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These are the C++ and Python datasets that were used for the [TASTY ](https://arxiv.org/abs/2305.05379) research paper, published at the ICLR DL4Code (Deep Learning for Code) workshop.

The data was scraped and then most of the data was manually checked for accuracy of scraping. The data was scraped from GeeksForGeeks (GFG).

There were a lot of manual edits made to the complexities to make sure that it corresponds to the format that we needed it to correspond to, for the purposes of the paper.
That is to say, some of the complexities may not be "exactly" as they are shown on GeeksforGeeks.

There is work being done on a second version of the paper as well as an improved dataset that will span more languages.

If you have any questions / comments / feedback, please reach out.

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- license: cc-by-3.0
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+ ---
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+ license: cc-by-3.0
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+ task_categories:
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+ - text-classification
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+ - zero-shot-classification
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+ language:
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+ - en
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+ tags:
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+ - code
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+ pretty_name: C++ and Python Code with Complexities from the TASTY paper
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+ size_categories:
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+ - 1K<n<10K
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+ ---