README.md

metadata

dataset_info:
  features:
    - name: Time
      dtype: duration[ns]
    - name: Driver
      dtype: string
    - name: DriverNumber
      dtype: string
    - name: LapTime
      dtype: duration[ns]
    - name: LapNumber
      dtype: float64
    - name: Stint
      dtype: float64
    - name: PitOutTime
      dtype: duration[ns]
    - name: PitInTime
      dtype: duration[ns]
    - name: Sector1Time
      dtype: duration[ns]
    - name: Sector2Time
      dtype: duration[ns]
    - name: Sector3Time
      dtype: duration[ns]
    - name: Sector1SessionTime
      dtype: duration[ns]
    - name: Sector2SessionTime
      dtype: duration[ns]
    - name: Sector3SessionTime
      dtype: duration[ns]
    - name: SpeedI1
      dtype: float64
    - name: SpeedI2
      dtype: float64
    - name: SpeedFL
      dtype: float64
    - name: SpeedST
      dtype: float64
    - name: IsPersonalBest
      dtype: bool
    - name: Compound
      dtype: string
    - name: TyreLife
      dtype: float64
    - name: FreshTyre
      dtype: bool
    - name: Team
      dtype: string
    - name: LapStartTime
      dtype: duration[ns]
    - name: LapStartDate
      dtype: timestamp[ns]
    - name: TrackStatus
      dtype: string
    - name: Position
      dtype: float64
    - name: Deleted
      dtype: bool
    - name: DeletedReason
      dtype: string
    - name: FastF1Generated
      dtype: bool
    - name: IsAccurate
      dtype: bool
    - name: DistanceToDriverAhead
      sequence:
        sequence: float64
    - name: RPM
      sequence:
        sequence: float64
    - name: Speed
      sequence:
        sequence: float64
    - name: nGear
      sequence:
        sequence: float64
    - name: Throttle
      sequence:
        sequence: float64
    - name: Brake
      sequence:
        sequence: float64
    - name: DRS
      sequence:
        sequence: float64
    - name: X
      sequence:
        sequence: float64
    - name: 'Y'
      sequence:
        sequence: float64
    - name: Z
      sequence:
        sequence: float64
    - name: gear_vis
      dtype: image
    - name: speed_vis
      dtype: image
    - name: RPM_emb
      sequence: float64
    - name: Speed_emb
      sequence: float64
    - name: nGear_emb
      sequence: float64
    - name: Throttle_emb
      sequence: float64
    - name: Brake_emb
      sequence: float64
    - name: X_emb
      sequence: float64
    - name: Y_emb
      sequence: float64
    - name: Z_emb
      sequence: float64
    - name: portrait
      dtype: image
  splits:
    - name: train
      num_bytes: 561415487.5469999
      num_examples: 1317
  download_size: 300522146
  dataset_size: 561415487.5469999
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Dataset Card for "f1_dataset"

This dataset includes race telemetry data from the Formula1 Montreail 2023 GP. It was obtained from the Ergast API using the fastf1 library.

We built an interactive demo for this dataset on Hugging Face spaces.

You can explore the dataset on your machine with Spotlight:

pip install renumics-spotlight

import datasets
from renumics import spotlight

ds = datasets.load_dataset('renumics/f1_dataset', split='train')
dtypes = {"DistanceToDriverAhead": spotlight.Sequence1D, "RPM": spotlight.Sequence1D, "Speed": spotlight.Sequence1D, "nGear": spotlight.Sequence1D,
    "Throttle": spotlight.Sequence1D, "Brake": spotlight.Sequence1D, "DRS": spotlight.Sequence1D, "X": spotlight.Sequence1D, "Y": spotlight.Sequence1D, "Z": spotlight.Sequence1D,
    'RPM_emb': spotlight.Embedding, 'Speed_emb': spotlight.Embedding, 'nGear_emb': spotlight.Embedding, 'Throttle_emb': spotlight.Embedding, 'Brake_emb': spotlight.Embedding, 
    'X_emb': spotlight.Embedding, 'Y_emb': spotlight.Embedding, 'Z_emb': spotlight.Embedding}

spotlight.show(ds, dtype=dtypes)