JUHE API Marketplace
Back to datasets
Dataset assetOpen Source CommunityRacing Analysis

renumics/f1_demo_dataset

This dataset is about Formula 1 racing, containing driver information, lap times, track status, speed, brake, throttle and various other features. The data are represented using different types, including durations, strings, floating-point numbers, and booleans. Additionally, the dataset includes several sequence data such as speed series, throttle series, and brake series. The training split comprises 201 samples with a total size of 22,426,400 bytes.

Source
hugging_face
Created
Nov 28, 2025
Updated
Jul 19, 2023
Signals
403 views
Availability
Linked source ready
Overview

Dataset description and usage context

Dataset Overview

Dataset Name

  • Name: f1_demo_dataset

Dataset Features

  • Temporal Features:

    • Time: Duration (nanoseconds)
    • LapTime: Float
    • PitOutTime: Duration (nanoseconds)
    • PitInTime: Duration (nanoseconds)
    • Sector1Time: Float
    • Sector2Time: Float
    • Sector3Time: Float
    • Sector1SessionTime: Duration (nanoseconds)
    • Sector2SessionTime: Duration (nanoseconds)
    • Sector3SessionTime: Duration (nanoseconds)
    • LapStartTime: Duration (nanoseconds)
    • LapStartDate: Timestamp (nanoseconds)

  • Driver‑related Features:

    • Driver: String
    • DriverNumber: String
    • Stint: Float
    • IsPersonalBest: Boolean
    • Compound: String
    • TyreLife: Float
    • FreshTyre: Boolean
    • Team: String
    • TrackStatus: String
    • Position: Float
    • Deleted: Boolean
    • DeletedReason: String
    • FastF1Generated: Boolean
    • IsAccurate: Boolean

  • Speed and Position Features:

    • SpeedI1: Float
    • SpeedI2: Float
    • SpeedFL: Float
    • SpeedST: Float
    • speed: Sequence (float)
    • throttle: Sequence (float)
    • drs: Sequence (float)
    • nGear: Sequence (float)
    • brake: Sequence (float)
    • x: Sequence (float)
    • y: Sequence (float)
    • z: Sequence (float)
    • distance_driver: Sequence (float)
    • speed_emb: Sequence (float)
    • brake_emb: Sequence (float)
    • throttle_emb: Sequence (float)
    • x_emb: Float
    • y_emb: Float
    • z_emb: Float

  • Visualization Features:

    • gear_vis: String
    • speed_vis: String
    • portrait: String
    • brake_emb_reduced: Sequence (float)

  • Index Features:

    • index_level_0: Integer

Dataset Splits

  • Training Set:
    • Size: 22,426,400 bytes
    • Sample count: 201

Dataset Size

  • Download Size: 15,371,945 bytes
  • Dataset Size: 22,426,400 bytes
Need downstream help?

Pair the dataset with AI analysis and content workflows.

Once the source passes your review, move straight into summarization, transformation, report drafting, or presentation generation with the JuheAI toolchain.