Add link to paper and task category
Browse filesThis PR ensures the dataset is linked to (and can be found at) https://huggingface.co/papers/2502.05433.
README.md
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license: cc-by-nc-4.0
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# LongV-EVAL: A Benchmark for Long Video Editing Evaluation
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LongV-EVAL is a benchmark dataset designed for evaluating text-driven long video editing methods. It consists of 75 high-quality videos, each approximately one minute long, covering diverse domains such as landscapes, people, and animals. The dataset provides meticulously annotated editing prompts for three aspects: foreground, background, and style, enabling comprehensive evaluation of editing quality, temporal consistency, and semantic alignment.
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## Dataset Structure
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license: cc-by-nc-4.0
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task_categories:
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- video-to-video
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# LongV-EVAL: A Benchmark for Long Video Editing Evaluation
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[Paper](https://huggingface.co/papers/2502.05433)
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LongV-EVAL is a benchmark dataset designed for evaluating text-driven long video editing methods. It consists of 75 high-quality videos, each approximately one minute long, covering diverse domains such as landscapes, people, and animals. The dataset provides meticulously annotated editing prompts for three aspects: foreground, background, and style, enabling comprehensive evaluation of editing quality, temporal consistency, and semantic alignment.
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## Dataset Structure
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