Update README.md

README.md

@@ -1,3 +1,44 @@
 ---
 license: mit
+task_categories:
+- text-to-speech
+language:
+- en
+tags:
+- anime
+- speech
+- text-to-speech
+- voice
+pretty_name: AniSpeech
+size_categories:
+- n<1K
 ---
+
+# AniSpeech Dataset
+
+Welcome to the AniSpeech dataset, a continually expanding collection of captioned anime voices brought to you by ShoukanLabs.
+- As we label more and more audio, they'll automagically be uploaded here for use, seperated by language
+
+---
+
+## Key Features
+
+- **LJSpeech Format Compatibility:** Built on the widely-used LJSpeech dataset format, making it seamlessly integrable into various existing Text-to-Speech (TTS) training scripts.
+
+- **Diverse Anime Voices:** Train your TTS models on high-quality vocal performances with variations in intonation, timbre, and pitch. The dataset offers a rich assortment of anime voices for creating generalised models.
+
+- **Ideal for Generalized Models:** AniSpeech is a perfect choice for fine-tuning generalized models. With a diverse range of voices, it provides a solid foundation for training models that can handle a wide variety of speaking styles.
+
+## Limitations
+
+- **Single-Voice Fine-Tuning:** While AniSpeech excels in training foundation models (due to it's diversity), it's not recommended for fine-tuning on a single voice. Its strength lies in contributing to the development of versatile TTS models.
+
+- **Dataset Curation:** Due to its size, manually curating the entire dataset can be impractical. If you encounter low-quality files or incorrect captions, we encourage you to contribute by creating a pull request to help maintain and improve the dataset.
+
+## License
+
+This dataset is released under the [MIT License](https://huggingface.co/datasets/ShoukanLabs/AniSpeech/raw/main/license).
+
+Your contributions to the AniSpeech dataset are invaluable, and we appreciate your efforts in advancing the field of Text-to-Speech technology.
+
+Happy coding and synthesizing!