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---
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tags:
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- code
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- programming
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- dataset
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pretty_name: "Coding Dataset"
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---
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# Coding Dataset
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Production-grade dataset for training AI coding agents.
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## Dataset Summary
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- **Total Examples**: 6 (demo)
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- **Languages**: Python, JavaScript, Java
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- **Task Types**: Code Generation
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- **License**: CC0-1.0
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## Dataset Structure
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### Data Splits
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- train: 70% of data
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- validation: 15% of data
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- test: 15% of data
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### Features
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- `id` (string): Unique identifier
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- `code` (string): Source code snippet
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- `code_description` (string): Natural language description
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- `programming_language` (string): Language (python, javascript, java, etc.)
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- `task_type` (string): Type of task
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- `difficulty_level` (string): Difficulty (beginner, intermediate, advanced, expert)
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- `quality_score` (float): Quality score 0.0-1.0
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- `is_tested` (bool): Code is tested
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- `has_bugs` (bool): Known bugs exist
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- `lines_of_code` (int): Number of lines
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- `collected_at` (string): Collection timestamp
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## Usage
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```python
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from datasets import load_dataset
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# Load dataset
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dataset = load_dataset("romcmu863/code-dataset")
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# Access splits
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train = dataset['train']
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validation = dataset['validation']
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test = dataset['test']
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# Get first example
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example = train[0]
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print(example['code_description'])
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print(example['code'])
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```
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## License
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CC0-1.0
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## Created
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2025-10-25
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