| | --- |
| | 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) |
