metadata
language:
- en
tags:
- code
- web
- dev
- HTML
- CSS
- JS
- Server
Dataset Name:
Web Structure Fine-Tuning Dataset for AI
Description:
This dataset is designed to support the fine-tuning of AI models focused on understanding and generating explanations about web technologies and structures. It contains 100,000 varied examples covering fundamental web concepts such as HTML, CSS, JavaScript, HTTP, APIs, SEO, and responsive design. Each example consists of a prompt and a corresponding completion, providing a comprehensive resource for training models to answer questions and provide insights related to web development.
Key Features:
- Diverse Topics: Covers a wide range of web technologies and concepts.
- Large Scale: Includes 100,000 examples to ensure robust training.
- Variations: Each concept is presented with multiple variations to enhance learning.
- Bilingual: Available in both English and French, making it accessible for multilingual training.
Use Cases:
- Fine-tuning language models for web development assistance.
- Training AI to answer FAQs related to web technologies.
- Enhancing educational tools for learning web development.
Structure:
- Format: JSON
- Fields:
prompt: A question or statement related to web structure.completion: The corresponding answer or explanation.
Limitations:
- The dataset is synthetically generated and may not cover all edge cases or real-world scenarios.
- Some variations may be repetitive due to the large scale of the dataset.
Access:
The dataset is available for download and use in AI training and educational applications.