meta-world
metaworldmetaworld_mt50This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "metaworld",
"total_episodes": 2500,
"total_frames": 204806,
"total_tasks": 50,
"chunks_size": 1000,
"fps": 80,
"splits": {
"train": "0:2500"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4"… See the full description on the dataset page: https://huggingface.co/datasets/lerobot/metaworld_mt50.Evo1_MetaWorld_Datasetvisual_masked_distracting_metaworld
Visual Masked Distracting Meta-World (ground-truth masks)
Author: Georgios Tsakoumakis
Thesis: Interaction-Masked Latent Action Models for Object-Aware Manipulation under Visual Distractors (MSc, Imperial College London)
Expert Meta-World manipulation trajectories rendered with dynamic video-background
distractors, augmented with ground-truth segmentation masks and pose for the
manipulated object: the agent mask plus two per-frame fields, object_mask and
object_state.
All… See the full description on the dataset page: https://huggingface.co/datasets/tsakman23/visual_masked_distracting_metaworld.visual_distracting_metaworld
Visual Distracting Meta-World with Agent Masks
Visual Distracting Meta-World with Agent Masks contains successful expert
trajectories for all 50 Meta-World
MT50 v3 manipulation tasks. Every visual observation includes agent masks: a
ground-truth robot-arm mask obtained from the simulator, a SAM 2.1
mask predicted from the clean observation, and a separate SAM 2.1 mask predicted
from the distracted observation. Each step pairs these masks with the same
underlying simulator state… See the full description on the dataset page: https://huggingface.co/datasets/EpicPinkPenguin/visual_distracting_metaworld.metaworld_ml45-v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "metaworld",
"total_episodes": 4391,
"total_frames": 358997,
"total_tasks": 44,
"total_videos": 0,
"total_chunks": 5,
"chunks_size": 1000,
"fps": 80,
"splits": {
"train": "0:4391"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/brandonyang/metaworld_ml45-v2.