LanguageBind
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README.md
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license: mit
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---
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license: mit
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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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"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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# 6M HQ Panda70m
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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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"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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# 100k HQ data
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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.
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