Datasets:
license: mit
task_categories:
- text-generation
language:
- en
tags:
- code
- java
size_categories:
- 10M<n<100M
Java-Code-Large
Java-Code-Large is a large-scale corpus of publicly available Java source code comprising more than 15 million java codes. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, software engineering automation, and program analysis.
By providing a high-volume, language-specific corpus, Java-Code-Large enables systematic experimentation in Java-focused model training, domain adaptation, and downstream code understanding tasks.
1. Introduction
Large-scale code corpora have become fundamental resources for training and evaluating machine learning models for code-related tasks. While multilingual code datasets exist, there is increasing interest in language-specialized corpora to:
Improve domain-specific performance
Reduce cross-language noise
Enable controlled experimental settings
Support Java-specific tooling and research
Java-Code-Large addresses this need by providing a dedicated Java-only dataset at substantial scale.
2. Dataset Composition
Programming Language: Java
File Count: 15M+ Java files
File Format: .jsonl
Content Types:
Classes
Interfaces
Enums
Methods
Annotations
JavaDoc comments
Exception handling structures
Generics and concurrency constructs
The dataset consists of source code extracted from publicly accessible open-source repositories.
3. Intended Research Applications
3.1 Pretraining
Training code foundation models from scratch
Continued pretraining of existing LLMs
Java-specialized language modeling
3.2 Fine-Tuning and Adaptation
Code completion systems
Automated refactoring tools
IDE copilots
Java-specific conversational assistants
3.3 Code Intelligence Tasks
Code summarization
Code-to-text generation
Bug detection
Vulnerability detection
Clone detection
Code similarity modeling
Static and structural analysis
3.4 Software Engineering Research
Empirical studies of Java programming patterns
Tokenization and AST modeling experiments
Thanks to open source community for all the guidance & support!!