---
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](https://huggingface.co/spaces/renumics/f1_montreal_gp) for this dataset on Hugging Face spaces.

![image/png](https://cdn-uploads.huggingface.co/production/uploads/63dd29ffaf221a78fa4ec8d1/VIqh7OcI0PKOqYCGp6rDZ.png)

You can explore the dataset on your machine with [Spotlight](https://github.com/Renumics/spotlight):

```bash
pip install renumics-spotlight
```

```Python
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)
```