olivame/unifolm-world-model-action
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
UniGen-X
2025-09-19 10:18:07 +08:00
committed by GitHub
parent 1f21fe7fd8
commit 2d4d79ab3a
1 changed files with 1 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
README.md
View File

@@ -63,7 +63,7 @@ In our experiments, we consider the following three opensource dataset:
|Z1_DualArm_StackBox|[Unitree Z1](https://www.unitree.com/z1)|[Huggingface](https://huggingface.co/datasets/unitreerobotics/Z1_Dual_Dex1_StackBox_Dataset/tree/v2.1)| |Z1_DualArm_StackBox|[Unitree Z1](https://www.unitree.com/z1)|[Huggingface](https://huggingface.co/datasets/unitreerobotics/Z1_Dual_Dex1_StackBox_Dataset/tree/v2.1)|
|Z1_DualArm_StackBox_V2|[Unitree Z1](https://www.unitree.com/z1)|[Huggingface](https://huggingface.co/datasets/unitreerobotics/Z1_Dual_Dex1_StackBox_Dataset_V2/tree/v2.1)| |Z1_DualArm_StackBox_V2|[Unitree Z1](https://www.unitree.com/z1)|[Huggingface](https://huggingface.co/datasets/unitreerobotics/Z1_Dual_Dex1_StackBox_Dataset_V2/tree/v2.1)|
|Z1_DualArm_Cleanup_Pencils|[Unitree Z1](https://www.unitree.com/z1)|[Huggingface](https://huggingface.co/datasets/unitreerobotics/Z1_Dual_Dex1_CleanupPencils_Dataset/tree/v2.1)| |Z1_DualArm_Cleanup_Pencils|[Unitree Z1](https://www.unitree.com/z1)|[Huggingface](https://huggingface.co/datasets/unitreerobotics/Z1_Dual_Dex1_CleanupPencils_Dataset/tree/v2.1)|
|G1_Pack_Camera|[Unitree G1](https://huggingface.co/datasets/unitreerobotics/G1_Dex1_MountCameraRedGripper_Dataset/tree/v2.1) |G1_Pack_Camera|[Unitree G1](https://www.unitree.com/g1)|[Huggingface](https://huggingface.co/datasets/unitreerobotics/G1_Dex1_MountCameraRedGripper_Dataset/tree/v2.1)|
To train on your own dataset, first to have the data following the [Huggingface LeRobot V2.1](https://github.com/huggingface/lerobot) dataset format. Assume the dataset’s source directory structure is as follows: To train on your own dataset, first to have the data following the [Huggingface LeRobot V2.1](https://github.com/huggingface/lerobot) dataset format. Assume the dataset’s source directory structure is as follows:
``` ```