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--- |
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language: |
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- en |
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license: cc-by-4.0 |
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size_categories: |
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- 1M<n<10M |
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pretty_name: WebSight |
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dataset_info: |
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- config_name: v0.2 |
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features: |
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- name: image |
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dtype: image |
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- name: text |
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dtype: string |
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- name: llm_generated_idea |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 368943620718.125 |
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num_examples: 1922671 |
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download_size: 144861710051 |
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dataset_size: 368943620718.125 |
|
- config_name: v0.1 |
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features: |
|
- name: image |
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dtype: image |
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- name: text |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 35386660486.65 |
|
num_examples: 822987 |
|
download_size: 31394170440 |
|
dataset_size: 35386660486.65 |
|
configs: |
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- config_name: v0.2 |
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default: true |
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data_files: |
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- split: train |
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path: v0.2/train-* |
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- config_name: v0.1 |
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data_files: |
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- split: train |
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path: data/train-* |
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tags: |
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- code |
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- synthetic |
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--- |
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# Dataset Card for WebSight |
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## Dataset Description |
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WebSight is a large synthetic dataset containing HTML/CSS codes representing synthetically generated English websites, each accompanied by a corresponding screenshot. |
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This dataset serves as a valuable resource for tasks such as generating UI codes from a screenshot. |
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It comes in two versions: |
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- v0.1: Websites are coded with HTML + CSS. They do not include real images. |
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- v0.2: Websites are coded with HTML + Tailwind CSS. They do include real images. |
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Essentially, here are the improvements in version v0.2, compared to version v0.1: |
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- Websites include real images (related to the context of the website!!) |
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- Usage of Tailwind CSS instead of traditional CSS |
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- Contains 2x more examples |
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- Contains more tables |
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- Better resolution for the screenshots |
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- Presence of a column indicating the LLM-generated idea to create the websites |
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<details> |
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<summary>Details for WebSight-v0.1 (HTML + CSS)</summary> |
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## Data Fields |
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An example of a sample appears as follows: |
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``` |
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{ |
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'images': PIL.Image, |
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'text': '<html>\n<style>\n{css}</style>\n{body}\n</html>', |
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} |
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``` |
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where `css` is the CSS code, and `body` is the body of the HTML code. |
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In other words, the CSS code is embedded directly within the HTML code, facilitating the straightforward training of a model. |
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## Data Splits |
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There is only one split, `train`, that contains 822,987 images and codes. |
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## Dataset Creation |
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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 |
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``` |
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Generate diverse website layout ideas for different companies, each with a unique design element. |
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Examples include: a car company site with a left column, a webpage footer with a centered logo. |
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Explore variations in colors, positions, and company fields. |
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Don't give any explanations or recognition that you have understood the request, |
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just give the list of 10 ideas, with a line break between each. |
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``` |
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which were then passed to [Deepseek-Coder-33b-Instruct](https://huggingface.co/deepseek-ai/deepseek-coder-33b-instruct) with the prompt |
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``` |
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Create a very SIMPLE and SHORT website with the following elements: {idea} |
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Be creative with the design, size, position of the elements, columns, etc... |
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Don't give any explanation, just the content of the HTML code `index.html` starting with `<!DOCTYPE html>`, |
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followed by the CSS code `styles.css` starting with `/* Global Styles */`. |
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Write real and short sentences for the paragraphs, don't use Lorem ipsum. |
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When you want to display an image, don't use <img> in the HTML, always display a colored rectangle instead. |
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``` |
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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>'`. |
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</details> |
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<details> |
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<summary>Details for WebSight-v0.2 (HTML + Tailwind CSS)</summary> |
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## Data Fields |
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An example of a sample appears as follows: |
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``` |
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{ |
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'images': PIL.Image, |
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'text': '<html>\n<link href="https://cdn.jsdelivr.net/npm/tailwindcss@2.2.19/dist/tailwind.min.css" rel="stylesheet">\n{body}\n</html>', |
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} |
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``` |
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where `body` is the body of the HTML code, containing directly the Tailwind CSS code and facilitating the straightforward training of a model. |
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## Data Splits |
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There is only one split, `train`, that contains TO DO images and codes. |
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## Dataset Creation |
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TO DO. |
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For now, the creation of the dataset is documented in the technical report. |
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</details> |
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## Terms of Use |
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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. |
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### Licensing Information |
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License CC-BY-4.0. |
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### Citation Information |
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If you are using this dataset, please cite our [technical report](https://arxiv.org/abs/2403.09029) |
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``` |
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@misc{laurençon2024unlocking, |
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title={Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset}, |
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author={Hugo Laurençon and Léo Tronchon and Victor Sanh}, |
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year={2024}, |
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eprint={2403.09029}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.HC} |
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} |
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``` |
