| # Conversations Dataset |
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| A collection of transcribed conversations focusing on sports-related discussions, particularly about football, tennis, and other athletic topics. The dataset includes detailed speaker information, background sounds, and precise timing for each utterance. |
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| ## Dataset Description |
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| This dataset contains natural conversations recorded in urban outdoor settings in Munich, Germany. Each conversation includes: |
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| - Audio files in M4A format |
| - Detailed transcriptions with speaker turns |
| - Temporal information (start/end times for each utterance) |
| - Speaker metadata (gender, speaker ID) |
| - Environmental context (location, background sounds) |
| - Conversation metadata (topics, emotion tone, type) |
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| ### Key Features |
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| - **Language**: German (deu) |
| - **Environment**: Outdoor urban settings |
| - **Location**: Munich, Germany |
| - **Number of Conversations**: 5 |
| - **Average Duration**: ~47 seconds per conversation |
| - **Number of Speakers**: 2-3 per conversation |
| - **Background Sounds**: Includes music, traffic, and crowd noise |
| - **Conversation Type**: Casual chat |
| - **Primary Topics**: Sports (football, tennis, golf) |
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| ### Data Format |
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| Each conversation entry contains: |
| ```json |
| { |
| "audioFile": "string", |
| "duration": "float", |
| "numberOfSpeakers": "int", |
| "language": "string", |
| "environment": "string", |
| "location": { |
| "city": "string", |
| "country": "string", |
| "lat": "string", |
| "long": "string" |
| }, |
| "backgroundSounds": "string", |
| "topics": ["string"], |
| "conversationType": "string", |
| "mainConversationTopic": "string", |
| "emotionTone": "string", |
| "data": { |
| "transcript": "string", |
| "detailedConversation": [ |
| { |
| "speaker": "string", |
| "text": "string", |
| "start": "float", |
| "end": "float", |
| "speakerGender": "string" |
| } |
| ] |
| } |
| } |
| ``` |
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| ## Usage |
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| This dataset can be useful for: |
| - Speech recognition model training (German language) |
| - Conversation analysis |
| - Speaker diarization |
| - Natural language processing tasks |
| - Urban background noise analysis |
| - Sports-related language processing |
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| ### Loading the Dataset |
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| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("maxF6YsK/conversations") |
| ``` |
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| ## Dataset Statistics |
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| - Total number of conversations: 5 |
| - Total duration: ~235 seconds |
| - Average speakers per conversation: 2.6 |
| - Main topics: Sports discussions (football, tennis, golf) |
| - Emotion tone: Friendly |
| - Conversation type: Casual chat |
