Datasetpublic

fluffypotatoes/f1-team-radio

F1 Team Radio Dataset A comprehensive dataset of Formula 1 team radio communications with transcriptions. Dataset Description This dataset contains team radio audio clips from Formula 1 races along with their text transcriptions. Team radio communications are the real-time messages exchanged between F1 drivers and their pit wall engineers during race weekends. Dataset Statistics Metric Value Total audio clips 14,681 Grand Prix events… See the full description on the dataset page: https://huggingface.co/datasets/fluffypotatoes/f1-team-radio.

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Dataset Card

F1 Team Radio Dataset

A comprehensive dataset of Formula 1 team radio communications with transcriptions.

Dataset Description

This dataset contains team radio audio clips from Formula 1 races along with their text transcriptions. Team radio communications are the real-time messages exchanged between F1 drivers and their pit wall engineers during race weekends.

Dataset Statistics

Metric	Value
Total audio clips	14,681
Grand Prix events	149
Unique drivers	43
Date range	2018-03-25 to 2025-12-07

Top Drivers by Message Count

Driver ID	Messages
LEWHAM01	1,685
MAXVER01	1,494
LANNOR01	1,137
CARSAI01	898
CHALEC01	754
GEORUS01	717
VALBOT01	686
DANRIC01	673
SERPER01	613
PIEGAS01	557

Data Fields

Field	Type	Description
`id`	`string`	Unique identifier for each radio message
`driver_id`	`string`	Driver code (e.g., `MAXVER01` for Max Verstappen)
`racing_number`	`string`	Driver's car number
`grand_prix`	`string`	Full Grand Prix name (e.g., "2024 Monaco Grand Prix")
`race_id`	`string`	Race identifier (e.g., `2024_Monaco_Grand_Prix`)
`session_date`	`string`	Date of the session (YYYY-MM-DD)
`message_timestamp`	`string`	UTC timestamp of the message
`audio`	`Audio`	Audio clip (MP3, resampled to 16kHz)
`transcription`	`string`	Text transcription of the radio message

Driver ID Format

Driver IDs follow the official F1 format: first 3 letters of surname + first 3 letters of first name + identifier number.

Examples:

—MAXVER01 → Max Verstappen
—LEWHAM01 → Lewis Hamilton
—CHALEC01 → Charles Leclerc
—LANNOR01 → Lando Norris

Usage

python

from datasets import load_dataset

# Load the dataset
ds = load_dataset("MikCil/f1-team-radio", split="train")

# View a sample
print(ds[0])

# Filter by driver
verstappen = ds.filter(lambda x: x["driver_id"] == "MAXVER01")

# Filter by race
monaco_2024 = ds.filter(lambda x: "Monaco" in x["grand_prix"])

Playing Audio

python

from IPython.display import Audio as IPythonAudio

sample = ds[0]
IPythonAudio(
    sample["audio"]["array"], 
    rate=sample["audio"]["sampling_rate"]
)

Fine-tuning ASR Models

This dataset can be used to fine-tune speech recognition models on F1-specific vocabulary (driver names, technical terms, etc.)

python

from transformers import WhisperForConditionalGeneration, WhisperProcessor

Transcription Method

Audio files were transcribed using Cohere Transcribe 03-2026, an efficient open-source automatic speech recognition model.

License

This dataset is released under the CC BY 4.0 License.

Citation

bibtex

@dataset{f1_team_radio,
  author = {Michele Ciletti},
  title = {F1 Team Radio Dataset},
  year = {2025},
  publisher = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/MikCil/f1-team-radio}}
}

Acknowledgments

—Formula 1 for the original broadcasts
—Cohere Labs for transcription