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Tinysolar 248m 4k Code Instruct
These two datasets are primarily used for fine-tuning code generation and code feedback models. CodeAlpaca-20k contains 20k code generation instructions, while CodeFeedback-Filtered-Instruction contains filtered code feedback instructions.
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Release Time : 4/15/2024
Model Overview
These datasets are designed for training and fine-tuning AI models, particularly for code generation and code feedback tasks. CodeAlpaca-20k provides a large number of code generation examples, and CodeFeedback-Filtered-Instruction offers filtered, high-quality code feedback data.
Model Features
High-quality Code Generation Data
CodeAlpaca-20k provides 20,000 high-quality code generation instruction pairs, suitable for training code generation models.
Filtered Code Feedback
CodeFeedback-Filtered-Instruction contains filtered code feedback data with higher quality.
Multi-language Support
The dataset supports multiple programming languages, applicable to a wide range of code-related tasks.
Model Capabilities
Code generation
Code completion
Code explanation
Code error detection
Code optimization suggestions
Use Cases
Development Tools
IDE Smart Completion
Used for code auto-completion features in integrated development environments.
Improves development efficiency and reduces coding errors.
Programming Learning Assistance
Helps students understand code errors and provides improvement suggestions.
Enhances learning efficiency and quality.
Code Review
Automated Code Review
Automatically detects potential issues in code and provides improvement suggestions.
Improves code quality and consistency.
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