---
license: mit
---

# 10M SAM
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.

The format of image annotation file is as follows.

```
[
  {
    "path": "00168/001680102.jpg",
    "cap": [
      "xxxxx."
    ],
    "resolution": {
      "height": 512,
      "width": 683
    }
  },
  ...
]
```

# 6M HQ Panda70m

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`. 
Here, `part_x` is our custom organizational folder, which can be customed according to your download path. 
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).

```
[
  {
    "path": "panda70m_part_5565/qLqjjDhhD5Q/qLqjjDhhD5Q_segment_0.mp4",
    "cap": [
      "A man and a woman are sitting down on a news anchor talking to each other."
    ],
    "resolution": {
      "height": 720,
      "width": 1280
    },
    "fps": 29.97002997002997,
    "duration": 11.444767
  },
  ...
]
```

# 100k HQ data

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.