CLARU
Gwanwoo2026MIT

OGBench mirror: cube-quadruple-play-100m-v0

Unofficial mirror of the cube-quadruple-play-100m-v0 dataset from OGBench, a benchmark for offline goal-conditioned reinforcement learning. The dataset contains 100 million steps of simulated robotic manipulation data.

Downloads501

Why This Matters for Physical AI

OGBench provides a large-scale benchmark for evaluating offline goal-conditioned reinforcement learning algorithms, which is essential for developing robots that can learn from fixed datasets without online interaction.

Technical Profile

Environment
simulation
Task Types
manipulationgoal-conditioned
Data Format
npz
Annotation Types
goal_labels
License
MIT
Part of the OGBench family

Access

View on HuggingFace

Need custom physical AI data?

Claru builds purpose-built datasets for simulation applications with dense human annotations and quality assurance.

Request a Sample Pack

Related Datasets

OGBench: cube-triple-play-100m-v0

Unofficial mirror of the cube-triple-play-100m-v0 dataset from OGBench, a benchmark for offline goal-conditioned reinforcement learning. Contains 100 million steps of simulated robot manipulation data for cube manipulation tasks.

355 downloadsSep 2026mit

OGBench mirror: cube-double-play-v0

Unofficial mirror of the cube-double-play-v0 dataset from OGBench, a benchmark for offline goal-conditioned reinforcement learning. The dataset contains trajectories of a robotic system performing cube manipulation tasks in simulation.

73 downloadsSep 2026mit

OGBench mirror: antmaze-large-navigate-v0

Unofficial mirror of the antmaze-large-navigate-v0 dataset from OGBench, a benchmark for offline goal-conditioned reinforcement learning. The dataset consists of simulated ant navigation trajectories in a large maze environment.

proprioception
71 downloadsSep 2026mit

OGBench humanoidmaze-medium-navigate-v0

Unofficial mirror of the humanoidmaze-medium-navigate-v0 dataset from OGBench, a benchmark for offline goal-conditioned reinforcement learning. Contains trajectory data for training offline RL agents on humanoid navigation tasks in maze environments.

proprioception
70 downloadsSep 2026MIT

OGBench mirror: puzzle-4x4-play-v0

Unofficial mirror of the puzzle-4x4-play-v0 dataset from OGBench, a benchmark for offline goal-conditioned reinforcement learning. The dataset contains trajectories for a 4x4 puzzle manipulation task in simulation.

69 downloadsSep 2026mit

OGBench puzzle-3x3-play-v0

Unofficial mirror of the puzzle-3x3-play-v0 dataset from OGBench, a benchmark for offline goal-conditioned reinforcement learning. Contains data for training and evaluating goal-conditioned RL agents on a 3x3 puzzle task in MuJoCo simulation.

68 downloadsSep 2026MIT