| # 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 |
|
|
