File size: 1,564 Bytes
55dff4e 23a91b1 4ed4f59 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
---
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.](https://github.com/vinta/awesome-python)
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>
}
``` |