Datasets:
| license: cc0-1.0 | |
| task_categories: | |
| - automatic-speech-recognition | |
| language: | |
| - lb | |
| tags: | |
| - audio | |
| - speech | |
| - luxembourgish | |
| - synthetic | |
| size_categories: | |
| - 10K<n<100K | |
| # LOD_Maxine Dataset | |
| ## Dataset Description | |
| LOD_Maxine is a Luxembourgish speech dataset containing audio recordings paired with transcriptions. The audio features a synthetic voice named Maxine reading example sentences from the LOD (Lëtzebuerger Online Dictionnaire) available at lod.lu. | |
| ## Dataset Statistics | |
| - **Total samples**: ~32,000 | |
| - **Language**: Luxembourgish (Lëtzebuergesch) | |
| - **Audio format**: WAV files | |
| - **Sample rate**: 22,050 Hz | |
| ## Dataset Structure | |
| Each sample contains: | |
| - `audio`: Audio file in WAV format | |
| - `text`: Transcription text | |
| - `filename`: Original filename identifier | |
| ## Example | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset("ZLSCompLing/LOD_Maxine") | |
| # Access a sample | |
| sample = dataset[0] | |
| print(f"Text: {sample['text']}") | |
| # Audio can be accessed via sample['audio'] | |
| ``` | |
| ## License | |
| This dataset is released under the CC0 license - fully public domain with free use and no attribution required. | |
| ## Contact | |
| For questions or issues regarding this dataset, please contact the repository maintainers. |