Update README.md

README.md

@@ -21,4 +21,69 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+task_categories:
+- text-to-speech
+language:
+- od
+pretty_name: Odia Indic TTS dataset
+size_categories:
+- n<1K
 ---
+
+# Odia Indic TTS Dataset
+
+This dataset is derived from the Indic TTS Database project, specifically using the Odia monolingual recordings from both male and female speakers. The dataset contains high-quality speech recordings with corresponding text transcriptions, making it suitable for text-to-speech (TTS) research and development.
+
+## Dataset Details
+
+- **Language**: Odia
+- **Total Duration**: ~8.74 hours (Male: 4.47 hours, Female: 4.27 hours)
+- **Audio Format**: WAV
+- **Sampling Rate**: 48000Hz
+- **Speakers**: 2 (1 male, 1 female native Odia speakers)
+- **Content Type**: Monolingual Odia utterances
+- **Recording Quality**: Studio-quality recordings
+- **Transcription**: Available for all audio files
+
+## Dataset Source
+
+This dataset is derived from the Indic TTS Database, a special corpus of Indian languages developed by the Speech Technology Consortium at IIT Madras. The original database covers 13 major languages of India and contains 10,000+ spoken sentences/utterances for both monolingual and English recordings.
+
+## License & Usage
+
+This dataset is subject to the original Indic TTS license terms. Before using this dataset, please ensure you have read and agreed to the [License For Use of Indic TTS](https://www.iitm.ac.in/donlab/indictts/downloads/license.pdf).
+
+## Acknowledgments
+
+This dataset would not be possible without the work of the Speech Technology Consortium at IIT Madras. Special acknowledgment goes to:
+- Speech Technology Consortium
+- Department of Computer Science & Engineering and Electrical Engineering, IIT Madras
+- Bhashini, MeitY
+- Prof. Hema A Murthy & Prof. S Umesh
+
+## Citation
+
+If you use this dataset in your research or applications, please cite the original Indic TTS project:
+
+```bibtex
+@misc{indictts2023,
+    title = {Indic {TTS}: A Text-to-Speech Database for Indian Languages},
+    author = {Speech Technology Consortium and {Hema A Murthy} and {S Umesh}},
+    year = {2023},
+    publisher = {Indian Institute of Technology Madras},
+    url = {https://www.iitm.ac.in/donlab/indictts/},
+    institution = {Department of Computer Science and Engineering and Electrical Engineering, IIT MADRAS}
+}
+```
+
+## Contact
+
+For any issues or queries related to this HuggingFace dataset version, feel free to comment in the Community tab.
+
+For queries related to the original Indic TTS database, please contact: smtiitm@gmail.com
+
+## Original Database Access
+
+The original complete database can be accessed at: https://www.iitm.ac.in/donlab/indictts/database
+
+Note: The original database provides access to data in multiple Indian languages and variants. This HuggingFace dataset specifically contains the Hindi monolingual portion of that database.