metadata
dataset_info:
features:
- name: code
dtype: string
- name: docstring
dtype: string
- name: func_name
dtype: string
- name: language
dtype: string
- name: repo
dtype: string
- name: path
dtype: string
- name: url
dtype: string
- name: license
dtype: string
splits:
- name: train
num_bytes: 1319884423
num_examples: 858128
- name: validation
num_bytes: 20659872
num_examples: 13376
- name: test
num_bytes: 25958039
num_examples: 18051
download_size: 387807991
dataset_size: 1366502334
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
license: apache-2.0
task_categories:
- translation
language:
- en
tags:
- code
Python Code Dataset
Dataset Description
This dataset contains Python functions with their documentation comments extracted from GitHub repositories.
Features
code
: The Python function codedocstring
: Documentation comment for the functionfunc_name
: Function namelanguage
: Programming language (always "Python")repo
: Source repository namepath
: File path within the repositoryurl
: GitHub URL to the source filelicense
: License of the source code
Dataset Structure
The dataset contains the following splits:
- train: 858128 examples
- validation: 13376 examples
- test: 18051 examples
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("USERNAME/DATASET_NAME")
# Access the training split
train_data = dataset["train"]
# Example: Print the first sample
print(train_data[0])
Source
This dataset was created by scraping Python code from GitHub repositories. Each function includes its documentation comment and license information.
License
This dataset contains code from various repositories with different licenses. Each sample includes its original license information in the license
field.