| --- |
| license: cc-by-4.0 |
| language: |
| - eu |
| pretty_name: Antton Dataset |
| size_categories: |
| - 10k<n<100k |
| task_categories: |
| - text-to-speech |
| - automatic-speech-recognition |
| tags: |
| - audio |
| - TTS |
| - Basque |
| - Aholab |
| - Ilenia |
| - synthetic |
| - common-voice |
| base_model: |
| - itzune/antton-tts |
| --- |
| |
| # Antton Dataset (Synthetic) |
|
|
| This is a large-scale **synthetic speech corpus** designed for training and fine-tuning Basque Text-to-Speech (TTS) models. It consists of **99,996 audio files** synthesized from the "Antton" voice model. |
|
|
| This dataset was generated by **Itzune** and serves as the primary source for training the [itzune/antton-tts (Piper version)](https://huggingface.co/itzune/antton-tts) model. |
|
|
| ## Dataset Structure |
|
|
| Due to the large volume of data (approx. 100,000 files), the dataset is organized in the **WebDataset** format. The audio files are bundled into `.tar` shards to optimize storage, I/O performance, and streaming. |
|
|
| ### Files |
| - **data/**: Directory containing the `.tar` shards. |
| - **metadata.csv**: The main metadata file using `|` as a delimiter: |
| - `file_name`: The name of the audio file (e.g., `audio_1.wav`). |
| - `transcription`: The corresponding Basque text. |
|
|
| ## Technical Specifications |
|
|
| - **Audio Format:** WAV (PCM) |
| - **Sample Rate:** 22050 Hz |
| - **Language:** Basque (eu) |
| - **Voice Profile:** Antton (Male) |
| - **Text Source:** [Mozilla Common Voice - Basque Sentence Collection](https://datacollective.mozillafoundation.org/datasets/cmj8u3p2v007tnxxbk5ng5qvh) |
| - **Generation Method:** Synthesized using VITS-based architecture. |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("itzune/antton-dataset", streaming=True) |
| sample = next(iter(dataset["train"])) |
| print(f"Text: {sample['transcription']}") |
| ``` |
|
|
| ## Credits and Licensing |
| ### Source and Methodology |
|
|
| This is a synthetic dataset generated by Itzune. The synthesis process involved: |
|
|
| - **Text Acquisition**: Sentences were sourced from the Mozilla Common Voice project (Basque sentence collection). |
|
|
| - **Audio Synthesis**: The audio was produced using the aHoTTS synthesis tools and the pre-trained Antton (VITS) model developed by HiTZ Basque Center for Language Technology - Aholab Signal Processing Laboratory. |
|
|
| ### Acknowledgments |
|
|
| Mozilla Common Voice: For providing the community-driven sentence collection. |
| |
| HiTZ Basque Center for Language Technology - Aholab Signal Processing Laboratory: For the underlying synthesis technology and the Antton voice model. |
| |
| Project ILENIA: The original Maider voice resource was developed with funding from Project ILENIA. |
| |
| ### License |
|
|
| Dataset Content (Audio & Text): Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). |
| |
| Original Tools/Code: The aHoTTS tools used to generate this data are licensed under the Apache License 2.0. |
| |
| ## Citation |
| If you use this dataset, please cite the original work from HiTZ/Aholab: |
| > García, V., Hernáez, I., & Navas, E. (2022). Evaluation of Tacotron Based Synthesizers for Spanish and Basque. Applied Sciences, 12(3), 1686. https://doi.org/10.3390/app12031686 |
|
|
|
|
