Java-Code-Large-text-only

@@ -18,101 +18,9 @@ Java-Code-Large is a large-scale corpus of publicly available Java source code c
 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!!

 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.
+-----
+Duplicated from [ajibawa-2023/Java-Code-Large](https://huggingface.co/datasets/ajibawa-2023/Java-Code-Large), where the only difference is that the "language" column containing only "java" is removed.
+Dataset updated using huggingface_hub datasets on colab.