| # 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 | |