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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ ---
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+
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+ # 10M SAM
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+ The original json was obtained from [v1.1.0](https://huggingface.co/datasets/LanguageBind/Open-Sora-Plan-v1.1.0/tree/main/anno_jsons), just with the RESOLUTION information added.
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+ The format of image annotation file is as follows.
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+
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+ ```
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+ [
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+ {
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+ "path": "00168/001680102.jpg",
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+ "cap": [
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+ "xxxxx."
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+ ],
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+ "resolution": {
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+ "height": 512,
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+ "width": 683
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+ }
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+ },
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+ ...
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+ ]
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+ ```
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+
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+ # 6M HQ Panda70m
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+
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+ The format of video annotation file is as follows. Each element's path follows the structure: `part_x/youtube_id/youtube_id_segment_i.mp4`.
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+ Here, `part_x` is our custom organizational folder, which can be customed according to your download path.
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+ The `youtube_id` and `segment_i` can be obtained from the [original annotation file](https://github.com/snap-research/Panda-70M/tree/main/dataset_dataloading).
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+
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+ ```
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+ [
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+ {
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+ "path": "panda70m_part_5565/qLqjjDhhD5Q/qLqjjDhhD5Q_segment_0.mp4",
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+ "cap": [
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+ "A man and a woman are sitting down on a news anchor talking to each other."
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+ ],
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+ "resolution": {
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+ "height": 720,
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+ "width": 1280
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+ },
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+ "fps": 29.97002997002997,
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+ "duration": 11.444767
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+ },
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+ ...
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+ ]
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+ ```
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+
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+ # 100k HQ data
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+
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+ The original data was obtained from [v1.1.0](https://huggingface.co/datasets/LanguageBind/Open-Sora-Plan-v1.1.0/tree/main). We reorganized captions.