Synthetic Frontend Code Debugging Examples with Chain-of-Thought Reasoning

Synthetic examples of frontend and UI engineering code debugging problems, each with chain-of-thought reasoning and solutions. The dataset was created by glyphsoftware using a three-stage pipeline of seed problem generation, problem evolution, and detailed solving. Topics focus on CSS, React, accessibility, layout, and design systems.

Use Cases

• Train a language model to generate debugging solutions by learning from the provided chain-of-thought reasoning steps.
• Fine-tune a code assistant on frontend-specific topics like CSS, React, and accessibility using the synthetic problem-solution pairs.
• Analyze patterns in UI engineering issues, such as SSR/hydration or layout bugs, documented within the problem descriptions.

Strengths

• Contains chain-of-thought reasoning for each debugging example, providing step-by-step logic.
• Focuses on specific frontend engineering topics including CSS, React, and web accessibility.
• Built with a structured three-stage pipeline for generating and evolving problems.

Limitations

• Data is synthetic, not sourced from real-world production codebases, which may limit practical relevance.
• The dataset scope is narrow, focusing only on frontend and UI engineering topics.
• Unknown size and row count prevent assessment of scale for model training.

Provenance

Source

huggingface, author glyphsoftware

Collection Method

Synthetic generation via a three-stage pipeline: seed problem, evolved problem, detailed solve.

Time Range

null

Freshness

Last updated March 24, III.

Geography

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