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metadata 
dataset_info:
  features:
    - name: svg_mobile
      dtype: string
    - name: svg_tablet
      dtype: string
    - name: svg_desktop
      dtype: string
    - name: html
      dtype: string
    - name: url
      dtype: string
    - name: msps_mobile
      dtype: float64
    - name: msps_tablet
      dtype: float64
    - name: msps_desktop
      dtype: float64
    - name: is_augmented
      dtype: bool
    - name: has_media_queries
      dtype: bool
    - name: page_sizes_desktop_width
      dtype: int64
    - name: page_sizes_desktop_height
      dtype: int64
    - name: page_sizes_tablet_width
      dtype: int64
    - name: page_sizes_tablet_height
      dtype: int64
    - name: page_sizes_mobile_width
      dtype: int64
    - name: page_sizes_mobile_height
      dtype: int64
    - name: svg_lengths_desktop
      dtype: int64
    - name: svg_lengths_tablet
      dtype: int64
    - name: svg_lengths_mobile
      dtype: int64
    - name: page_data_size
      dtype: int64
  splits:
    - name: train
      num_bytes: 196175064606
      num_examples: 353908
  download_size: 31683809119
  dataset_size: 196175064606
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: apache-2.0

Reverse Browser Large Dataset

This dataset contains paired HTML/CSS markup and vector-based SVG representations of over 350,000 real-world web pages, rendered at three common screen sizes (mobile, tablet, desktop). It was collected from the public internet using a custom browser rendering pipeline. The dataset is designed for training and evaluating models that translate visual web designs to semantic, responsive markup.

Contents

Each entry in the dataset includes:

  • HTML: A cleaned and compressed version of the page’s markup, stripped of <script>, <iframe>, <video>, and other non-visual elements, only retaining <body> outerHTML. CSS has been inlined. Images are not saved.
    • html: The preprocessed HTML/CSS source
  • SVGs: Three SVG representations of the page for the following viewport sizes:
    • svg_mobile (393×852)
    • svg_tablet (834×1210)
    • svg_desktop (1440×900)
  • Metadata:
    • url: Original webpage URL
    • msps_mobile, msps_tablet, msps_desktop: Multi-Scale Pixel Similarity (MSPS) score for each resolution
    • page_sizes_*: Full-length page dimensions used during rendering
    • svg_lengths_*: File sizes of SVGs (in bytes)
    • page_data_size: Total size of HTML + CSSs (in bytes)
    • is_augmented: Whether the entry used data augmentation (e.g. removing or permitting elements, changing properties)
    • has_media_queries: Whether the original markup contained responsive CSS

Filtering Criteria

  • Pages with blank screenshots (i.e., solid-color pages) were excluded.
  • Entries where the mobile SVG’s MSPS score was lower than 0.99 were filtered out, ensuring near pixel-perfect visual fidelity between the SVG and the original screenshot.

MSPS Metric

MSPS (Multi-Scale Pixel Similarity) is a custom perceptual similarity score that compares full-page screenshots and rendered SVGs. It progressively downsamples the images and computes MSE at each scale. The final MSPS score is 1 - avg(MSE), giving higher values to more similar images. It’s stricter than common perceptual metrics (e.g., LPIPS or SSIM) and suited for filtering high-fidelity SVG-markup pairs.

Use Cases

This dataset supports research in:

  • Image-to-Markup generation
  • Responsive layout synthesis
  • Visual reasoning from vector input
  • Automation in web development and UI design

This dataset was produced with https://github.com/tcz/rb-crawler

https://arxiv.org/abs/2509.05394