| | --- |
| | 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. |
| |
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| | 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. |
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|
| | **1. Introduction** |
| |
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| | 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: |
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| | - Improve domain-specific performance |
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| | - Reduce cross-language noise |
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| | - Enable controlled experimental settings |
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| | - Support Java-specific tooling and research |
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| | Java-Code-Large addresses this need by providing a dedicated Java-only dataset at substantial scale. |
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| | **2. Dataset Composition** |
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| | Programming Language: Java |
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| | File Count: 15M+ Java files |
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| | File Format: .jsonl |
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| | Content Types: |
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| | - Classes |
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| | - Interfaces |
| |
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| | - Enums |
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| | - Methods |
| |
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| | - Annotations |
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| | - JavaDoc comments |
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| | - Exception handling structures |
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| | - Generics and concurrency constructs |
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| | The dataset consists of source code extracted from publicly accessible open-source repositories. |
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| |
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| | **3. Intended Research Applications** |
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| | |
| | 3.1 Pretraining |
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| | - Training code foundation models from scratch |
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| | - Continued pretraining of existing LLMs |
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| | - Java-specialized language modeling |
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| | |
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| | 3.2 Fine-Tuning and Adaptation |
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| | - Code completion systems |
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| | - Automated refactoring tools |
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| | - IDE copilots |
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| | - Java-specific conversational assistants |
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| | 3.3 Code Intelligence Tasks |
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| | - Code summarization |
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| | - Code-to-text generation |
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| | - Bug detection |
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| | - Vulnerability detection |
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| | - Clone detection |
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| | - Code similarity modeling |
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| | - Static and structural analysis |
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| | |
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| | 3.4 Software Engineering Research |
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| | - Empirical studies of Java programming patterns |
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| | - Tokenization and AST modeling experiments |
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| | Thanks to open source community for all the guidance & support!! |
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