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# 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.
```
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