File size: 2,439 Bytes
01b70b5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 | # Conversations Dataset
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.
## Dataset Description
This dataset contains natural conversations recorded in urban outdoor settings in Munich, Germany. Each conversation includes:
- 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)
### Key Features
- **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)
### Data Format
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"
}
]
}
}
```
## Usage
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
### Loading the Dataset
```python
from datasets import load_dataset
dataset = load_dataset("maxF6YsK/conversations")
```
## Dataset Statistics
- 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 |