# 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.
```