Dataset · Hugging Face

luzimu/webgen-agent_train_sft

Name: webgen-agent_train_sft
Creator: luzimu
License: mit
Keywords: task_categories:image-text-to-text, license:mit, size_categories:n<1K, format:json, modality:document, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2509.22644, arxiv:2505.03733, region:us, code-generation, website-generation

WebGen-Agent WebGen-Agent is an advanced website generation agent designed to autonomously create websites from natural language instructions. It was introduced in the paper WebGen-Agent: Enhancing Interactive Website Generation with Multi-Level Feedback and Step-Level Reinforcement Learning. Code: https://github.com/mnluzimu/WebGen-Agent Project Overview WebGen-Agent combines state-of-the-art language models with specialized training techniques to create a… See the full description on the dataset page: https://huggingface.co/datasets/luzimu/webgen-agent_train_sft.

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Author / organization	luzimu
License (as declared)	mit
Downloads	143 (as reported by Hugging Face)
Likes	0
Created	31 August 2025
Last updated at source	17 October 2025

code-generationwebsite-generationmultimodalreinforcement-learningvlmllmagent-systems

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17 Oct 2026 Description: WebGen-Agent WebGen-Agent is an advanced website generation agent designed to autonomously create websites from natural language instructions. It was introduced in the paper WebGen-Agent: Enhancing Interactive Website Generation with Multi- → WebGen-Agent WebGen-Agent is an advanced website generation agent designed to autonomously create websites from natural language instructions. It was introduced in the paper WebGen-Agent: Enhancing Interactive Website Generation with Multi-

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