Nasim435/Monza-1966-lap-data
This dataset contains lap telemetry exported from the racing simulator Assetto Corsa. The data was recorded during a clean driving session and represents raw in-game vehicle telemetry. Game Title: Assetto Corsa Developer: Kunos Simulazioni Car McLaren MP4-12C GT3 Track Autodromo Nazionale di Monza Layout: Full Course Track length: 10019.8 m Session Details Total laps recorded: 5 Weather: Clear Track condition: Dry… See the full description on the dataset page: https://huggingface.co/datasets/Nasim435/Monza-1966-lap-data.
This dataset contains lap telemetry exported from the racing simulator Assetto Corsa. The data was recorded during a clean driving session and represents raw in-game vehicle telemetry.
Game
- Title: Assetto Corsa
- Developer: Kunos Simulazioni
Car
- McLaren MP4-12C GT3
<img src="https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22734038%2Fd0a0ffb47dc94dc6d14648c2a78285c6%2FScreenshot%202026-01-09%20221028.png?generation=1767977069585571&alt=media">
Track
- Autodromo Nazionale di Monza
- Layout: Full Course
- Track length: 10019.8 m <img src="https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22734038%2F7c153e81f30067f082e395d4ae39ad78%2FMonza_1922.webp?generation=1767976268944467&alt=media">
Session Details
- Total laps recorded: 5
- Weather: Clear
- Track condition: Dry
Dataset Content
Each row represents a telemetry sample captured during the lap.
Recorded Features
- Car and track identifiers
- Lap index and lap number
- Lap time reference
- World position (X, Y, Z)
- Car orientation vectors
- Velocity components (X, Y, Z)
- Longitudinal G-force
- Throttle input
- Brake input
- Steering input
- Current gear
- Engine RPM
- Race position
- Bin index and validity flag
Potential ML Use Cases
This dataset can be used for:
- Lap Time Prediction (Regression)
- Driving Behavior Classification (Aggressive vs Smooth Driving)
- Racing Line Optimization using trajectory data
- Anomaly Detection in driving patterns
- Time-series modeling of vehicle dynamics
Feature Insights
- Velocity components can be used to reconstruct speed and acceleration profiles.
- Throttle and brake inputs provide insights into driver control patterns.
- Steering angle combined with position data enables trajectory analysis.
- G-force data can indicate aggressive cornering behavior.
Notes
- Telemetry is exported directly from the game and then cleaned for correct formatting.
- No simulation parameters were modified during recording.
- This dataset is intended for telemetry inspection, visualization, and sim racing analysis.