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Challenge

Smart Nation Public Service Accessibility & Usability Evaluator

Government web products must adhere to stringent accessibility standards for inclusive citizen access. Build an automated accessibility scoring pipeline that evaluates HTML/DOM snapshots against WCAG standards and outputs prioritized UI remediation steps.

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Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Build an automated WCAG accessibility auditing workflow for digital government services.

Delivery guide

How work is evaluated

Evaluation

Evaluates accessibility violation detection recall on public service UI DOM snippets.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
2 scoring checks
Binary
2 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

detects_all_violations

Verifies that both DOM defects are found

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

remediation_accuracy

Percentage of generated code fixes that pass WCAG • target: 100 • range: 0-100

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Parse HTML DOM structures for WCAG 2.1 AA compliance defects

  • Automate contrast, ARIA role, and screen reader attribute checking

  • Generate prioritized developer bug reports with code fix snippets

Resources and assets

Reference links and supporting material

Dataset notes

Synthetic HTML snippets representing various Singapore digital service forms.

Challenge setup

Evaluates accessibility violation detection recall on public service UI DOM snippets.

Challenge input

HTML string

axe-core

Industry standard automated accessibility rules

Evaluated output

JSON containing total_violations, violation_types, remediation_code

Evaluation checks
  • Verifies that both DOM defects are found
  • Percentage of generated code fixes that pass WCAG • target: 100 • range: 0-100
Configured evaluation evidence
  • Benchmark: A11yDOM-Bench
  • Remediation Accuracy target: 100
  • 1 public reference case
Configured runtime
  • JavaScript execution harness
  • javascript sandbox (unavailable on Versalist)

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

View technical recipe

Configured tools

Action Space
  • Zed · Required
  • Mindset AI · Optional
  • Zinley · Optional

Evaluation contract

  • detects_all_violations · Weight 1
  • remediation_accuracy · Weight 1

Metrics

  • remediation_accuracy · Target 100

Benchmarks

  • A11yDOM-Bench
  • general

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: HTML string

    Output: JSON containing total_violations, violation_types, remediation_code

    Execution harness: JavaScript

Evaluation tools

  • axe-core · Accessibility Engine

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Smart Nation Public Service Accessibility & Usability Evaluator