datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Urdu-ONYX-WAV-realUrdu-ONYX-WAV
Urdu-ONYX-WAV
Urdu-ONYX-WAV is a high-quality Urdu Text-to-Speech (TTS) dataset consisting of audio recordings and corresponding transcripts. This dataset has been specifically prepared for training TTS models and conducting research in Urdu speech synthesis.
📊 Dataset Structure
This dataset is distributed across multiple parts due to size constraints:
Main repository: Base dataset with initial samples
part2: Additional 2.56 GB of audio data (6 Arrow files)
part3:… See the full description on the dataset page: https://huggingface.co/datasets/humair025/Urdu-ONYX-WAV.Urdu-ONYX-WAV-kanade-V2
Urdu-ONYX-WAV-kanade-Annotated-V2
Version 2.0 - Artifact-Free Edition 🎉
Overview
This is an improved version of the Urdu-ONYX-WAV dataset, tokenized with the Kanade neural codec and optimized for artifact-free audio decoding. This dataset contains 143,627 samples of high-quality Urdu speech with comprehensive linguistic and acoustic annotations, totaling ~244 hours (~10 days) of continuous audio.
Key Features
🎯 Large-Scale: 143K+ samples, 244+ hours of… See the full description on the dataset page: https://huggingface.co/datasets/humair025/Urdu-ONYX-WAV-kanade-V2.Urdu-ONYX-WAV-Annoted