Create README.md

README.md

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+---
+license: apache-2.0
+language:
+- mn
+tags:
+- audio
+- automatic-speech-recognition
+- tts
+- speech
+- mongolian
+pretty_name: Common Voice Mongolian 24.0
+size_categories:
+- 10K<n<100K
+---
+
+# 🇲🇳 Common Voice Mongolian 24.0 Dataset
+
+[![Dataset Version](https://img.shields.io/badge/Version-24.0-blue)](https://huggingface.co/datasets/onlysainaa/common-voice-scripted-speech-24.0-mongolian)
+[![License](https://img.shields.io/badge/License-Apache%202.0-green)](https://opensource.org/licenses/Apache-2.0)
+[![Language](https://img.shields.io/badge/Language-Mongolian-red)](#)
+
+This repository hosts the latest release (**v24.0**) of the Mozilla Common Voice Scripted Speech dataset for **Mongolian (mn)**. This dataset is a vital resource for training robust Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) systems for the Mongolian language.
+
+---
+
+## 📊 Dataset Statistics
+
+| Metric | Value |
+| :--- | :--- |
+| **Total Clips** | 96,308 |
+| **Total Duration** | 140.56 Hours |
+| **Validated Duration** | 49.19 Hours |
+| **Total Speakers** | 606 |
+| **Format** | MP3 (contained in `.tar.gz`) |
+
+> [!TIP]
+> This version includes a significant increase in validated hours compared to previous releases, improving its reliability for supervised learning.
+
+---
+
+## 🚀 Getting Started
+
+### Method 1: Using `huggingface_hub` (Recommended for Raw Archive)
+You can download the specific tarball programmatically. This method is best if you need the original directory structure.
+
+```python
+from huggingface_hub import hf_hub_download
+import os
+
+repo_id = "onlysainaa/common-voice-scripted-speech-24.0-mongolian"
+filename = "cv-corpus-24.0-2025-12-05-mn.tar.gz"
+
+# Download the file
+download_path = hf_hub_download(
+    repo_id=repo_id,
+    filename=filename,
+    repo_type="dataset",
+    local_dir="./data"
+)
+
+print(f"File downloaded to: {download_path}")
+Method 2: Command Line (Git LFS)
+Bash
+git lfs install
+git clone [https://huggingface.co/datasets/onlysainaa/common-voice-scripted-speech-24.0-mongolian](https://huggingface.co/datasets/onlysainaa/common-voice-scripted-speech-24.0-mongolian)
+🛠️ Extraction & Usage
+To extract the audio clips and metadata files:
+
+Bash
+tar -xf ./data/cv-corpus-24.0-2025-12-05-mn.tar.gz
+Common use cases:
+
+ASR: Fine-tuning Whisper or Wav2Vec2 models for Mongolian.
+
+TTS: Developing natural-sounding Mongolian synthetic voices.
+
+Linguistics: Analyzing dialectal variations and phonetic patterns.
+```
+📜 Citation
+If you use this dataset in your research or project, please cite it as follows:
+
+Code snippet
+@misc{commonvoice_mn24,
+  title = {Mozilla Common Voice 24.0 - Mongolian},
+  author = {Mozilla Foundation},
+  year = {2025},
+  publisher = {Hugging Face},
+  journal = {Hugging Face Datasets},
+  howpublished = {\url{[https://huggingface.co/datasets/onlysainaa/common-voice-scripted-speech-24.0-mongolian](https://huggingface.co/datasets/onlysainaa/common-voice-scripted-speech-24.0-mongolian)}}
+}
+## 🙏 Acknowledgements
+
+Special thanks to the **Mozilla Common Voice** contributors and the Mongolian community for making this open-source speech data available.
+
+A massive thank you to **Jargalsaikhan Orgil** [https://mn.linkedin.com/in/orgil-jargalsaikhan-56818236] from **MUST-SICT**, who has been the biggest motivation and driving force behind the collection of the Mongolian speech dataset in Common Voice. His dedication is one of the biggest reason this dataset exists today.
+
+---