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README.md
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This holistic approach enables the development and validation of sophisticated video quality assessment models that can evaluate AI-generated videos across multiple critical dimensions, moving beyond simple aesthetic judgments to encompass technical accuracy, semantic consistency, and dynamic performance.
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## Annotation
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Each video in the dataset is annotated with the following attributes:
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For more detailed annotation guidelines(such as the meanings of different scores and annotation rules), please refer to:
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## Additional Feature
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The dataset includes two special features: `annotation` and `meta_result`.
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### Annotation
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This holistic approach enables the development and validation of sophisticated video quality assessment models that can evaluate AI-generated videos across multiple critical dimensions, moving beyond simple aesthetic judgments to encompass technical accuracy, semantic consistency, and dynamic performance.
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## Annotation Detail
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Each video in the dataset is annotated with the following attributes:
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For more detailed annotation guidelines(such as the meanings of different scores and annotation rules), please refer to:
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- [annotation_detail](https://flame-spaghetti-eb9.notion.site/VisioinReward-Video-Annotation-Detail-196a0162280e8077b1acef109b3810ff?pvs=4)
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- [annotation_detail_ch](https://flame-spaghetti-eb9.notion.site/VisionReward-Video-196a0162280e80e7806af42fc5808c99?pvs=4)
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## Additional Feature Detail
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The dataset includes two special features: `annotation` and `meta_result`.
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### Annotation
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