license:mit size_categories:n<1K format:json modality:tabular modality:text library:datasets library:dask library:mlcroissant region:us
---
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 dataset:
```
cyber_pipette # dataset root path
  └── data/
      ├── metadata_ID1_240808.json
      ├── segment_ids_ID1_240808.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_ID1_240808.bin # 16x16 image patches at 30hz, 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": "Pipette",
    "total_episodes": 8589,
    "total_frames": 10384598,
    "token_dtype": "uint32",
    "vocab_size": 262144,
    "fps": 30,
    "manipulation_type": "Bi-Manual",
    "language_annotation": "None",
    "scene_type": "Table Top",
    "data_collect_method": "Directly Collection on Human"
}
```