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---
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.
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)
``` |