| # SoccerNet-Echoes | |
| Official repo for the paper: [SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset](https://arxiv.org/abs/2405.07354). | |
| ## Dataset | |
| Each folder inside the **Dataset** directory is categorized by league, season, and game. Within these folders, JSON files contain the transcribed and translated game commentary. | |
| ```python | |
| 📂 Dataset | |
| ├── 📁 whisper_v1 | |
| │ ├── 🏆 england_epl | |
| │ │ ├── 📅 2014-2015 | |
| │ │ │ └── ⚽ 2016-03-02 - 23-00 Liverpool 3 - 0 Manchester City | |
| │ │ │ ├── ☁️ 1_asr.json | |
| │ │ │ └── ☁️ 2_asr.json | |
| │ │ ├── 📅 2015-2016 | |
| │ │ └── ... | |
| │ ├── 🏆 europe_uefa-champions-league | |
| │ └── ... | |
| ├── 📁 whisper_v1_en | |
| │ └── ... | |
| ├── 📁 whisper_v2 | |
| │ └── ... | |
| ├── 📁 whisper_v2_en | |
| │ └── ... | |
| ├── 📁 whisper_v3 | |
| │ └── ... | |
| whisper_v1: Contains ASR from Whisper v1. | |
| whisper_v1_en: English-translated datasets from Whisper v1. | |
| whisper_v2: Contains ASR from Whisper v2. | |
| whisper_v2_en: English-translated datasets from Whisper v2. | |
| whisper_v3: Contains ASR from Whisper v3. | |
| ``` | |
| Each JSON file has the following format: | |
| ```python | |
| { | |
| "segments": { | |
| segment index (int):[ | |
| start time in second (float), | |
| end time in second (float), | |
| transcribed text from ASR | |
| ] | |
| .... | |
| } | |
| } | |
| ``` | |
| The top-level object is named segments. | |
| It contains an object where each key represents a unique segment index (e.g., "0", "1", "2", etc.). | |
| Each segment index object has the following properties: | |
| ```python | |
| start_time: A number representing the starting time of the segment in seconds. | |
| end_time: A number representing the ending time of the segment in seconds. | |
| text: A string containing the textual content of the commentary segment. | |
| ``` | |