Datasets:

HuggingFaceM4
/

WebSight

	---
	language:
	- en
	license: cc-by-4.0
	size_categories:
	- 1M<n<10M
	pretty_name: WebSight
	dataset_info:
	- config_name: v0.2
	features:
	- name: image
	dtype: image
	- name: text
	dtype: string
	- name: llm_generated_idea
	dtype: string
	splits:
	- name: train
	num_bytes: 368943620718.125
	num_examples: 1922671
	download_size: 144861710051
	dataset_size: 368943620718.125
	- config_name: v0.1
	features:
	- name: image
	dtype: image
	- name: text
	dtype: string
	splits:
	- name: train
	num_bytes: 35386660486.65
	num_examples: 822987
	download_size: 31394170440
	dataset_size: 35386660486.65
	configs:
	- config_name: v0.2
	default: true
	data_files:
	- split: train
	path: v0.2/train-*
	- config_name: v0.1
	data_files:
	- split: train
	path: data/train-*
	tags:
	- code
	- synthetic
	---
	# Dataset Card for WebSight


	## Dataset Description

	WebSight is a large synthetic dataset containing HTML/CSS codes representing synthetically generated English websites, each accompanied by a corresponding screenshot.

	This dataset serves as a valuable resource for tasks such as generating UI codes from a screenshot.

	It comes in two versions:
	- v0.1: Websites are coded with HTML + CSS. They do not include real images.
	- v0.2: Websites are coded with HTML + Tailwind CSS. They do include real images.

	Essentially, here are the improvements in version v0.2, compared to version v0.1:
	- Websites include real images (related to the context of the website!!)
	- Usage of Tailwind CSS instead of traditional CSS
	- Contains 2x more examples
	- Contains more tables
	- Better resolution for the screenshots
	- Presence of a column indicating the LLM-generated idea to create the websites

	<details>
	<summary>Details for WebSight-v0.1 (HTML + CSS)</summary>

	## Data Fields

	An example of a sample appears as follows:
	```
	{
	'images': PIL.Image,
	'text': '<html>\n<style>\n{css}</style>\n{body}\n</html>',
	}
	```
	where `css` is the CSS code, and `body` is the body of the HTML code.
	In other words, the CSS code is embedded directly within the HTML code, facilitating the straightforward training of a model.

	## Data Splits

	There is only one split, `train`, that contains 822,987 images and codes.

	## Dataset Creation

	This dataset was created using [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) to generate random website ideas with the prompt
	```
	Generate diverse website layout ideas for different companies, each with a unique design element.
	Examples include: a car company site with a left column, a webpage footer with a centered logo.
	Explore variations in colors, positions, and company fields.
	Don't give any explanations or recognition that you have understood the request,
	just give the list of 10 ideas, with a line break between each.
	```
	which were then passed to [Deepseek-Coder-33b-Instruct](https://huggingface.co/deepseek-ai/deepseek-coder-33b-instruct) with the prompt
	```
	Create a very SIMPLE and SHORT website with the following elements: {idea}
	Be creative with the design, size, position of the elements, columns, etc...
	Don't give any explanation, just the content of the HTML code `index.html` starting with `<!DOCTYPE html>`,
	followed by the CSS code `styles.css` starting with `/* Global Styles */`.
	Write real and short sentences for the paragraphs, don't use Lorem ipsum.
	When you want to display an image, don't use <img> in the HTML, always display a colored rectangle instead.
	```
	Following these steps, the HTML and CSS codes were extracted from the outputs of Deepseek-Coder and formatted into the structure `'<html>\n<style>\n{css}</style>\n{body}\n</html>'`.

	</details>

	<details>
	<summary>Details for WebSight-v0.2 (HTML + Tailwind CSS)</summary>

	## Data Fields

	An example of a sample appears as follows:
	```
	{
	'images': PIL.Image,
	'text': '<html>\n<link href="https://cdn.jsdelivr.net/npm/tailwindcss@2.2.19/dist/tailwind.min.css" rel="stylesheet">\n{body}\n</html>',
	}
	```
	where `body` is the body of the HTML code, containing directly the Tailwind CSS code and facilitating the straightforward training of a model.

	## Data Splits

	There is only one split, `train`, that contains TO DO images and codes.

	## Dataset Creation

	TO DO.

	For now, the creation of the dataset is documented in the technical report.
	</details>

	## Terms of Use

	By using the dataset, you agree to comply with the original licenses of the source content as well as the dataset license (CC-BY-4.0). Additionally, if you use this dataset to train a Machine Learning model, you agree to disclose your use of the dataset when releasing the model or an ML application using the model.

	### Licensing Information

	License CC-BY-4.0.

	### Citation Information

	If you are using this dataset, please cite our [technical report](https://arxiv.org/abs/2403.09029)
	```
	@misc{laurençon2024unlocking,
	title={Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset},
	author={Hugo Laurençon and Léo Tronchon and Victor Sanh},
	year={2024},
	eprint={2403.09029},
	archivePrefix={arXiv},
	primaryClass={cs.HC}
	}
	```