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: 2029823478
      num_examples: 764189
    - name: validation
      num_bytes: 158726194
      num_examples: 125016
    - name: test
      num_bytes: 75240901
      num_examples: 75350
  download_size: 411968838
  dataset_size: 2263790573
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*

Java Code Dataset

Dataset Description

This dataset contains Java functions with their documentation comments extracted from GitHub repositories.

Features

code: The Java function code
docstring: Documentation comment for the function
func_name: Function name
language: Programming language (always "Java")
repo: Source repository name
path: File path within the repository
url: GitHub URL to the source file
license: License of the source code

Dataset Structure

The dataset contains the following splits:

train: 764189 examples
validation: 125016 examples
test: 75350 examples

Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("Shuu12121/java-codesearch-dataset-open")

# Access the training split
train_data = dataset["train"]

# Example: Print the first sample
print(train_data[0])

Source

This dataset was created by scraping Java 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.