| --- |
| 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} |
| } |
| ``` |
