license: mit
task_categories:
- text-generation
language:
- en
tags:
- code
- javascript
JavaScript-Code-Large
JavaScript-Code-Large is a large-scale corpus of JavaScript source code comprising more than 5 million JavaScript files. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, software engineering automation, and program analysis for the JavaScript ecosystem.
By providing a high-volume, language-specific corpus, JavaScript-Code-Large enables systematic experimentation in JavaScript-focused model training, domain adaptation, and downstream code understanding tasks.
JavaScript-Code-Large addresses the need for a dedicated JavaScript-only dataset at substantial scale, enabling focused research across frontend, backend, and full-stack JavaScript environments. . 1. Dataset Composition
Programming Language: JavaScript File Count: 5M+ JavaScript files File Format: .jsonl
Content Types
The dataset includes a wide variety of JavaScript constructs and paradigms, such as:
Functions (declarations, expressions, arrow functions)
Classes and prototypes
Modules (CommonJS and ES Modules)
Asynchronous patterns (async/await, Promises, callbacks)
Event-driven code
Closures and higher-order functions
Functional programming constructs
DOM manipulation code
Node.js backend logic
Frontend framework components
JSDoc comments
Error handling patterns
Modern ES6+ features