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metadata
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
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  - 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
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      - name: additional_info
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      - name: compilation_info
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      - name: rendering_filters
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      - name: assets
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      - name: uuid
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      - name: length
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      - name: difficulty
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  - 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
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      - name: file_filters
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      - name: compilation_info
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      - name: rendering_filters
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      - name: assets
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        dtype: string
      - name: uuid
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      - name: length
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        dtype: string
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      - name: validation
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    download_size: 273214540
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  - config_name: wild
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      - name: image
        dtype: image
      - name: additional_info
        dtype: string
      - name: assets
        sequence: string
      - name: category
        dtype: string
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        dtype: string
      - name: difficulty
        dtype: string
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  - config_name: wild_legacy
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      - name: image
        dtype: image
      - name: url
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      - name: difficulty
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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 | Website | Datasets (Webpages, Latex, Music sheets) | Leaderboard | HELM repo | Image2Struct repo

License: Apache License 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. 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:

import datasets
datasets.load_dataset("stanford-crfm/i2s-webpage", "html", split="validation")

To evaluate a model on Image2Webpage (html) using HELM, run the following command-line commands:

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:

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, refer to the HELM documentation and the article on reproducing leaderboards.

Citation

BibTeX:

@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",
]