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README.md
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Go-Code-Large addresses the relative scarcity of large, language-specific datasets for Go, enabling targeted research into idiomatic Go patterns, concurrency primitives, and scalable system design.
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## 1. Dataset Composition
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`.jsonl` (JSON Lines)
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## 2. Content Overview
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* Type assertions and type switches
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### 2.2 Concurrency and Parallelism
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* Worker pools and pipeline patterns
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* Context-based cancellation (`context.Context`)
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### 2.3 Software Design Patterns
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* Logging and configuration handling
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* Error propagation and wrapping
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### 2.4 Memory and Performance
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* Pointer usage and escape analysis patterns
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* Efficient I/O handling (`bufio`, `io.Reader`, `io.Writer`)
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### 2.5 Data Structures and Algorithms
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* Hash-based structures
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* Sorting and searching algorithms
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## 3. Intended Research Applications
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* Conversational coding agents
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* Backend service generation models
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### 3.2 Code Intelligence Tasks
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* Complexity estimation
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* Concurrency pattern analysis
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## 4. Key Advantages
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Go-Code-Large addresses the relative scarcity of large, language-specific datasets for Go, enabling targeted research into idiomatic Go patterns, concurrency primitives, and scalable system design.
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## 1. Dataset Composition
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`.jsonl` (JSON Lines)
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## 2. Content Overview
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| 54 |
* Type assertions and type switches
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### 2.2 Concurrency and Parallelism
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* Worker pools and pipeline patterns
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* Context-based cancellation (`context.Context`)
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### 2.3 Software Design Patterns
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* Logging and configuration handling
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* Error propagation and wrapping
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### 2.4 Memory and Performance
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* Pointer usage and escape analysis patterns
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* Efficient I/O handling (`bufio`, `io.Reader`, `io.Writer`)
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+
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### 2.5 Data Structures and Algorithms
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* Hash-based structures
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* Sorting and searching algorithms
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+
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## 3. Intended Research Applications
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| 107 |
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* Conversational coding agents
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* Backend service generation models
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| 117 |
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| 118 |
+
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### 3.2 Code Intelligence Tasks
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* Complexity estimation
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* Concurrency pattern analysis
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## 4. Key Advantages
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