README.md

metadata

language:
  - en
license: cc-by-sa-4.0
task_categories:
  - image-to-text
  - text-to-image
  - image-classification
  - zero-shot-image-classification
tags:
  - patent
  - design-patent
  - technical-drawing
  - wireframe
  - multimodal
  - retrieval
  - reconstruction
  - USPTO
dataset_info:
  features:
    - name: figure_id
      dtype: string
    - name: patent_id
      dtype: string
    - name: image
      dtype: image
    - name: patent_title
      dtype: string
    - name: caption
      dtype: string
    - name: drawing_description
      dtype: string
    - name: detailed_description
      dtype: string
    - name: brief_summary
      dtype: string
    - name: claims
      dtype: string
    - name: viewpoint
      dtype: string
    - name: figure_number
      dtype: int32
    - name: n_figures_in_patent
      dtype: int32
    - name: sibling_figure_ids
      sequence: string
    - name: reference_numerals
      sequence:
        struct:
          - name: numeral
            dtype: string
          - name: label
            dtype: string
    - name: locarno_class
      dtype: string
    - name: patent_date
      dtype: string
    - name: year
      dtype: int32
  splits:
    - name: train
      num_examples: 500

Patent Wireframes

Structured patent figure dataset for multimodal understanding — generation, reconstruction, retrieval, and cross-modal association.

Overview

Each record is a single patent figure paired with:

• Full patent text (drawing description, detailed description, brief summary, claims)
• IMPACT-generated figure caption
• Extracted reference numeral mappings (numeral → component label)
• Sibling figure links (other views of the same object)
• Classification metadata (Locarno codes, dates)

Sources

• Images + captions: IMPACT (CC-BY-SA-4.0)
• Patent text: PatentsView (CC-BY-4.0)
• Scope: US design patents, initially 2022

Schema

Field	Type	Description
figure_id	string	Unique: {patent_id}_{figure_number}
patent_id	string	USPTO design patent number
image	image	Figure raster
patent_title	string	Patent title
caption	string	IMPACT-generated caption
drawing_description	string	Drawing description from patent text
detailed_description	string	Full detailed description
brief_summary	string	Brief summary
claims	string	Patent claims
viewpoint	string	front / side / perspective / etc.
figure_number	int32	Figure index within patent
n_figures_in_patent	int32	Total figures in patent
sibling_figure_ids	list[string]	Other figure IDs from same patent
reference_numerals	list[{numeral, label}]	Extracted component mappings
locarno_class	string	Locarno classification code
patent_date	string	Grant date
year	int32	Grant year

Intended uses

• Reconstruction: predict figure from text description (or vice versa)
• Retrieval: text-to-figure, figure-to-figure, component-to-figure
• Generation: produce patent figures from structured descriptions
• Multi-view reasoning: predict unseen views given other views
• Component understanding: reference numeral grounding

Citation

If you use this dataset, please cite:

@dataset{patent_wireframes,
  title={Patent Wireframes: A Structured Dataset for Multimodal Patent Figure Understanding},
  year={2026},
  url={https://huggingface.co/datasets/midah/patent-wireframes},
}

Built on IMPACT (NeurIPS 2024) and PatentsView.