ajibawa-2023/PHP-Code-Large

PHP-Code-Large

PHP-Code-Large is a large-scale corpus of PHP source code comprising more than 12 million lines of PHP code. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, software engineering automation, and static program analysis for the PHP ecosystem.

By providing a high-volume, language-specific corpus, PHP-Code-Large enables systematic experimentation in PHP-focused model training, domain adaptation, and downstream code understanding tasks.

PHP-Code-Large addresses the need for a dedicated PHP-only dataset at substantial scale, enabling focused research across backend systems, CMS platforms, APIs, and full-stack PHP environments.

1. Dataset Composition

Programming Language: PHP Total Size: 12M+ lines of PHP code File Format: .jsonl Primary Content: PHP source code files

Each JSONL entry contains structured information about a single PHP code.

Content Types

The dataset includes a wide variety of PHP constructs and paradigms, such as:

• Functions (declarations, anonymous functions, arrow functions)

• Object-Oriented Programming (classes, traits, interfaces)

• Namespaces and autoloading patterns

• Composer-based dependency structures

• MVC architecture patterns

• REST API implementations

• Database interaction (PDO, MySQLi)

• Form handling and validation

• Session and cookie management

• Middleware patterns

• Error and exception handling

• Legacy PHP (5.x style) and modern PHP (7.x / 8.x) features

• Type declarations and strict typing

• Templating integrations

• Security-related patterns (sanitization, hashing, authentication logic)

• PHPDoc comments

• CMS and framework-style architecture patterns

2. Intended Research Applications

2.1 Pretraining

• Training PHP code foundation models from scratch

• Continued pretraining of existing LLMs

• PHP-specialized language modeling

• Tokenizer training for PHP ecosystems

• Domain adaptation for backend-focused models

2.2 Fine-Tuning and Adaptation

• Code completion systems

• Intelligent IDE assistants

• Automated refactoring tools

• Conversational programming agents

• PHP-specific copilots

• Framework-aware coding assistants

2.3 Code Intelligence Tasks

• Code summarization

• Code-to-text generation

• Documentation generation

• Bug detection

• Security vulnerability detection

• Clone detection

• Code similarity modeling

• Dead code detection

• Static and structural analysis

• Legacy-to-modern PHP migration modeling

2.4 Software Engineering Research

• Empirical studies of PHP coding patterns

• Analysis of backend architecture styles

• Framework usage studies

• Dependency and autoloading modeling

• AST-based experimentation

• Cross-version PHP evolution analysis

• Security practice analysis in web applications

3. Ecosystem Coverage

PHP-Code-Large spans a broad range of PHP application domains, including:

• Backend web applications

• RESTful APIs

• CMS-based architectures

• E-commerce platforms

• CLI tools

• Microservices

• Full-stack PHP projects

The dataset captures both legacy monolithic architectures.

Thanks to open source community for all the guidance & support!!