Datasetpublic

eunyoung927/smol-libero-v30

This dataset was created using LeRobot. It is a converted version of HuggingFaceVLA/smol-libero, updated from codebase_version v2.1 to v3.0. Dataset Card for Smol-LIBERO Dataset Summary Smol-LIBERO is a compact version of the LIBERO benchmark, built to make experimentation fast and accessible. At just 1.79 GB (compared to ~34 GB for the full LIBERO), it contains fewer trajectories and cameras while keeping the same multimodal structure. Each sample includes:… See the full description on the dataset page: https://huggingface.co/datasets/eunyoung927/smol-libero-v30.

sourceHugging Faceupdated 10mo agoView on Hugging Face

0likes47downloads

Dataset Card

This dataset was created using LeRobot.

It is a converted version of HuggingFaceVLA/smol-libero, updated from codebase_version v2.1 to v3.0.

Dataset Card for Smol-LIBERO

Dataset Summary

Smol-LIBERO is a compact version of the LIBERO benchmark, built to make experimentation fast and accessible. At just 1.79 GB (compared to ~34 GB for the full LIBERO), it contains fewer trajectories and cameras while keeping the same multimodal structure.

Each sample includes:

—Images from two fixed cameras
—Two types of robot state (end-effector pose + gripper, and full 7-DoF joint positions)
—Actions (7-DoF joint commands)

This setup is especially useful for comparing low-dimensional state inputs with high-dimensional visual inputs, or combining them in multimodal training.