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@@ -53,4 +53,87 @@ The dataset includes a wide variety of JavaScript constructs and paradigms, such
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  - Error handling patterns
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- - Modern ES6+ features
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - Error handling patterns
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+ - Modern ES6+ features
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+ **2. Intended Research Applications**
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+ 2.1 Pretraining
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+ - Training JavaScript code foundation models from scratch
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+ - Continued pretraining of existing LLMs
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+ - JavaScript-specialized language modeling
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+ - Tokenizer training for JS ecosystems
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+ 2.2 Fine-Tuning and Adaptation
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+ - Code completion systems
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+ - Intelligent IDE assistants
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+ - Automated refactoring tools
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+ - Conversational programming agents
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+ - JavaScript-specific copilots
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+ 2.3 Code Intelligence Tasks
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+ - Code summarization
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+ - Code-to-text generation
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+ - Documentation 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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+ - Minified-to-readable code transformation
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+ - Static and structural analysis
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+ 2.4 Software Engineering Research
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+ - Empirical studies of JavaScript coding patterns
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+ - Analysis of async and event-driven architectures
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+ - Framework usage studies
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+ - Dependency modeling
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+ - AST-based experiments
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+ - Cross-version JavaScript evolution analysis
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+ 3. Relationship to **Java-Code-Large**(ajibawa-2023/Java-Code-Large)
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+ JavaScript-Code-Large complements **Java-Code-Large**, enabling comparative research between:
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+ - Statically typed vs dynamically typed languages
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+ - Class-based vs prototype-based paradigms
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+ - Backend vs frontend dominant ecosystems
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+ - JVM vs Node.js environments
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+ Together, these datasets support cross-language transfer learning and controlled specialization studies.
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