| --- |
| license: mit |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - code |
| - java |
| size_categories: |
| - 10M<n<100M |
| --- |
| |
| **Java-Code-Large** |
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| 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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| **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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| 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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| 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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