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  annotations_creators:
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  - no-annotation
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  language:
 
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  - en
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  license: mit
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  multilinguality:
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- - monolingual
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  size_categories:
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  - n<1K
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  task_categories:
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- - sequence-modeling
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  task_ids:
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- - language-modeling
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- dataset_info:
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- features:
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- - name: system
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- dtype: string
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- - name: instruction
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- dtype: string
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- - name: response
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 58556
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- num_examples: 13
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- download_size: 43157
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- dataset_size: 58556
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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  ---
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  # burme-coder-max
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- A coder-focused dataset designed for training AI coding assistants with strong programming capabilities.
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  ## Dataset Description
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- This dataset contains coding examples with a comprehensive system prompt that enables AI models to:
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- - Write clean, well-documented code
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- - Follow best practices and design patterns
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- - Provide working solutions with explanations
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- - Handle edge cases appropriately
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- - Offer alternative approaches
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  ## Dataset Structure
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  | Field | Type | Description |
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  |-------|------|-------------|
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- | system | string | System prompt defining coder behavior |
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- | instruction | string | User's coding task or question |
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- | response | string | Complete code solution with explanations |
 
 
 
 
 
 
 
 
 
 
 
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  ## Usage
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@@ -68,18 +60,9 @@ print(example['instruction'])
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  print(example['response'])
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  ```
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- ## Categories Covered
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-
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- - Algorithm & Data Structures
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- - Web Development (Node.js, Express)
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- - Database & SQL
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- - TypeScript & Type Safety
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- - Go & Concurrent Programming
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- - Python Best Practices
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-
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  ## Version
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- 1.0.0
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  ## License
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  annotations_creators:
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  - no-annotation
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  language:
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+ - my
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  - en
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  license: mit
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  multilinguality:
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+ - multilingual
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  size_categories:
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  - n<1K
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  task_categories:
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+ - text-generation
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  task_ids:
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+ - instruction-tuning
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # burme-coder-max
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+ A coder-focused dataset with strong Burmese (Myanmar) language support for training AI coding assistants.
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  ## Dataset Description
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+ This dataset is designed for training AI coding assistants with:
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+ - **Bilingual support** (Burmese + English)
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+ - **Comprehensive coding examples** covering multiple programming languages
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+ - **Practical, real-world scenarios**
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+ - **Detailed explanations in Burmese**
 
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  ## Dataset Structure
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  | Field | Type | Description |
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  |-------|------|-------------|
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+ | system | string | System prompt (bilingual coder behavior) |
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+ | instruction | string | User's coding task in Burmese or English |
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+ | response | string | Complete code solution with Burmese explanations |
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+
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+ ## Programming Languages Covered
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+
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+ - Python
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+ - JavaScript / Node.js
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+ - TypeScript / React
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+ - SQL
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+ - Go
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+ - Django REST Framework
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+ - Docker
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+ - Git
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  ## Usage
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  print(example['response'])
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  ```
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  ## Version
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+ 1.0.1 (Updated with Burmese content)
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  ## License
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