| --- |
| dataset_info: |
| features: |
| - name: audio |
| dtype: audio |
| - name: text |
| dtype: string |
| - name: length |
| dtype: int64 |
| - name: category |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 1293604 |
| num_examples: 24 |
| download_size: 1293869 |
| dataset_size: 1293604 |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/test-* |
| license: apache-2.0 |
| task_categories: |
| - text-to-speech |
| language: |
| - en |
| size_categories: |
| - n<1K |
| --- |
| |
| # ElevenLabs Multilingual V2 Technical Speech Dataset |
|
|
| This dataset contains automatically generated technical phrases in three domains, converted to speech using the ElevenLabs Multilingual V2 model with Adam voice. |
|
|
| ## Dataset Description |
|
|
| The dataset includes audio samples of technical phrases across three categories: |
| - Machine Learning (ML) |
| - Science |
| - Technology |
|
|
| Each entry contains: |
| - Audio file in MP3 format (22050Hz) |
| - Source text |
| - Text length |
| - Category label |
|
|
| ## Data Generation |
|
|
| The phrases were procedurally generated using predefined templates to create coherent technical statements. All audio was synthesized using: |
| - Model: ElevenLabs Multilingual V2 |
| - Voice: Adam |
| - Voice Settings: |
| - Stability: 0.5 |
| - Similarity Boost: 0.75 |
| - Style: 0.0 |
| - Speaker Boost: Enabled |
|
|
| ## Sample Entry |
|
|
| ```python |
| { |
| 'audio': 'path/to/audio.mp3', |
| 'text': 'The Distributed computing infrastructure leveraging containerized applications efficiently orchestrates high-throughput transactions...', |
| 'length': 195, |
| 'category': 'tech_phrase' |
| } |
| ``` |
