Update README.md

README.md

@@ -49,6 +49,26 @@ Note: The "other" category includes various vocal techniques.
 ## Model Overview
 FreeSVC leverages an enhanced VITS architecture integrated with Speaker-invariant Clustering (SPIN) and the ECAPA2 speaker encoder. This combination effectively separates speaker characteristics from linguistic content, ensuring high-quality and natural-sounding voice conversions across multiple languages.
 
+## Training Datasets
+
+FreeSVC was trained on a diverse set of speech and singing datasets covering multiple languages:
+
+| **Dataset**          | **Hours**  | **Language** | **Type**    |
+|----------------------|-----------|--------------|--------------|-------------|
+| AISHELL-1            | 170h      | Chinese      | Speech      |
+| AISHELL-3            | 85h       | Chinese      | Speech      |
+| CML-TTS              | 3.1k      | 7 Languages  | Speech      |
+| HiFiTTS              | 292h      | English      | Speech      |
+| JVS                  | 30h       | Japanese     | Speech      |
+| LibriTTS-R           | 585h      | English      | Speech      |
+| NUS (NHSS)           | 7h        | English      | Both        |
+| OpenSinger           | 50h       | Chinese      | Singing     |
+| Opencpop             | 5h        | Chinese      | Singing     |
+| PopBuTFy             | 10h, 40h  | Chinese, English | Singing |
+| POPCS                | 5h        | Chinese      | Singing     |
+| VCTK                 | 44h       | English      | Speech      |
+| VocalSet             | 10h       | Other      | Singing     |
+
 ## Original Repository
 For more detailed information, please visit the [original GitHub repository](https://github.com/freds0/free-svc).