vlabench
Datasets
All datasets matching “vlabench”vlabench_primitive_pretrain_lerobot
Datacard
This is the official VLABench primitive pretraining dataset converted to the
LeRobot format. The dataset contains language-conditioned manipulation
trajectories collected with a Franka Panda robot in VLABench simulation.
This LeRobot version is hosted at:
https://huggingface.co/datasets/VLABench/vlabench_primitive_pretrain_lerobot
Source
Project Page: https://vlabench.github.io/
Arxiv Paper: https://arxiv.org/abs/2412.18194
Code:… See the full description on the dataset page: https://huggingface.co/datasets/VLABench/vlabench_primitive_pretrain_lerobot.vlabench-assetsrabench-vlabench-unified-libero-v1
VLABench Data Prep
This directory contains an independent, non-Docker data conversion workflow for
turning lerobot/libero into an episode-based HDF5 format that is easier for
RABench agents to consume.
Goal
The source lerobot/libero dataset is distributed as:
parquet tables for numeric columns
mp4 video shards for image streams
separate metadata parquet files for tasks and episode boundaries
That structure is compact, but it is awkward for an agent to discover and use… See the full description on the dataset page: https://huggingface.co/datasets/BiggerXu/rabench-vlabench-unified-libero-v1.vlabench_composite_ft_lerobot_videovlabench_primitive_ft_lerobot_video
VLABench Primitive Tasks Dataset - LeRobot v3.0
Dataset Description
This dataset is organized in the LeRobot v3.0 format and is used for integrating VLABench into the LeRobot framework officially.
Compared with the v2.0 version and the RLDS version of the dataset, this release stores visual observations in a video-compressed format rather than as individual image files. This design provides significant advantages in both storage efficiency and data loading performance.… See the full description on the dataset page: https://huggingface.co/datasets/VLABench/vlabench_primitive_ft_lerobot_video.vlm_evaluation_v1.0
Datacard
This dataset is the evaluation VLM dataset used in VLABench. It is designed to evaluate the planning capabilities of Vision-Language Models (VLMs) in embodied scenarios.
Source
Project Page: https://vlabench.github.io/
Arxiv Paper: https://arxiv.org/abs/2412.18194
Code: https://github.com/OpenMOSS/VLABench
Uses
The dataset structure is as follows:
vlm_evaluation_v1.0/
├── CommenSence/
├── add_condiment_common_sense/
├──… See the full description on the dataset page: https://huggingface.co/datasets/VLABench/vlm_evaluation_v1.0.