Datasets:
metadata
task_categories:
- reinforcement-learning
- robotics
license: mit
Ball Maze Environment Dataset
This dataset contains episodes of a ball maze environment, converted to the LeRobot format for visualization and training.
Dataset Structure
Sagar18/ball-maze-lerobot/
├── data/ # Main dataset files
├── metadata/ # Dataset metadata
│ └── info.json # Configuration and version info
├── episode_data_index.safetensors # Episode indexing information
└── stats.safetensors # Dataset statistics
Features
- RGB camera view of the maze environment
- State space representation (x, y, dx, dy)
- Actions (2D force vector)
- Episode indexing and timestamps
Usage
from datasets import load_dataset
dataset = load_dataset("Sagar18/ball-maze-lerobot", "data") # Use the data subfolder
Metadata
The metadata contains configuration information and can be accessed separately:
import json
from huggingface_hub import hf_hub_download
info_path = hf_hub_download(repo_id="Sagar18/ball-maze-lerobot", filename="metadata/info.json")
with open(info_path) as f:
info = json.load(f)