Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+task_categories:
+- text-generation
+language:
+- en
+tags:
+- code
+- Cpp
+size_categories:
+- 1M<n<10M
+---
+
+
+**Cpp-Code-Large**
+
+Cpp-Code-Large is a large-scale corpus of C++ source code comprising more than **5 million** lines of C++ code. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, software engineering automation, and static program analysis for the C++ ecosystem.
+
+By providing a high-volume, language-specific corpus, Cpp-Code-Large enables systematic experimentation in C++-focused model training, domain adaptation, and downstream code understanding tasks.
+
+Cpp-Code-Large addresses the need for a dedicated C++-only dataset at substantial scale, enabling focused research across systems programming, performance-critical applications, embedded systems, game engines, and large-scale native software projects.
+
+
+**1. Dataset Composition**
+
+Programming Language: C++
+
+Total Size: 5M+ lines of C++ code
+
+File Format: .jsonl
+
+Primary Content: C++ source and header files (.cpp, .cc, .cxx, .hpp, .h)
+
+
+Content Types
+
+The dataset includes a wide variety of C++ constructs and paradigms, such as:
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+- Core Language Features
+
+- Functions and function overloading
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+- Templates (function and class templates)
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+- Lambda expressions
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+- Namespaces
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+- Macros and preprocessor directives
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+- Inline functions
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+- Header/source separation patterns
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+
+
+Object-Oriented Programming
+
+
+- Classes and structs
+
+- Inheritance (single and multiple)
+
+- Polymorphism and virtual functions
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+- Abstract base classes
+
+- Encapsulation patterns
+
+- Operator overloading
+
+  
+
+Modern C++ (C++11/14/17/20) Features
+
+
+- Smart pointers (unique_ptr, shared_ptr, weak_ptr)
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+- Move semantics and rvalue references
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+- Auto keyword and type inference
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+- constexpr and consteval usage
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+- Structured bindings
+
+
+Memory and Resource Management
+
+
+- RAII patterns
+
+- Manual memory management (new / delete)
+
+- Custom allocators
+
+- Smart pointer ownership patterns
+
+- Exception-safe resource handling
+
+- 
+
+Standard Template Library (STL)
+
+
+- Containers (vector, map, unordered_map, set, etc.)
+
+- Iterators and algorithms
+
+- Functional utilities
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+- Threading primitives (std::thread, mutex, condition_variable)
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+- Filesystem library
+
+- Chrono utilities
+
+  
+
+Concurrency and Parallelism
+
+
+- Multithreading patterns
+
+- Synchronization primitives
+
+- Lock-free patterns (where applicable)
+
+- Async programming
+
+- Thread pools
+
+  
+
+Systems and Low-Level Programming
+
+
+- File I/O
+
+- Socket programming
+
+- OS-level interactions
+
+- Embedded-style programming patterns
+
+- Performance optimization techniques
+
+
+
+Build and Project Structures
+
+
+- CMake-based project structures
+
+- Modular header organization
+
+- Static and dynamic library patterns
+
+- Cross-platform compatibility patterns
+
+
+**2. Intended Research Applications**
+
+2.1 Pretraining
+
+- Training C++ code foundation models from scratch
+
+- Continued pretraining of existing LLMs
+
+- C++-specialized language modeling
+
+- Tokenizer training for C++ ecosystems
+
+- Domain adaptation for systems-level models
+
+
+2.2 Fine-Tuning and Adaptation
+
+- Code completion systems
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+- Intelligent IDE assistants
+
+- Automated refactoring tools
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+- Conversational programming agents
+
+- C++-specific copilots
+
+- Static analyzer enhancement models
+
+- Performance optimization assistants
+
+
+2.3 Code Intelligence Tasks
+
+- Code summarization
+
+- Code-to-text generation
+
+- Documentation generation
+
+- Bug detection
+
+- Security vulnerability detection
+
+- Clone detection
+
+- Code similarity modeling
+
+- Dead code detection
+
+- Complexity estimation
+
+- Static and structural analysis
+
+- Legacy-to-modern C++ migration modeling (e.g., raw pointers → smart pointers)
+
+
+2.4 Software Engineering Research
+
+- Empirical studies of C++ coding patterns
+
+- Analysis of architectural styles in native applications
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+- STL and template usage studies
+
+- Memory management strategy analysis
+
+- Concurrency pattern modeling
+
+- AST-based experimentation
+
+- Cross-version C++ evolution analysis
+
+- Security practice analysis in performance-critical systems
+
+
+**3. Ecosystem Coverage**
+
+C++-Code-Large spans a broad range of C++ application domains, including:
+
+- Systems software
+
+- Embedded systems
+
+- Scientific and numerical computing
+
+- Desktop applications
+
+- Cross-platform libraries
+
+- Networking applications
+
+- CLI tools
+
+- Microservices written in C++
+
+The dataset captures both legacy C++ (pre-C++11 style) and modern C++ (C++11/14/17/20) development patterns, enabling cross-era research and modernization studies.
+
+
+Thanks to open source community for all the guidance & support!!