Hugging Face's logo

Datasets:
stanford-crfm
/
image2struct-webpage-v1

Modalities:
Image
Text
Formats:
parquet
Size:
< 1K
Libraries:
Datasets
Dask
Dataset card Data Studio Files Community
1
image2struct-webpage-v1 / README.md
JosselinSom's picture
JosselinSom
Upload dataset
2a0e217 verified
preview code
|
raw
history blame contribute delete
11.1 kB
---
dataset_info:
- config_name: css
features:
- name: structure
dtype: string
- name: text
dtype: string
- name: image
dtype: image
- name: download_url
dtype: string
- name: instance_name
dtype: string
- name: date
dtype: string
- name: additional_info
dtype: string
- name: date_scrapped
dtype: string
- name: file_filters
dtype: string
- name: compilation_info
dtype: string
- name: rendering_filters
dtype: string
- name: assets
sequence: string
- name: category
dtype: string
- name: uuid
dtype: string
- name: length
dtype: string
- name: difficulty
dtype: string
splits:
- name: validation
num_bytes: 815105541.0
num_examples: 300
download_size: 809865478
dataset_size: 815105541.0
- config_name: html
features:
- name: structure
dtype: string
- name: text
dtype: string
- name: image
dtype: image
- name: download_url
dtype: string
- name: instance_name
dtype: string
- name: date
dtype: string
- name: additional_info
dtype: string
- name: date_scrapped
dtype: string
- name: file_filters
dtype: string
- name: compilation_info
dtype: string
- name: rendering_filters
dtype: string
- name: assets
sequence: string
- name: category
dtype: string
- name: uuid
dtype: string
- name: length
dtype: string
- name: difficulty
dtype: string
splits:
- name: validation
num_bytes: 263470560.0
num_examples: 300
download_size: 257833986
dataset_size: 263470560.0
- config_name: javascript
features:
- name: structure
dtype: string
- name: text
dtype: string
- name: image
dtype: image
- name: download_url
dtype: string
- name: instance_name
dtype: string
- name: date
dtype: string
- name: additional_info
dtype: string
- name: date_scrapped
dtype: string
- name: file_filters
dtype: string
- name: compilation_info
dtype: string
- name: rendering_filters
dtype: string
- name: assets
sequence: string
- name: category
dtype: string
- name: uuid
dtype: string
- name: length
dtype: string
- name: difficulty
dtype: string
splits:
- name: validation
num_bytes: 279510653.0
num_examples: 300
download_size: 273214540
dataset_size: 279510653.0
- config_name: wild
features:
- name: image
dtype: image
- name: additional_info
dtype: string
- name: assets
sequence: string
- name: category
dtype: string
- name: uuid
dtype: string
- name: difficulty
dtype: string
splits:
- name: validation
num_bytes: 335841.0
num_examples: 2
download_size: 333134
dataset_size: 335841.0
- config_name: wild_legacy
features:
- name: structure
dtype: string
- name: image
dtype: image
- name: url
dtype: string
- name: instance_name
dtype: string
- name: date_scrapped
dtype: string
- name: uuid
dtype: string
- name: category
dtype: string
- name: additional_info
dtype: string
- name: assets
sequence: string
- name: difficulty
dtype: string
splits:
- name: validation
num_bytes: 99236852.0
num_examples: 50
download_size: 99142716
dataset_size: 99236852.0
configs:
- config_name: css
data_files:
- split: validation
path: css/validation-*
- config_name: html
data_files:
- split: validation
path: html/validation-*
- config_name: javascript
data_files:
- split: validation
path: javascript/validation-*
- config_name: wild
data_files:
- split: validation
path: wild/validation-*
- config_name: wild_legacy
data_files:
- split: validation
path: wild_legacy/validation-*
---
# Image2Struct - Webpage
[Paper](TODO) | [Website](https://crfm.stanford.edu/helm/image2structure/latest/) | Datasets ([Webpages](https://huggingface.co/datasets/stanford-crfm/i2s-webpage), [Latex](https://huggingface.co/datasets/stanford-crfm/i2s-latex), [Music sheets](https://huggingface.co/datasets/stanford-crfm/i2s-musicsheet)) | [Leaderboard](https://crfm.stanford.edu/helm/image2structure/latest/#/leaderboard) | [HELM repo](https://github.com/stanford-crfm/helm) | [Image2Struct repo](https://github.com/stanford-crfm/image2structure)
**License:** [Apache License](http://www.apache.org/licenses/) Version 2.0, January 2004
## Dataset description
Image2struct is a benchmark for evaluating vision-language models in practical tasks of extracting structured information from images.
This subdataset focuses on webpages. The model is given an image of the expected output with the prompt:
```
Please generate the source code to generate a webpage that looks like this image as much as feasibly possible.
You should output a json object associating each file name with its content.
Here is a simple example of the expected structure (that does not correspond to the image).
In this example, 3 files are created: index.html, style.css and script.js.
[
{
"filename": "index.html",
"content": "<!DOCTYPE html>\\n<html>\\n<head>\\n<title>Title of the document</title>\\n</head>\\n<body>\\n\\n<p>Content of the document......</p>\\n\\n</body>\\n</html>"
},
{
"filename": "style.css",
"content": "body {\\n background-color: lightblue;\\n}\\nh1 {\\n color: white;\\n text-align: center;\\n}"
},
{
"filename": "script.js",
"content": "document.getElementById(\\"demo\\").innerHTML = \\"Hello JavaScript!\\";"
}
]
You do not have to create files with the same names. Create as many files as you need, you can even use directories if necessary,
they will be created for you automatically. Try to write some realistic code keeping in mind that it should
look like the image as much as feasibly possible.
