Datasets:

HuggingFaceM4
/

WebSight

@@ -3,21 +3,9 @@ language:
 - en
 license: cc-by-4.0
 size_categories:
-- 100K<n<1M
 pretty_name: WebSight
 dataset_info:
-- config_name: v0.1
-  features:
-  - name: image
-    dtype: image
-  - name: text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 35386660486.65
-    num_examples: 822987
-  download_size: 31394170440
-  dataset_size: 35386660486.65
 - config_name: v0.2
   features:
   - name: image
@@ -32,30 +20,54 @@ dataset_info:
     num_examples: 1922671
   download_size: 144861710051
   dataset_size: 368943620718.125
-configs:
 - config_name: v0.1
-  data_files:
-  - split: train
-    path: data/train-*
 - config_name: v0.2
   data_files:
   - split: train
     path: v0.2/train-*
 tags:
 - code
 - synthetic
 ---
 # Dataset Card for WebSight
-## Dataset Version
-Alpha version, v0.1.
 ## Dataset Description
-This dataset consists of 823,000 HTML/CSS codes representing synthetically generated English websites, each accompanied by a corresponding screenshot (rendered with [Playwright](https://github.com/microsoft/playwright)).
-This dataset serves as a valuable resource for tasks such as generating UI codes from a screenshot. Notably, it is used for the training of the forthcoming Idefics-2 model, aiming at augmenting its proficiency in generating website code based on a provided screenshot.
 ## Data Fields
@@ -94,6 +106,33 @@ When you want to display an image, don't use <img> in the HTML, always display a
 ```
 Following these steps, the HTML and CSS codes were extracted from the outputs of Deepseek-Coder and formatted into the structure `'<html>\n<style>\n{css}</style>\n{body}\n</html>'`.
 ## Terms of Use
 By using the dataset, you agree to comply with the original licenses of the source content as well as the dataset license (CC-BY-4.0). Additionally, if you use this dataset to train a Machine Learning model, you agree to disclose your use of the dataset when releasing the model or an ML application using the model.

 - en
 license: cc-by-4.0
 size_categories:
+- 1M<n<10M
 pretty_name: WebSight
 dataset_info:
 - config_name: v0.2
   features:
   - name: image
     num_examples: 1922671
   download_size: 144861710051
   dataset_size: 368943620718.125
 - config_name: v0.1
+  features:
+  - name: image
+    dtype: image
+  - name: text
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 35386660486.65
+    num_examples: 822987
+  download_size: 31394170440
+  dataset_size: 35386660486.65
+configs:
 - config_name: v0.2
   data_files:
   - split: train
     path: v0.2/train-*
+- config_name: v0.1
+  data_files:
+  - split: train
+    path: data/train-*
 tags:
 - code
 - synthetic
 ---
 # Dataset Card for WebSight
 ## Dataset Description
+WebSight is a large synthetic dataset containing HTML/CSS codes representing synthetically generated English websites, each accompanied by a corresponding screenshot.
+This dataset serves as a valuable resource for tasks such as generating UI codes from a screenshot. It is for example used to train the model [Sightseer](https://huggingface.co/HuggingFaceM4/Sightseer).
+It comes in two versions:
+ - v0.1: Websites are coded with HTML + CSS. They do not include real images.
+ - v0.2: Websites are coded with HTML + Tailwind CSS. They do include real images.
+Essentially, here are the improvements in version v0.2, compared to version v0.1:
+- Websites include real images (related to the context of the website!!)
+- Usage of Tailwind CSS instead of traditional CSS
+- Contains 2x more examples
+- Contains more tables
+- Better resolution for the screenshots
+- Presence of a column indicating the LLM-generated idea to create the websites
+<details>
+  <summary>Details for WebSight-v0.1 (HTML + CSS)</summary>
 ## Data Fields
 ```
 Following these steps, the HTML and CSS codes were extracted from the outputs of Deepseek-Coder and formatted into the structure `'<html>\n<style>\n{css}</style>\n{body}\n</html>'`.
+</details>
+<details>
+  <summary>Details for WebSight-v0.2 (HTML + Tailwind CSS)</summary>
+## Data Fields
+An example of a sample appears as follows:
+```
+{
+    'images': PIL.Image,
+    'text': '<html>\n<link href="https://cdn.jsdelivr.net/npm/tailwindcss@2.2.19/dist/tailwind.min.css" rel="stylesheet">\n{body}\n</html>',
+}
+```
+where `body` is the body of the HTML code, containing directly the Tailwind CSS code and facilitating the straightforward training of a model.
+## Data Splits
+There is only one split, `train`, that contains TO DO images and codes.
+## Dataset Creation
+TO DO.
+For now, the creation of the dataset is documented in the technical report.
+</details>
 ## Terms of Use
 By using the dataset, you agree to comply with the original licenses of the source content as well as the dataset license (CC-BY-4.0). Additionally, if you use this dataset to train a Machine Learning model, you agree to disclose your use of the dataset when releasing the model or an ML application using the model.