MikCil/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 ```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](https://huggingface.co/CohereLabs/cohere-transcribe-03-2026), an efficient open-source automatic speech recognition model. ## License This dataset is released under the [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/). ## 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 transcriptionlicense: CC BY 4.0 task_categories: - 自动语音识别（automatic-speech-recognition） - 音频分类（audio-classification） language: - 英语 tags: - F1 - Formula 1（一级方程式） - Formula One（一级方程式） - 车队无线电（team-radio） - 赛车运动（motorsport） - 竞速（racing） - 语音（speech） - 音频（audio） pretty_name: F1车队无线电转录文本集 size_categories: - 10K<n<100K # F1车队无线电数据集 本数据集为包含转录文本的一级方程式（Formula 1，简称F1）车队无线电通信综合数据集。 ## 数据集概览 本数据集收录了F1赛事期间车队无线电音频片段及其对应的文本转录内容。车队无线电通信指F1车手与维修区工程师在赛事周末期间实时互通的讯息。 ## 数据集统计数据 | 指标 | 数值 | |--------|-------| | 总音频片段数 | 14,681 | | 大奖赛赛事数 | 149 | | 唯一参赛车手数 | 43 | | 时间范围 | 2018-03-25 至 2025-12-07 | ### 按讯息数排名的顶尖车手 | 车手ID | 讯息数 | |-----------|----------| | LEWHAM01 | 1,685 | | MAXVER01 | 1,494 | | LANNOR01 | 1,137 | | CARSAI01 | 898 | | CHALEC01 | 754 | | GEORUS01 | 717 | | VALBOT01 | 686 | | DANRIC01 | 673 | | SERPER01 | 613 | | PIEGAS01 | 557 | ## 数据字段 | 字段 | 类型 | 描述 | |-------|------|-------------| | `id` | `字符串` | 每条无线电讯息的唯一标识符 | | `driver_id` | `字符串` | 车手代码（例如代表马克斯·维斯塔潘的`MAXVER01`） | | `racing_number` | `字符串` | 车手的赛车编号 | | `grand_prix` | `字符串` | 大奖赛完整名称（例如"2024摩纳哥大奖赛"） | | `race_id` | `字符串` | 赛事标识符（例如`2024_Monaco_Grand_Prix`） | | `session_date` | `字符串` | 赛事时段日期，格式为YYYY-MM-DD | | `message_timestamp` | `字符串` | 讯息的UTC时间戳 | | `audio` | `音频` | 音频片段，格式为MP3，重采样至16kHz | | `transcription` | `字符串` | 无线电讯息的文本转录内容 | ## 车手ID格式 车手ID采用F1官方格式：**姓氏前3个字母 + 名字前3个字母 + 标识符编号**。 示例： - `MAXVER01` → 马克斯·维斯塔潘（Max Verstappen） - `LEWHAM01` → 刘易斯·汉密尔顿（Lewis Hamilton） - `CHALEC01` → 夏尔·勒克莱尔（Charles Leclerc） - `LANNOR01` → 兰多·诺里斯（Lando Norris） ## 使用方法 python from datasets import load_dataset # 加载数据集 ds = load_dataset("MikCil/f1-team-radio", split="train") # 查看样本数据 print(ds[0]) # 按车手筛选数据集 verstappen = ds.filter(lambda x: x["driver_id"] == "MAXVER01") # 按赛事筛选数据集 monaco_2024 = ds.filter(lambda x: "Monaco" in x["grand_prix"]) ### 音频播放 python from IPython.display import Audio as IPythonAudio sample = ds[0] IPythonAudio( sample["audio"]["array"], rate=sample["audio"]["sampling_rate"] ) ### 微调自动语音识别模型 本数据集可用于针对F1专属词汇（车手姓名、专业术语等）微调语音识别模型。 python from transformers import WhisperForConditionalGeneration, WhisperProcessor ## 转录方法 本数据集的音频文件通过[Cohere Transcribe 03-2026](https://huggingface.co/CohereLabs/cohere-transcribe-03-2026)完成转录，该模型为一款高效的开源自动语音识别（automatic speech recognition）模型。 ## 许可证 本数据集采用[CC BY 4.0许可证](https://creativecommons.org/licenses/by/4.0/)发布。 ## 引用格式 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}} } ## 致谢 - 一级方程式（Formula 1）官方提供原始赛事广播 - Cohere Labs提供转录模型支持