cyberorigin/cyber_alita_cropped

---
license: mit
---

## CyberOrigin Dataset

Our data includes information from home services, the logistics industry, and laboratory scenarios.
For more details, please refer to our [Offical Data Website](https://cyberorigin2077.github.io/)

contents of the dataset:
```
cyber_alita_cropped # dataset root path
└── data/
├── metadata_Traj01.json
├── segment_ids_Traj01.bin # for each frame segment_ids uniquely points to the segment index that frame i came from. You may want to use this to separate non-contiguous frames from different videos (transitions).
├── videos_Traj01.bin # 16x16 image patches at 15hz, each patch is vector-quantized into 2^18 possible integer values. These can be decoded into 256x256 RGB images using the provided magvit2.ckpt weights.
├── ...
└── ...
```

```json
{
"task": "ALITA",
"total_episodes": ,
"total_frames": ,
"token_dtype": "uint32",
"vocab_size": 262144,
"fps": 15,
"language_annotation": "None",
}
```

许可证：MIT协议

# CyberOrigin 数据集
本数据集涵盖家庭服务、物流行业及实验室场景的相关信息。如需获取更多细节，请访问我们的[官方数据网站](https://cyberorigin2077.github.io/)。

数据集内容如下：

cyber_alita_cropped # 数据集根目录路径
└── data/
├── metadata_Traj01.json
├── segment_ids_Traj01.bin # 针对每一帧，segment_ids会唯一指向该帧所属的片段索引，可利用该文件区分来自不同视频的非连续帧（即转场片段）。
├── videos_Traj01.bin # 以15Hz帧率采集的16×16图像块，每个图像块经向量量化(vector-quantized)处理后映射至2^18个可能的整数值。可通过提供的magvit2.ckpt权重文件将其解码为256×256的RGB图像。
├── ...
└── ...

json
{
"任务": "ALITA",
"总回合数": ,
"总帧数": ,
"Token数据类型": "uint32",
"词表大小": 262144,
"帧率": 15,
"语言标注": "无"
}