--- 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](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 šŸ“‚ Dataset ā”œā”€ā”€ šŸ“ whisper_v1 ā”‚ ā”œā”€ā”€ šŸ† england_epl ā”‚ ā”‚ ā”œā”€ā”€ šŸ“… 2014-2015 ā”‚ ā”‚ ā”‚ ā””ā”€ā”€ āš½ 2016-03-02 - 23-00 Liverpool 3 - 0 Manchester City ā”‚ ā”‚ ā”‚ ā”œā”€ā”€ ā˜ļø 1_asr.json ā”‚ ā”‚ ā”‚ ā””ā”€ā”€ ā˜ļø 2_asr.json ā”‚ ā”‚ ā”œā”€ā”€ šŸ“… 2015-2016 ā”‚ ā”‚ ā””ā”€ā”€ ... ā”‚ ā”œā”€ā”€ šŸ† europe_uefa-champions-league ā”‚ ā””ā”€ā”€ ... ā”œā”€ā”€ šŸ“ whisper_v1_en ā”‚ ā””ā”€ā”€ ... ā”œā”€ā”€ šŸ“ whisper_v2 ā”‚ ā””ā”€ā”€ ... ā”œā”€ā”€ šŸ“ whisper_v2_en ā”‚ ā””ā”€ā”€ ... ā”œā”€ā”€ šŸ“ whisper_v3 ā”‚ ā””ā”€ā”€ ... 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. ``` ## 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 PĆ„l Halvorsen and Mubarak Shah},
      year={2024},
      eprint={2405.07354},
      archivePrefix={arXiv},
      primaryClass={cs.SD},
      doi={10.48550/arXiv.2405.07354}
}