File size: 5,160 Bytes
83531fd a050083 0af5457 0c566a9 83531fd a050083 0c566a9 0af5457 a050083 5dc561a a050083 0af5457 4e91fd4 d8bcea3 83531fd 0aa7c78 83531fd 4e91fd4 0af5457 e447616 4e91fd4 0af5457 4e91fd4 bac0e7c 4e91fd4 bac0e7c 4e91fd4 0af5457 4e91fd4 75df468 b11f817 75df468 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 |
---
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}
}
``` |