f1-team-radio

license: cc-by-4.0
task_categories:
  - automatic-speech-recognition
  - audio-classification
language:
  - en
tags:
  - f1
  - formula-1
  - formula-one
  - team-radio
  - motorsport
  - racing
  - speech
  - audio
pretty_name: F1 Team Radio Transcriptions
size_categories:
  - 10K<n<100K

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

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

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.)

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

@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