```
The dataset is divided into 4 categories. There are 3 categories that are collected automatically using the [Image2Struct repo](https://github.com/stanford-crfm/image2structure).
The webpages were collected on GitHub pages (.github.io) and are split into 3 groups that are determined by the main language of the repository:
* html
* css
* javascript
The last category: **wild**, was collected by taking screenshots of popular websites. The full list is available at the end of this document.
## Uses
To load the subset `html` of the dataset to be sent to the model under evaluation in Python:
```python
import datasets
datasets.load_dataset("stanford-crfm/i2s-webpage", "html", split="validation")
```
To evaluate a model on Image2Webpage (html) using [HELM](https://github.com/stanford-crfm/helm/), run the following command-line commands:
```sh
pip install crfm-helm
helm-run --run-entries image2webpage:subset=html,model=vlm --models-to-run google/gemini-pro-vision --suite my-suite-i2s --max-eval-instances 10
```
You can also run the evaluation for only a specific `subset` and `difficulty`:
```sh
helm-run --run-entries image2webpage:subset=html,difficulty=hard,model=vlm --models-to-run google/gemini-pro-vision --suite my-suite-i2s --max-eval-instances 10
```
For more information on running Image2Struct using [HELM](https://github.com/stanford-crfm/helm/), refer to the [HELM documentation](https://crfm-helm.readthedocs.io/) and the article on [reproducing leaderboards](https://crfm-helm.readthedocs.io/en/latest/reproducing_leaderboards/).
## Citation
**BibTeX:**
```tex
@misc{roberts2024image2struct,
title={Image2Struct: A Benchmark for Evaluating Vision-Language Models in Extracting Structured Information from Images},
author={Josselin Somerville Roberts and Tony Lee and Chi Heem Wong and Michihiro Yasunaga and Yifan Mai and Percy Liang},
year={2024},
eprint={TBD},
archivePrefix={arXiv},
primaryClass={TBD}
}
```
## List of websites used for wild subset
```
[
"https://www.nytimes.com",
"https://www.bbc.com",
"https://www.wikipedia.org",
"https://www.github.com",
"https://www.reddit.com",
"https://www.twitter.com",
"https://www.facebook.com",
"https://www.instagram.com",
"https://www.linkedin.com",
"https://www.youtube.com",
"https://www.amazon.com",
"https://www.apple.com",
"https://www.microsoft.com",
"https://www.ibm.com",
"https://www.google.com",
"https://www.yahoo.com",
"https://www.bing.com",
"https://www.duckduckgo.com",
"https://www.netflix.com",
"https://www.hulu.com",
"https://www.disneyplus.com",
"https://www.imdb.com",
"https://www.metacritic.com",
"https://www.rottentomatoes.com",
"https://www.nationalgeographic.com",
"https://www.nasa.gov",
"https://www.cnn.com",
"https://www.foxnews.com",
"https://www.bloomberg.com",
"https://www.cnbc.com",
"https://www.forbes.com",
"https://www.businessinsider.com",
"https://www.techcrunch.com",
"https://www.engadget.com",
"https://www.arstechnica.com",
"https://www.lifehacker.com",
"https://www.theguardian.com",
"https://www.independent.co.uk",
"https://www.buzzfeed.com",
"https://www.vox.com",
"https://www.theverge.com",
"https://www.wired.com",
"https://www.polygon.com",
"https://www.gamespot.com",
"https://www.kotaku.com",
"https://www.twitch.tv",
"https://www.netflix.com",
"https://www.hbo.com",
"https://www.showtime.com",
"https://www.cbs.com",
"https://www.abc.com",
"https://www.nbc.com",
"https://www.criterion.com",
"https://www.imdb.com",
"https://www.rottentomatoes.com",
"https://www.metacritic.com",
"https://www.pitchfork.com",
"https://www.billboard.com",
"https://www.rollingstone.com",
"https://www.npr.org",
"https://www.bbc.co.uk",
"https://www.thetimes.co.uk",
"https://www.telegraph.co.uk",
"https://www.guardian.co.uk",
"https://www.independent.co.uk",
"https://www.economist.com",
"https://www.ft.com",
"https://www.wsj.com",
"https://www.nature.com",
"https://www.scientificamerican.com",
"https://www.newscientist.com",
"https://www.sciencedaily.com",
"https://www.space.com",
"https://www.livescience.com",
"https://www.popsci.com",
"https://www.healthline.com",
"https://www.webmd.com",
"https://www.mayoclinic.org",
"https://www.nih.gov",
"https://www.cdc.gov",
"https://www.who.int",
"https://www.un.org",
"https://www.nationalgeographic.com",
"https://www.worldreallife.org",
"https://www.greenpeace.org",
"https://www.nrdc.org",
"https://www.sierraclub.org",
"https://www.amnesty.org",
"https://www.hrw.org",
"https://www.icrc.org",
"https://www.redcross.org",
"https://www.unicef.org",
"https://www.savethechildren.org",
"https://www.doctorswithoutborders.org",
"https://www.wikimedia.org",
"https://www.archive.org",
"https://www.opendemocracy.net",
"https://www.projectgutenberg.org",
"https://www.khanacademy.org",
"https://www.codecademy.com",
]
```