Update README.md

README.md

@@ -10,6 +10,8 @@ tags:
 - speech-synthesis
 - Basque
 - piper
+datasets:
+- itzune/maider-dataset
 ---
 
 # Basque TTS: Maider (Piper Version)
@@ -28,12 +30,22 @@ This version has been exported/trained specifically for use with the Piper TTS e
 
 ## Training Details
 
+- **Dataset:** [itzune/maider-dataset](https://huggingface.co/datasets/itzune/maider-dataset)
+- **Data Volume:** 99,996 high-quality audio samples (~100k files).
 - **Architecture:** VITS
 - **Training Engine:** Piper (PyTorch Lightning)
-- **Iterations:** 22 epochs
+- **Iterations:** 22 epochs (258,750 steps)
 - **Sample Rate:** 22050 Hz
 - **Phonemization:** espeak-ng (Basque)
 
+## Data Source & Dataset Integration
+
+This model has been fine-tuned/trained using the **maider_dataset**, a large-scale Basque speech corpus specifically curated for high-fidelity synthesis. 
+
+- **Link to Dataset:** [Maider Dataset on Hugging Face](https://huggingface.co/datasets/itzune/maider-dataset)
+- **Dataset structure:** The data was processed using WebDataset (sharded .tar files) to handle the 100k samples efficiently after the Piper training process.
+- **Content:** Each audio file is paired with its corresponding Basque transcription in a `metadata.csv` file, ensuring precise alignment during the 22 epochs of training.
+
 ## Files Included
 * `eu-maider-medium.onnx`: The exported model for fast inference.
 * `eu-maider-medium.onnx.json`: The configuration file (includes phoneme map and synthesis settings).
@@ -69,4 +81,4 @@ The base model belongs to the Aholab TTS collection. All voices in this collecti
 ## Authors & Credits
 
 The original Maider model was created by:
-HiTZ Basque Center for Language Technology - Aholab Signal Processing Laboratory, University of the Basque Country EHU.
+HiTZ Basque Center for Language Technology - Aholab Signal Processing Laboratory, University of the Basque Country EHU.