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