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---
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!!
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