Datasets:

stanford-crfm
/

image2struct-webpage-v1

structure stringlengths 4.24k 176M	text stringlengths 0 316k	download_url stringlengths 44 93	instance_name stringlengths 11 60	date stringclasses 60 values	additional_info stringlengths 5.55k 7.99k	date_scrapped stringlengths 28 28	file_filters stringlengths 1.26k 8.95k	compilation_info stringlengths 18 344k	rendering_filters stringlengths 154 186	assets sequencelengths 0 0	category stringclasses 1 value	uuid stringlengths 38 38	length stringlengths 2 4	difficulty stringclasses 3 values
"H4sICPlO9GUC/zMzMWI1YzI4LTFkNTAtNDc3Yy1iNWViLTMyZTQ1OThkYTZjNi50YXIA7Ht3QFPLum/oEAEBAZFmQHoJhI6ACkj(...TRUNCATED)	Mikael R. Photography ![](main.jpg)	"https://github.com/mklrr/mklrr.github.io.git"	"mklrr_mklrr"	"2024-01-22"	"{\n \"id\": 746874086,\n \"node_id\": \"R_kgDOLIRk5g\",\n \"name\": \"mklrr.github.io\",\n(...TRUNCATED)	"2024-03-15T06:36:38.016508"	"{\n \"RepoFilter\": {\n \"only_contains_readme\": false,\n \"num_files\": {\n (...TRUNCATED)	"{\n \"html\": \"<html><head>\\n <meta charset=\\\"UTF-8\\\">\\n <meta name=\\\"viewport\\\(...TRUNCATED)	"{\n \"NonTrivialRenderingFilter\": {\n \"white_pixels_ratio\": 48.307243441358025,\n (...TRUNCATED)	[]	"css"	"331b5c28-1d50-477c-b5eb-32e4598da6c6"	117	easy
"H4sICKxL9GUC/zE1ZTFkMmIxLWQyZWUtNDE5Zi1iNDAyLTUzYTU4ZmNiOWQ5MS50YXIA7D0HQFNX12FDQGSJiICPAAJKwssOS9m(...TRUNCATED)		"https://github.com/chemo890/chemo890.github.io.git"	"chemo890_chemo890"	"2024-01-25"	"{\n \"id\": 748377719,\n \"node_id\": \"R_kgDOLJtWdw\",\n \"name\": \"chemo890.github.io\"(...TRUNCATED)	"2024-03-15T06:22:34.841823"	"{\n \"RepoFilter\": {\n \"only_contains_readme\": false,\n \"num_files\": {\n (...TRUNCATED)	"{\n \"html\": \"<html lang=\\\"en\\\"><head>\\n <meta charset=\\\"UTF-8\\\">\\n <meta http(...TRUNCATED)	"{\n \"NonTrivialRenderingFilter\": {\n \"white_pixels_ratio\": 0.0,\n \"hash\": \"(...TRUNCATED)	[]	"css"	"15e1d2b1-d2ee-419f-b402-53a58fcb9d91"	1648	hard
"H4sICHdf9GUC/2ExNGQzMzczLWE4MDItNGUxMi05ZmFlLTk5OTk5NTU2YzMwMC50YXIA7Vxrc9u4uc5nzuQ/YJU5M04rUXfJVuy(...TRUNCATED)	"## Staszku... kochasz mnie jeszcze O///O?\n![gif](https://media.giphy.com/media/vQ8ubcro4CJV6nhIwl/(...TRUNCATED)	"https://github.com/Kimiszek/kretyn.github.io.git"	"Kimiszek_kretyn"	"2024-01-05"	"{\n \"id\": 739561091,\n \"node_id\": \"R_kgDOLBTOgw\",\n \"name\": \"kretyn.github.io\",\(...TRUNCATED)	"2024-03-15T07:47:06.411185"	"{\n \"RepoFilter\": {\n \"only_contains_readme\": false,\n \"num_files\": {\n (...TRUNCATED)	"{\n \"html\": \"<html lang=\\\"en\\\"><head>\\n <meta charset=\\\"UTF-8\\\">\\n <meta name(...TRUNCATED)	"{\n \"NonTrivialRenderingFilter\": {\n \"white_pixels_ratio\": 2.7424768518518516,\n (...TRUNCATED)	[]	"css"	"a14d3373-a802-4e12-9fae-99999556c300"	100	easy
