metadata
license: cc-by-4.0
task_categories:
- visual-question-answering
- image-to-text
language:
- en
tags:
- patents
- design-patents
- technical-drawings
- benchmarks
- vlm-evaluation
pretty_name: TechnicalWireframeGym
size_categories:
- 1M<n<10M
TechnicalWireframeGym
Benchmark dataset for evaluating VLMs on US design patent figure conventions.
GitHub: hamidahoderinwale/TechnicalWireframeGym
Built from IMPACT (3.6M design patent figures, 2007–2022) enriched with PatentsView drawing descriptions.
Contents
| Path | Description |
|---|---|
data/enriched_{year}.parquet |
16 years of figures with drawing descriptions (2007–2022) |
data/eval_sample.parquet |
800-patent evaluation split |
embeddings/{year}_vitl14.parquet |
CLIP ViT-L/14 embeddings, all 16 years (~2.5M figures) |
results/*.json |
Eval results per task and condition |
status/embeddings.json |
Provenance: completion records per year |
Enriched parquet schema
| Field | Type | Description |
|---|---|---|
patent_id |
string | USPTO design patent number |
patent_title |
string | Patent title |
figure_number |
int | Figure index (0-based) |
n_figures_in_patent |
int | Total figures in patent |
drawing_description |
string | Drawing description from PatentsView |
locarno_class |
string | Locarno classification |
patent_date |
string | Grant date |
year |
int | Grant year |
Benchmark tasks
| Task | Input | Metric | Gemma 4 31B |
|---|---|---|---|
| T1 Viewpoint ID | Vision / text FIM / vision+text | Accuracy | A:23% C:65% D:22% |
| T2 Figure retrieval | CLIP embeddings | R@1 | 34.2% |
| T3 Intent elicitation | Text | MC acc / F1 | 100% / 0.26 |
| T4 Agent-agent | Structured schema | Accuracy | 44% |
Citation
@dataset{technicalwireframegym2026,
title={TechnicalWireframeGym: Evaluating VLMs on Technical Drawing Conventions},
author={Oderinwale, Hamidah},
year={2026},
url={https://huggingface.co/datasets/midah/patent-wireframes}
}