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# SoccerNet-Echoes
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Official repo for the paper: [SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset](https://arxiv.org/abs/2405.07354).
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# SoccerNet-Echoes
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Official repo for the paper: [SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset](https://arxiv.org/abs/2405.07354).
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## Dataset
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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.
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```python
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π Dataset
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βββ π whisper_v1
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β βββ π england_epl
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β β βββ π
2014-2015
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β β β βββ β½ 2016-03-02 - 23-00 Liverpool 3 - 0 Manchester City
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β β β βββ βοΈ 1_asr.json
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β β β βββ βοΈ 2_asr.json
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β β βββ π
2015-2016
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β β βββ ...
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β βββ π europe_uefa-champions-league
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β βββ ...
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βββ π whisper_v1_en
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β βββ ...
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βββ π whisper_v2
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β βββ ...
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βββ π whisper_v2_en
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β βββ ...
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βββ π whisper_v3
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β βββ ...
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whisper_v1: Contains ASR from Whisper v1.
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whisper_v1_en: English-translated datasets from Whisper v1.
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whisper_v2: Contains ASR from Whisper v2.
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whisper_v2_en: English-translated datasets from Whisper v2.
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whisper_v3: Contains ASR from Whisper v3.
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```
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Each JSON file has the following format:
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```python
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{
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"segments": {
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segment index (int):[
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start time in second (float),
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end time in second (float),
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transcribed text from ASR
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]
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....
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}
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}
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```
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The top-level object is named segments.
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It contains an object where each key represents a unique segment index (e.g., "0", "1", "2", etc.).
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Each segment index object has the following properties:
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```python
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start_time: A number representing the starting time of the segment in seconds.
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end_time: A number representing the ending time of the segment in seconds.
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text: A string containing the textual content of the commentary segment.
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```
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