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  path: data/train-*
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  ---
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  ## πŸ”— Links
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- - [🌐 GitHub](https://github.com/Entroplay/Visual-Intelligence)
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- - [πŸ€— Dataset](https://huggingface.co/datasets/Entroplay/Visual-Intelligence)
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  - [πŸ“‘ Blog](https://entroplay.ai/research/video-intelligence)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  path: data/train-*
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  ---
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+ # Visual-Intelligence
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+
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  ## πŸ”— Links
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+ - [πŸ’Ύ Github Repo](https://github.com/Entroplay/Visual-Intelligence)
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+ - [πŸ€— HF Dataset](https://huggingface.co/datasets/Entroplay/Visual-Intelligence)
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  - [πŸ“‘ Blog](https://entroplay.ai/research/video-intelligence)
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+
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+ ## πŸ“– Dataset Introduction
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+
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+ ### Dataset Schema
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+
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+ - **id**: Unique sample identifier.
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+ - **input**: Ordered list describing the input context.
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+ - **type**: Either "image" or "text".
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+ - **content**: For "image", a relative path to the first-frame image. For "text", the prompt text.
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+ - **output**: Generated candidates and final selections by model.
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+ - **veo3**: Relative paths to videos generated by the VEO3 pipeline.
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+ - **framepack**: Relative paths to videos generated by FramePack across multiple runs.
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+ - **hunyuan**: Relative paths to videos generated by Hunyuan across multiple runs.
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+ - **wan2.2-5b**: Relative paths to videos generated by Wan-2.2-5B across multiple runs.
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+ - **wan2.2-14b**: Relative paths to videos generated by Wan-2.2-14B across multiple runs.
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+ - **framepack_seleted_video**: Selected best video among FramePack candidates.
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+ - **hunyuan_seleted_video**: Selected best video among Hunyuan candidates.
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+ - **wan2.2-5b_seleted_video**: Selected best video among Wan 2.2 5B candidates.
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+ - **wan2.2-14b_seleted_video**: Selected best video among Wan 2.2 14B candidates.
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+
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+ ### Data Format:
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+
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+ ```json
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+ {
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+ "id": 1,
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+ "input": [
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+ { "type": "image", "content": "thumbnails/mp4/keypoint_localization.jpg" },
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+ { "type": "text", "content": "Add a bright blue dot at the tip of the branch on which the macaw is sitting. ..." }
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+ ],
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+ "output": {
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+ "veo3": ["videos/mp4/keypoint_localization.mp4"],
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+ "framepack": [
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+ "videos/1_framepack_1.mp4",
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+ "videos/1_framepack_2.mp4"
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+ ],
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+ "hunyuan": [
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+ "videos/1_hunyuan_1.mp4",
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+ "videos/1_hunyuan_2.mp4"
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+ ],
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+ "wan2.2-5b": [
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+ "videos/1_wan2.2-5b_1.mp4",
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+ "videos/1_wan2.2-5b_2.mp4"
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+ ],
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+ "wan2.2-14b": [
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+ "videos/1_wan2.2-14b_1.mp4",
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+ "videos/1_wan2.2-14b_2.mp4"
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+ ],
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+ "framepack_seleted_video": "videos/1_framepack_1.mp4",
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+ "hunyuan_seleted_video": "videos/1_hunyuan_1.mp4",
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+ "wan2.2-5b_seleted_video": "videos/1_wan2.2-5b_1.mp4",
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+ "wan2.2-14b_seleted_video": "videos/1_wan2.2-14b_1.mp4"
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+ }
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+ }
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+ ```
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+
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+ ## πŸš€ About project
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+
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+ Google' Veo 3 shows extreme promise in visual intelligence, demonstrating strong visual commonsense and reasoning in visual generation. We aim to construct a fully open-source evaluation suite to measure current progress in video generative intelligence across various dimensions among several state-of-the-art proprietary and open-source models.