Datasets:

stanford-crfm
/

image2struct-webpage-v1

@@ -120,34 +120,6 @@ dataset_info:
     num_examples: 300
   download_size: 273214540
   dataset_size: 279510653.0
-- config_name: real
-  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: 99236502.0
-    num_examples: 50
-  download_size: 99146849
-  dataset_size: 99236502.0
 - config_name: wild
   features:
   - name: structure
@@ -189,12 +161,196 @@ configs:
   data_files:
   - split: validation
     path: javascript/validation-*
-- config_name: real
-  data_files:
-  - split: validation
-    path: real/validation-*
 - config_name: wild
   data_files:
   - split: validation
     path: wild/validation-*
 ---

     num_examples: 300
   download_size: 273214540
   dataset_size: 279510653.0
 - config_name: wild
   features:
   - name: structure
   data_files:
   - split: validation
     path: javascript/validation-*
 - config_name: wild
   data_files:
   - split: validation
     path: wild/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 (equation) 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",
+]
+```