"H4sICBxM9GUC/2ZjNThjZDY5LTYwZjQtNDUwYy1hZTVmLTJjZDk2Nzc5NDk1Yy50YXIA7Txrcxs3kv48vwKh90pKihy+KZkWvRf(...TRUNCATED)	"# Welcome to the Magic 8 Ball Robot Machine\nEnter your name and a question, then press the answer (...TRUNCATED)	"https://github.com/tshams-coder/tshams.github.io.git"	"tshams-coder_tshams"	"2024-01-23"	"{\n \"id\": 747192739,\n \"node_id\": \"R_kgDOLIlBow\",\n \"name\": \"tshams.github.io\",\(...TRUNCATED)	"2024-03-15T06:24:29.343387"	"{\n \"RepoFilter\": {\n \"only_contains_readme\": false,\n \"num_files\": {\n (...TRUNCATED)	"{\n \"html\": \"<html lang=\\\"en\\\"><head>\\n <meta charset=\\\"UTF-8\\\">\\n <meta name(...TRUNCATED)	"{\n \"NonTrivialRenderingFilter\": {\n \"white_pixels_ratio\": 89.33574459876543,\n (...TRUNCATED)	[]	"css"	"fc58cd69-60f4-450c-ae5f-2cd96779495c"	189	easy
"H4sICJU39GUC/zMxN2M0MGQ0LTljZjctNDQ0Yi1iZWNkLTc0MmQ4ZjIwYmNiYy50YXIA7D0HQBNJ14CgGFHBcqKCrkEEhIT0BBC(...TRUNCATED)	H A I G U Y S Iseng Iseng dikit ga ngaruh .... Klik disini ga meledak kok 😁	"https://github.com/Franslesino/Franslesino.github.io.git"	"Franslesino_Franslesino"	"2024-02-10"	"{\n \"id\": 755558699,\n \"node_id\": \"R_kgDOLQjpKw\",\n \"name\": \"Franslesino.github.i(...TRUNCATED)	"2024-03-15T04:56:49.964813"	"{\n \"RepoFilter\": {\n \"only_contains_readme\": false,\n \"num_files\": {\n (...TRUNCATED)	"{\n \"html\": \"<html lang=\\\"en\\\"><head>\\n <meta charset=\\\"UTF-8\\\">\\n <meta http(...TRUNCATED)	"{\n \"NonTrivialRenderingFilter\": {\n \"white_pixels_ratio\": 0.3195891203703704,\n (...TRUNCATED)	[]	"css"	"317c40d4-9cf7-444b-becd-742d8f20bcbc"	1740	hard
"H4sICBhB9GUC/zE0MjJkY2NjLTk2ZGEtNGYyMC1hMWU2LTc3Y2EyZmNiNzFjMy50YXIA7LsFUJvf1y4arARN8AJFAkVa3D24leL(...TRUNCATED)	"## LOGO\n### Home\n### Course\n### Blog\n### Gallary\n### Contact Us\nSignin __\n# Lorem ipsum dolo(...TRUNCATED)	"https://github.com/pjptrajit/FrontPage.github.io.git"	"pjptrajit_FrontPage"	"2024-02-02"	"{\n \"id\": 752011021,\n \"node_id\": \"R_kgDOLNLHDQ\",\n \"name\": \"FrontPage.github.io\(...TRUNCATED)	"2024-03-15T05:37:25.175341"	"{\n \"RepoFilter\": {\n \"only_contains_readme\": false,\n \"num_files\": {\n (...TRUNCATED)	"{\n \"html\": \"<html lang=\\\"en\\\"><head>\\n <meta charset=\\\"UTF-8\\\">\\n <meta name(...TRUNCATED)	"{\n \"NonTrivialRenderingFilter\": {\n \"white_pixels_ratio\": 82.54349922839506,\n (...TRUNCATED)	[]	"css"	"1422dccc-96da-4f20-a1e6-77ca2fcb71c3"	174	easy
"H4sICCQc9GUC/zM0ZTY1ZTc5LTUyYTYtNGE0OC04ZmYyLTQ3MjRlNDc2NTZmNi50YXIA7D0HQBNJ14CgGFHBcqKCrkEEhIT0BBC(...TRUNCATED)	H E L L O L I L O V E I Have Something for You Click Here	"https://github.com/akassakaaa/forlilove.github.io.git"	"akassakaaa_forlilove"	"2024-02-27"	"{\n \"id\": 764350425,\n \"node_id\": \"R_kgDOLY8P2Q\",\n \"name\": \"forlilove.github.io\(...TRUNCATED)	"2024-03-15T02:59:40.514024"	"{\n \"RepoFilter\": {\n \"only_contains_readme\": false,\n \"num_files\": {\n (...TRUNCATED)	"{\n \"html\": \"<html lang=\\\"en\\\"><head>\\n <meta charset=\\\"UTF-8\\\">\\n <meta http(...TRUNCATED)	"{\n \"NonTrivialRenderingFilter\": {\n \"white_pixels_ratio\": 0.0,\n \"hash\": \"(...TRUNCATED)	[]	"css"	"34e65e79-52a6-4a48-8ff2-4724e47656f6"	1742	hard
