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---
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. |