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--- |
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license: odc-by |
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--- |
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**OLMoASR-Pool** is a web-scale audio-text dataset collected from the public internet, consisting of approximately **3M hours of audio** and **17M transcripts**. |
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With OLMoASR-Pool, we trained **OLMoASR** 💬🎙️, a series of English speech recognition models and observed strong generalization and robust capabilities! |
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# Content |
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- The dataset contains 18,761,823 unique IDs spanning approximately 3.4M hours of audio. |
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- It also spans across a variety speaking styles, accents and audio setups such as news segments 📰, podcasts 🎙️, outdoors 🌳🏙️, crowds 🧑🤝🧑, speeches 🎤, commentary 🗣️, interviews 🤳 and more! |
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- **OLMoASR-Pool** is multilingual as it can contain non-English audio/transcripts. To retrieve an English-only dataset, it is critical to perform audio-text language alignment. |
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- After downloading the collection for training, only 3M hours of audio and 17M transcripts remains. |
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# Usage |
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1. Download from HuggingFace |
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- Retrieve HF access token from [here](https://huggingface.co/settings/tokens) to gain access to the dataset. |
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- Run `pip install huggingface_hub[cli]` |
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- Run `huggingface-cli login` in your CLI and paste the HF access token to login |
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- Use the code below to access the IDs |
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``` |
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from datasets import load_dataset |
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dataset = load_dataset("allenai/OLMoASR-Pool", streaming=True) |
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print(dataset) # features: ['id'] |
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print(next(iter(dataset['train']))) |
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``` |
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- If you're downloading all the IDs, you can run the code below |
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``` |
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from datasets import load_dataset |
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dataset = load_dataset("allenai/OLMoASR-Pool", streaming=False, cache_dir=<where you want to download the IDs to>) |
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``` |
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2. Download the audio and transcript files from ID information. |
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4. Preprocess the audio and transcript files. Follow the instructions at the [OLMoASR repo](https://github.com/allenai/OLMoASR_newest) |
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# Uses |
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The collection was used to train a speech recognition model, but it can also be used in research areas such as conversational data, audio understanding, speaker diarization, voice detection and more. |
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# License |
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This dataset is licensed under ODC-BY. It is intended for research and educational use in accordance with Ai2's [Responsible Use Guidelines](https://allenai.org/responsible-use). |
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# Reference |
