Open-Sora-Plan-v1.1.0

## Annotation

We resized the dataset to 1080p for easier uploading. Therefore, the original annotation file might not match the video names. Please refer to this https://github.com/PKU-YuanGroup/Open-Sora-Plan/issues/312#issuecomment-2197312973

## Pexels
Pexels consists of multiple folders, but each folder exceeds the size limit for Huggingface uploads. Therefore, we divided each folder into 5 parts. You need to merge the 5 parts of each folder first, and then extract each part.

## Pixabay
Pixabay has also been compressed into multiple parts. After extracting them, all videos should be placed into a single folder.

## SAM
For SAM data, please download from the official [link](https://ai.meta.com/datasets/segment-anything/). After downloading 1000 compressed files, extract all the images into a single folder.

## Anytext
For Anytext-3M, we only provide the annotation files. Please follow the official [guidelines](https://github.com/tyxsspa/AnyText) to download the image data.

标注说明：为便于上传，我们已将数据集调整至1080p分辨率。因此原始标注文件可能与视频文件名不匹配，请参考以下链接：https://github.com/PKU-YuanGroup/Open-Sora-Plan/issues/312#issuecomment-2197312973

## Pexels
Pexels数据集包含多个文件夹，但单个文件夹的大小均超出Huggingface平台的上传限制，因此我们将每个文件夹拆分为5个子部分。请先合并对应文件夹的5个子部分，再执行解压提取操作。

## Pixabay
Pixabay数据集同样被压缩为多个分卷文件，解压完成后需将所有视频文件整合至同一文件夹中。

## SAM（Segment Anything）
关于SAM数据集，请从官方链接（https://ai.meta.com/datasets/segment-anything/）下载。在下载完成全部1000个压缩文件后，将所有图像解压至同一文件夹内。

## Anytext
针对Anytext-3M数据集，我们仅提供标注文件，请遵循官方指南（https://github.com/tyxsspa/AnyText）下载对应的图像数据。