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README.md
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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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| 33 |
# About This Dataset
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| 34 |
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| 35 |
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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| 36 |
+
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| 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.
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| 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.
|