"H4sICONG9GUC/zlhZjhiODE1LTM5ODUtNDY1MC1hNTQ0LTU0NDY1ZGRjMWE2My50YXIA7X0JXExt+zCyZGxJJMJpJEUzzdRMNW2(...TRUNCATED)	"MOVIE SITE\n![image](https://images.unsplash.com/photo-1558981359-219d6364c9c8?ixlib=rb-1.2.1&ixid=(...TRUNCATED)	"https://github.com/henry-kimani/henry-kimani.github.io.git"	"henry-kimani_henry-kimani"	"2024-01-28"	"{\n \"id\": 749491721,\n \"node_id\": \"R_kgDOLKxWCQ\",\n \"name\": \"henry-kimani.github.(...TRUNCATED)	"2024-03-15T06:02:09.824330"	"{\n \"RepoFilter\": {\n \"only_contains_readme\": false,\n \"num_files\": {\n (...TRUNCATED)	"{\n \"html\": \"<html lang=\\\"en\\\"><head>\\n <meta charset=\\\"UTF-8\\\">\\n <meta name(...TRUNCATED)	"{\n \"NonTrivialRenderingFilter\": {\n \"white_pixels_ratio\": 54.55714699074075,\n (...TRUNCATED)	[]	"css"	"9af8b815-3985-4650-a544-54465ddc1a63"	161	easy
"H4sICDY69GUC/2FjNmYzZDI3LTRlZTgtNDY4ZC1iNTg4LWY3Y2FkNGExMDA3ZC50YXIA7Txrc9s4kvnMqvwHDLNXkXckmnrbsuW(...TRUNCATED)	Start ## Score: 0 ## Hit: ## Timer: 0	"https://github.com/upasanagithubrit/upasana.github.io-bubblegame.git"	"upasanagithubrit_upasana-bubblegame"	"2024-02-07"	"{\n \"id\": 754267107,\n \"node_id\": \"R_kgDOLPUz4w\",\n \"name\": \"upasana.github.io-bu(...TRUNCATED)	"2024-03-15T05:08:04.687849"	"{\n \"RepoFilter\": {\n \"only_contains_readme\": false,\n \"num_files\": {\n (...TRUNCATED)	"{\n \"html\": \"<html lang=\\\"en\\\"><head>\\n <meta charset=\\\"UTF-8\\\">\\n <meta name(...TRUNCATED)	"{\n \"NonTrivialRenderingFilter\": {\n \"white_pixels_ratio\": 0.20461998456790123,\n (...TRUNCATED)	[]	"css"	"ac6f3d27-4ee8-468d-b588-f7cad4a1007d"	196	easy
"H4sICMVh9GUC/zEwOGQ5MTg5LWNhNTUtNDk2OC04MGYzLWYzZjdjZTFjZWJkNC50YXIA7Txrc9tGkv7Mqv0PE7pSkW5JEABfEiP(...TRUNCATED)	"# LANGUAGES >> TIME IN 2\n07:57:00 AM\nFriday, 15 March 2024\nESPAÑOL\n![linkedin](https://img.ico(...TRUNCATED)	"https://github.com/Noethdz/time.github.io.git"	"Noethdz_time"	"2024-01-02"	"{\n \"id\": 738294376,\n \"node_id\": \"R_kgDOLAF6aA\",\n \"name\": \"time.github.io\",\n (...TRUNCATED)	"2024-03-15T07:56:56.052875"	"{\n \"RepoFilter\": {\n \"only_contains_readme\": false,\n \"num_files\": {\n (...TRUNCATED)	"{\n \"html\": \"<html lang=\\\"en\\\"><head>\\n <meta charset=\\\"UTF-8\\\">\\n <meta name(...TRUNCATED)	"{\n \"NonTrivialRenderingFilter\": {\n \"white_pixels_ratio\": 0.11771797839506173,\n (...TRUNCATED)	[]	"css"	"108d9189-ca55-4968-80f3-f3f7ce1cebd4"	314	medium

End of preview. Expand in Dataset Viewer.

Image2Struct - Webpage

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",
]

Downloads last month: 125

Edit dataset card

Size of downloaded dataset files:

1.44 GB

Size of the auto-converted Parquet files:

1.44 GB

Number of rows:

952