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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.
 
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  # About This Dataset
34
 
35
  The HuggingFaceTB team has released an impressive series of models called smollm (V1/V2) (paper： https://arxiv.org/abs/2502.02737).
36
+
37
  According to their documentation, they used Stack-Edu as the code field corpus for pretraining and published https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus.
38
 
39
  However for some reason, only a Python-Edu subset is accessible and there's no content/text field in it.
40
+
41
  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.
42
 
43
  Fortunately, the py-edu subset is relatively small (~7 million files) for me to afford; downloading the entire set takes approximately one hour.
44
+
45
  I am publishing the complete py-edu dataset here for anyone who needs it.
46
 
47
  If this release inadvertently causes any issues for the HuggingFaceTB team, please reach out to me and I will remove it immediately.