Duplicate from ajibawa-2023/Java-Code-Large

Co-authored-by: Feynman Innovations <ajibawa-2023@users.noreply.huggingface.co>

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README.md

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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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java_only_0047.jsonl

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