Create README.md

README.md

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+---
+task_categories:
+- translation
+language:
+- my
+size_categories:
+- n<1K
+---
+
+# 📢 My Audio Dataset
+
+This dataset contains audio recordings and their corresponding transcriptions. It is designed for **Automatic Speech Recognition (ASR) tasks**.
+
+## 📖 Dataset Summary
+
+- **Total Audio Files:** 1,000 (example)
+- **Languages:** English, French (modify as needed)
+- **Format:** `.wav` audio files with `.txt` metadata
+- **License:** CC-BY-4.0
+
+## 📂 Dataset Structure
+
+- `audio/`: Contains `.wav` files.
+- `metadata.csv`: A CSV file mapping each audio file to its transcription.
+
+## 📝 Example Data
+
+| Audio | Transcription |
+|-------|--------------|
+| <audio controls src="https://huggingface.co/datasets/your_username/audio_dataset/resolve/main/audio/sample1.wav"></audio> | **Hello, how are you?** |
+| <audio controls src="https://huggingface.co/datasets/your_username/audio_dataset/resolve/main/audio/sample2.wav"></audio> | **This is a test sentence.** |
+
+## 🚀 How to Use
+
+You can load this dataset using `datasets`:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("nangkham/openslr")
+print(dataset)