README.md

metadata

license: apache-2.0
task_categories:
  - text-classification
  - summarization
language:
  - en
  - de
dataset_info:
  - config_name: whisper_v1
    features:
      - name: segment_index
        dtype: int32
      - name: start_time
        dtype: float32
      - name: end_time
        dtype: float32
      - name: transcribed_text
        dtype: string
    splits:
      - name: train
        num_bytes: 48411028
        num_examples: 780160
    download_size: 96617459
    dataset_size: 48411028
  - config_name: whisper_v1_en
    features:
      - name: segment_index
        dtype: int32
      - name: start_time
        dtype: float32
      - name: end_time
        dtype: float32
      - name: transcribed_text
        dtype: string
    splits:
      - name: train
        num_bytes: 31843296
        num_examples: 563064
    download_size: 96617459
    dataset_size: 31843296
  - config_name: whisper_v2
    features:
      - name: segment_index
        dtype: int32
      - name: start_time
        dtype: float32
      - name: end_time
        dtype: float32
      - name: transcribed_text
        dtype: string
    splits:
      - name: train
        num_bytes: 47409793
        num_examples: 761240
    download_size: 96617459
    dataset_size: 47409793
  - config_name: whisper_v2_en
    features:
      - name: segment_index
        dtype: string
      - name: start_time
        dtype: float32
      - name: end_time
        dtype: float32
      - name: transcribed_text
        dtype: string
    splits:
      - name: train
        num_bytes: 32198972
        num_examples: 538990
    download_size: 96617459
    dataset_size: 32198972
  - config_name: whisper_v3
    features:
      - name: segment_index
        dtype: string
      - name: start_time
        dtype: float32
      - name: end_time
        dtype: float32
      - name: transcribed_text
        dtype: string
    splits:
      - name: train
        num_bytes: 52528392
        num_examples: 923221
    download_size: 96617459
    dataset_size: 52528392

SoccerNet-Echoes

Official repo for the paper: SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset.

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.

📂 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:

{
  "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:

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.

Citation

Please cite our work if you use the SoccerNet-Echoes dataset:

@misc{gautam2024soccernetechoes,
      title={SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset}, 
      author={Sushant Gautam and Mehdi Houshmand Sarkhoosh and Jan Held and Cise Midoglu and Anthony Cioppa and Silvio Giancola and Vajira Thambawita and Michael A. Riegler and Pål Halvorsen and Mubarak Shah},
      year={2024},
      eprint={2405.07354},
      archivePrefix={arXiv},
      primaryClass={cs.SD},
      doi={10.48550/arXiv.2405.07354}
}