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image
string
platform
string
small_touch_targets
int64
low_contrast
int64
action_overload
int64
navigation_overload
int64
form_friction
int64
content_density
int64
responsive_risk
int64
modal_overuse
int64
deep_scrolling
int64
weak_hierarchy
int64
interaction_overload
int64
mobile_web_mismatch
int64
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End of preview. Expand in Data Studio

YAML Metadata Warning:The task_categories "multi-label-classification" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

UI Design Audit Screenshot Benchmark v2.1

A reproducible synthetic benchmark of 3,000 mobile and web UI screenshots labeled across 12 design-risk categories.

Splits

  • train: 2,400
  • validation: 300
  • test: 300

Labels

  1. small_touch_targets
  2. low_contrast
  3. action_overload
  4. navigation_overload
  5. form_friction
  6. content_density
  7. responsive_risk
  8. modal_overuse
  9. deep_scrolling
  10. weak_hierarchy
  11. interaction_overload
  12. mobile_web_mismatch

Data creation

Every screenshot is generated locally from a deterministic procedural UI renderer. No third-party or personal screenshots are included. The rendering seed and split layout are reproducible from the scripts in the bundle.

Intended use

Benchmarking screenshot-based UI/UX issue detection, model prototyping, and educational experiments.

Limitations and bias

The labels are synthetic rules created for benchmarking. They are not human UX judgments and should not be treated as representative of any user population or as evidence of accessibility compliance.

Schema

Each JSONL row contains image, platform, and one binary field per label.

Related design references

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