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README.md
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@@ -502,7 +502,7 @@ The dataset encompasses **577M tokens**, and includes **4 sources**:
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1. [Textbooks](https://huggingface.co/datasets/nampdn-ai/tiny-textbooks) (1.2GB): Web data is too noisy, so we decided to use Tiny-Textbooks, a synthetic dataset generated by [Nous-Hermes-Llama2-13b](https://huggingface.co/NousResearch/Nous-Hermes-Llama2-13b)
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2. [**Medium Articles**](https://huggingface.co/datasets/fabiochiu/medium-articles) (960MB): While web data, especially medium articles, is noisy, we still need human-written examples
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3. [**Books**](https://huggingface.co/datasets/kmfoda/booksum) (284MB): Albeit small, books are still needed to instill creativity into the model
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4. **Q&A** (14MB):
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We chose to not include code, raw webdata (e.g., fineweb, c4, etc.), and more narrow domains (e.g., arxiv, clinical trials, lesswrong, etc.).
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1. [Textbooks](https://huggingface.co/datasets/nampdn-ai/tiny-textbooks) (1.2GB): Web data is too noisy, so we decided to use Tiny-Textbooks, a synthetic dataset generated by [Nous-Hermes-Llama2-13b](https://huggingface.co/NousResearch/Nous-Hermes-Llama2-13b)
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2. [**Medium Articles**](https://huggingface.co/datasets/fabiochiu/medium-articles) (960MB): While web data, especially medium articles, is noisy, we still need human-written examples
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3. [**Books**](https://huggingface.co/datasets/kmfoda/booksum) (284MB): Albeit small, books are still needed to instill creativity into the model
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4. **Q&A** (14MB): Sprinkled in to add more knowledgeable examples and question-answering.
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We chose to not include code, raw webdata (e.g., fineweb, c4, etc.), and more narrow domains (e.g., arxiv, clinical trials, lesswrong, etc.).
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