README.md

Voice Notes Dataset

Dataset Description

This dataset contains real-world voice recordings with transcripts and comprehensive annotations.

Dataset Statistics

• Total Entries: 2
• Audio Files: 2
• Uncorrected Transcripts: 2
• Ground Truth Transcripts: 0
• Annotation Files: 2
• Export Date: 2025-10-27

Dataset Structure

audio/                      # Audio recordings (MP3, etc.)
├── 1.mp3
├── 2.mp3
└── ...

transcripts/
├── uncorrected/           # Original STT transcripts
│   ├── 1.txt
│   ├── 2.txt
│   └── ...
└── ground_truths/         # Corrected transcripts (when available)
    ├── 1.txt
    ├── 2.txt
    └── ...

annotations/               # Metadata and annotations
├── 1.json
├── 2.json
└── ...

Annotation Schema

Each annotation file contains:

• Audio metadata (duration, bitrate, sample rate, etc.)
• Text metrics (word count, WPM, lexical diversity)
• Temporal information (recording date, time of day)
• Custom annotations (audio quality, classification, etc.)

Use Cases

1. Real-World STT Evaluation: Test speech-to-text models on non-ideal conditions
2. Voice Note Classification: Train models to categorize voice notes
3. Audio Quality Assessment: Analyze impact of background noise on transcription

Citation

If you use this dataset, please cite:

@dataset{voice_notes_dataset,
  author = {Daniel Rosehill},
  title = {Voice Notes Dataset},
  year = {2025},
  publisher = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/...}}
}

License

[Specify your license here]

Contact

For questions or feedback, please contact: public@danielrosehill.com