40 lines
1.4 KiB
Markdown
40 lines
1.4 KiB
Markdown
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**We need more dataset**, please refer to the [Open-Sora-Dataset](https://github.com/PKU-YuanGroup/Open-Sora-Dataset) for details.
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## v1.0.0
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### Text-to-Video
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We open source v1.0.0 all the training data, the annotations and the original video can be found [here](https://huggingface.co/datasets/LanguageBind/Open-Sora-Plan-v1.0.0).
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These data consist of segmented video clips, with each clip obtained through center cropping. The resolution of each clip is 512×512. There are 64 frames in each clip, and their corresponding captions can be found in the annotation files.
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We present additional details in [report](https://github.com/PKU-YuanGroup/Open-Sora-Plan/blob/main/docs/Report-v1.0.0.md#data-construction) and [Open-Sora-Dataset](https://github.com/PKU-YuanGroup/Open-Sora-Dataset).
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### Class-condition
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In order to download UCF-101 dataset, you can download the necessary files in [here](https://www.crcv.ucf.edu/data/UCF101.php). The code assumes a `ucf101` directory with the following structure
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```
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UCF-101/
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ApplyEyeMakeup/
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v1.avi
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...
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...
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YoYo/
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v1.avi
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...
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```
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### Un-condition
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We use [sky_timelapse](https://drive.google.com/open?id=1xWLiU-MBGN7MrsFHQm4_yXmfHBsMbJQo), which is an un-condition datasets.
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```
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sky_timelapse
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├── readme
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├── sky_test
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├── sky_train
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├── test_videofolder.py
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└── video_folder.py
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```
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