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replace too GPT phrases

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  1. README.md +6 -6
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@@ -33,12 +33,12 @@ configs:
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  # About This Dataset
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  The HuggingFaceTB team has released an impressive series of models called smollm (V1/V2) (paper: https://arxiv.org/abs/2502.02737).
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- According to their documentation, they used Stack-Edu as part of the code corpus for pretraining and published a corresponding dataset: https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus.
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- However, for some reason, only a small Python-Edu subset is readily accessible.
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- The full dataset is stored on AWS S3, and downloading it requires an AWS EC2 instance, making access inconvenient for many users.
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- Fortunately, the py-edu subset is relatively small (~7 million files), and downloading the entire set takes approximately one hour.
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- To make it more accessible, I am publishing the complete py-edu dataset here for anyone who needs it.
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- If this release inadvertently causes any issues for the HuggingFaceTB team, please reach out to me, and I will remove it immediately.
 
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  # About This Dataset
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  The HuggingFaceTB team has released an impressive series of models called smollm (V1/V2) (paper: https://arxiv.org/abs/2502.02737).
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+ According to their documentation, they used Stack-Edu as the code field corpus for pretraining and published https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus.
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+ However for some reason, only a Python-Edu subset is accessible and there's no content/text field in it.
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+ The full dataset is stored on AWS S3; downloading it requires an AWS EC2 instance, or you will be blocked by AWS's rate limits under which you will never download it.
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+ Fortunately, the py-edu subset is relatively small (~7 million files) for me to afford; downloading the entire set takes approximately one hour.
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+ I am publishing the complete py-edu dataset here for anyone who needs it.
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+ If this release inadvertently causes any issues for the HuggingFaceTB team, please reach out to me and I will remove it immediately.