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![](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 |
||
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"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 |
|
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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 |
|
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|
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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 |
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## 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 |
|
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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",
]
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