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Datasets:
binhpham
/
driving-dataset-2

Tasks:
Robotics
Modalities:
Tabular
Time-series
Video
Formats:
parquet
Size:
10K - 100K
Tags:
LeRobot
rc-car
self-driving
imitation-learning
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
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1
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RC Car Self-Driving Dataset 2

A LeRobot v3.0 dataset for training imitation learning policies on an RC car. Recorded via a remote operator interface over LiveKit, with a single front-facing camera and keyboard controls.

Dataset Details

Property Value
Robot RC car
FPS 30
Episodes 24
Total frames 65,717 (~36 min)
Resolution 320x180
Task drive

Features

  • observation.images.camera — front-facing RGB video (320x180, h264)
  • observation.state — previous frame's controls (6-dim float): [forward, backward, left, right, speed, brake]
  • action — current controls (6-dim float): [forward, backward, left, right, speed, brake]

Usage 

from lerobot.datasets.lerobot_dataset import LeRobotDataset

dataset = LeRobotDataset("binhpham/driving-dataset-2")

Train with ACT policy 

uv run lerobot-train --dataset binhpham/driving-dataset-2 --policy act --steps 50000 --device mps

Format

LeRobot v3.0 dataset format. See LeRobot documentation for details.
Downloads last month
78
Size of downloaded dataset files:
1.19 MB
Size of the auto-converted Parquet files:
1.19 MB
Number of rows:
65,742