license: other
language: php
pretty_name: php Code Dataset (php-codesearch-dataset-openV2)
tags:
- code
- php
- codesearchnet-format
- source-code
- documentation
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
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: 865654575
num_examples: 1326581
- name: validation
num_bytes: 8460461
num_examples: 11192
- name: test
num_bytes: 37954919
num_examples: 60519
download_size: 155268878
dataset_size: 912069955
php Code Dataset (php-codesearch-dataset-openV2)
Dataset Description
This dataset contains php methods (functions) along with their documentation comments (typically #
comments preceding the def
line), extracted from various GitHub repositories. It follows a format similar to CodeSearchNet.
Features
The dataset includes the following features for each sample:
code
: The php method's source code (fromdef
toend
).docstring
: The documentation comment associated with the method.func_name
: The name of the method (function).language
: The programming language (always"php"
).repo
: The full name of the source GitHub repository (e.g.,rails/rails
).path
: The relative file path within the source repository.url
: A GitHub URL pointing to the source file (usually on the master/main branch).license
: The SPDX identifier of the license declared for the source repository (e.g.,MIT
,Apache-2.0
,php
, orNO LICENSE
).
Dataset Structure
The dataset is divided into the following splits:
train
: 1,326,581 examplesvalidation
: 11,192 examplestest
: 60,519 examples
Total Examples: 1,398,292
Usage
You can load and use this dataset using the datasets
library:
from datasets import load_dataset
# Load the dataset from the Hugging Face Hub
dataset = load_dataset("Shuu12121/php-codesearch-dataset-openV2")
# Access a specific split (e.g., training split)
train_data = dataset["train"]
# Explore the data
print(f"Number of training samples: {len(train_data):,}")
print("\nFirst training sample:")
print(train_data[0])
# Example: Access code and docstring of the first sample
first_sample = train_data[0]
print("\nMethod Name:", first_sample['func_name'])
print("\nDocstring:\n", first_sample['docstring'])
# print("\nCode Snippet:\n", first_sample['code'][:500] + "...") # Print first 500 chars of code
Data Collection
The data was collected by:
- Searching for popular and recent php repositories on GitHub.
- Cloning the repositories (shallow clone).
- Identifying php files (
.php
). - Using the
lizard
tool to parse the code and identify method definitions. - Extracting the method code and the preceding
#
comment lines as documentation. - Filtering out methods without documentation or with very short code.
- Recording metadata like repository name, file path, and license.
- Splitting the data by repository (80% train, 10% validation, 10% test) to prevent data leakage between splits.
Licensing
The code snippets included in this dataset are sourced from various GitHub repositories under different licenses (MIT, Apache-2.0, php License, BSD clauses, etc.). Each data sample contains a license
field indicating the license of the source repository. Users of this dataset should be aware of and respect the original licenses when using the code snippets. The dataset itself (the collection and organization) is provided under a permissive license, but the underlying code snippets retain their original licenses.
Disclaimer
This dataset was generated through an automated process. While efforts were made to accurately extract methods and documentation, there might be errors or inaccuracies.