| # Multilingual Yodas Streaming Dataset (OWSMv4 Optimized) | |
| This repository provides a **streaming-ready** version of the Yodas (Yielding Optimized Data from Any Source) dataset. It is specifically designed for training and fine-tuning large-scale **Multilingual ASR models** (such as OWSM v4, Mamba-based architectures, and beyond) without the need to download terabytes of raw data. | |
| By utilizing a custom Lhotse-based loading script, this dataset allows researchers to stream audio data directly into their training pipeline using `curl` and `ffmpeg`. | |
| --- | |
| ## 🚀 Key Features | |
| * **Massively Multilingual**: Designed to support up to **75 languages**, providing a unified interface for global speech research. | |
| * **Zero-Download Streaming**: Access over 20 million audio cuts in real-time. No massive local storage is required. | |
| * **Lhotse Integration**: Uses `Lhotse` manifests for precise audio slicing and robust metadata management. | |
| --- | |
| ## 🛠️ Prerequisites | |
| To ensure the streaming loader functions correctly, your environment must meet the following requirements: | |
| ### 1. System Dependencies | |
| The loader relies on system-level pipes to stream audio. Ensure these are installed and added to your **PATH**: | |
| * **FFmpeg**: Required for real-time audio decoding. | |
| * **curl**: Required for streaming data from remote servers. | |
| ### 2. Python Libraries | |
| Due to changes in the Hugging Face `datasets` library (v3.0+), you **must** use a version lower than 3.0.0 to support custom loading scripts. | |
| ```bash | |
| pip install "datasets<3.0.0" lhotse torchaudio smart_open requests | |
| ``` | |
| --- | |
| ## 💻 Usage | |
| To use this dataset, you must enable `trust_remote_code=True` and `streaming=True`. | |
| ```python | |
| from datasets import load_dataset | |
| # Load the dataset in streaming mode | |
| dataset = load_dataset( | |
| "N02N9/yodas_owsmv4_streaming", | |
| trust_remote_code=True, | |
| streaming=True | |
| ) | |
| # Accessing the data (IterableDataset) | |
| train_iter = iter(dataset['train']) | |
| sample = next(train_iter) | |
| print(f"ID: {sample['id']}") | |
| print(f"Language: {sample['id'].split('_')[-2]}") # Language code extraction | |
| print(f"Text: {sample['text']}") | |
| print(f"Audio Sample Rate: {sample['audio']['sampling_rate']}Hz") | |
| ``` | |
| --- | |
| ## 📊 Dataset Features | |
| | Feature | Type | Description | | |
| | :--- | :--- | :--- | | |
| | **id** | string | Unique identifier for each audio cut (includes language info) | | |
| | **audio** | dict | Real-time decoded audio (array, sampling_rate=16kHz) | | |
| | **text** | string | The transcribed text for the audio segment | | |
| --- | |
| ## ⚠️ Troubleshooting & FAQ | |
| * **`KeyError: 'text'`**: This usually happens if the loader script (`yodas_owsmv4_streaming.py`) failed to run or if you are using a cached version of the dataset. Try adding `download_mode="force_redownload"` to the `load_dataset` function. | |
| * **Hanging on Windows**: As mentioned above, this loader is not compatible with Windows. Please use a **Linux/WSL2** environment. | |
| * **Library Version**: If you get a "Loading script unsupported" error, downgrade your datasets library: `pip install "datasets<3.0.0"`. | |
| --- | |
| ## 📜 License & Acknowledgments | |
| * **Original Source**: [Yodas Dataset (Meta/ESPnet)](https://huggingface.co/datasets/espnet/yodas_owsmv4) | |
| * **Modifications**: Custom Lhotse-based streaming loader and offset corrections by **N02N9**. | |
| * **License**: This dataset follows the licensing terms of the original Yodas release (typically CC-BY 4.0). Please credit the original authors accordingly. |