# 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