README.md

---
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",
]
```