datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
webcode2m_purifiedWebCode2M: A Real-World Dataset for Code Generation from Webpage Designs
Features:
image: the screenshot of the webpage.
bbox: the layout information, i.e., the bounding boxes (Bbox) of all the elements in the webpage, which contains the size, position, and hierarchy information.
text: the webpage code text including HTML/CSS code.
scale: the scale of the screenshot, in the format [width, height].
lang: the main language of the text content displayed on the rendered page (excluding HTML/CSS… See the full description on the dataset page: https://huggingface.co/datasets/xcodemind/webcode2m_purified.webcode2mWebCode2M: A Real-World Dataset for Code Generation from Webpage Designs with Layouts
(This dataset is also called Vision2UI.)
Automatically generating webpage code from webpage designscan significantly reduce the workload of front-end developers, andrecent Multimodal Large Language Models (MLLMs) have shownpromising potential in this area. However, our investigation revealsthat most existing MLLMs are constrained by the absence of highquality, large-scale, real-world datasets, resulting in… See the full description on the dataset page: https://huggingface.co/datasets/xcodemind/webcode2m.webcoder-250kwebcode2m_testGemma4-E2B-SFT-WebCode
Gemma4-E2B-SFT-WebCode
Synthetic frontend web development dataset. Natural language component description → production-ready code.
Frameworks: React, TypeScript, Tailwind CSS, Vanilla HTML/CSS/JS.
Components: Navigation, forms, modals, data tables, charts, infinite scroll, etc.
Format: ShareGPT/ChatML. Includes accessibility attributes and comments.
Use: Fine-tune models for frontend copilot tasks.
Generator: DuoNeural/TurboGemma4E2B, temperature 0.65.
Gemma4-E2B-SFT-WebCode
Gemma4-E2B-SFT-WebCode
Synthetic frontend web development dataset. Natural language component description → production-ready code.
Frameworks: React, TypeScript, Tailwind CSS, Vanilla HTML/CSS/JS.
Components: Navigation, forms, modals, data tables, charts, infinite scroll, etc.
Format: ShareGPT/ChatML. Includes accessibility attributes and comments.
Use: Fine-tune models for frontend copilot tasks.
Generator: DuoNeural/TurboGemma4E2B, temperature 0.65.
unified-webcode-datasetwebcode2m-with-reasoningagentic_ii_agent_Qwen3_coder_prompt_web_benchagentic_ii_agent_Qwen3_coder_prompt_web_bench_verifiedagentic_dataset_qwen3_coder_webagentic_dataset_qwen3_coder_web_nodeagentic_dataset_qwen3_coder_web-sftweb-coder-deepseek-v4-flashopen-web-coder