Ÿ“Œ 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 65โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/donghao-zhou/ThinkV2V-Bench.

Author / organizationdonghao-zhou
License (as declared)cc-by-nc-4.0
Downloads431 (as reported by Hugging Face)
Likes1
Created6 August 2026
Last updated at source6 August 2026
video-editinginstruction-guided-video-editingreasoningmllmbenchmark
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