metadata

task_categories:
  - summarization
language:
  - en
tags:
  - code
size_categories:
  - 10K<n<100K

Overview

This dataset contains 18,219 rows of code-docstring-ast data along with additional metadata. Data was gathered from various Python libraries and frameworks publicly available GitHub repos. Initial raw dataset count was 25,480 down to 18,219 after preprocessing.

Sources

The dataset was gathered from various GitHub repos sampled from this repo by Vinta.

The 26 repos are:

matplotlib
pytorch
cryptography
django
prospector
scikit-learn
pandas
numpy
uvicorn
feincms
algorithms
scrapy
authlib
seaborn
coconut
tensorflow
flexx
salmon
mongo-python-driver
virtualenv
sphinx
schema
kornia
scipy
cherrypy
pygame

Sampling was at random; I simply browsed through each category from Vinta's list and chose one from a random interesting category.

Dataset Instance

An instance of the dataset is as follows:

{
  <library> : <The library from which the source code came from>,
  <name> : <The name of the function/class/method>,
  <source code> : <The raw source code itself>,
  <docstring> : <The corresponding docstring of the code>,
  <type> : <Whether it's a function, method, or class>,
  <file_path> : <The relative path of the file containing the function>,
  <line_number> : <The line number of the function, method, or class within the file>,
  <ast_sequence> : <The ast sequence of the raw source code. Scroll down for more info about this>
}