md-nishat-008/

Do-Not-Code

	Do Not Code (CodeGuard Dataset)










	


	Dataset Description

Do Not Code is a curated dataset of 8,000 prompts designed for training and evaluating LLM guardrails in computer science education contexts. The dataset supports the CodeGuard framework, accepted at EACL 2026 Findings.

	Dataset Structure






	Data Fields




	

Field Type Description

prompt string The input prompt text

response string Model-generated response to the prompt

label… See the full description on the dataset page: https://huggingface.co/datasets/md-nishat-008/Do-Not-Code.