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# Overview
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This dataset contains 18,219 rows of code-docstring-ast data along with additional metadata. Data was gathered from various Python libraries and frameworks
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publicly available GitHub repos.
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# Overview
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This dataset contains 18,219 rows of code-docstring-ast data along with additional metadata. Data was gathered from various Python libraries and frameworks
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publicly available GitHub repos. Initial raw dataset count was 25,480 down to 18,219 after preprocessing.
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# Sources
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The dataset was gathered from various GitHub repos sampled from [this repo by Vinta.](https://github.com/vinta/awesome-python)
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The 26 repos are:
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- matplotlib
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- pytorch
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- cryptography
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- django
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- prospector
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- scikit-learn
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- pandas
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- numpy
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- uvicorn
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- feincms
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- algorithms
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- scrapy
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- authlib
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- seaborn
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- coconut
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- tensorflow
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- flexx
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- salmon
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- mongo-python-driver
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- virtualenv
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- sphinx
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- schema
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- kornia
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- scipy
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- cherrypy
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- pygame
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Sampling was at random; I simply browsed through each category from Vinta's list and chose one from a random interesting category.
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# Dataset Instance
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An instance of the dataset is as follows:
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```
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{
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<library> : <The library from which the source code came from>,
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<name> : <The name of the function/class/method>,
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<source code> : <The raw source code itself>,
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<docstring> : <The corresponding docstring of the code>,
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<type> : <Whether it's a function, method, or class>,
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<file_path> : <The relative path of the file containing the function>,
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<line_number> : <The line number of the function, method, or class within the file>,
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<ast_sequence> : <The ast sequence of the raw source code. Scroll down for more info about this>
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}
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```
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