--- license: "mit" language: - en pretty_name: "Accessibility Fix" tags: - benchmark - llm-evaluation - ai-benchmark - model-evaluation - evals - grading - accessibility - a11y - wcag - openrouter - openai - mcp - typescript - agent-benchmark task_categories: - text-generation size_categories: - n<1K configs: - config_name: default data_files: - split: test path: data/tasks.jsonl --- # Accessibility Fix Fix a broken page so keyboard, screen-reader and contrast checks pass. ## What it measures Whether a fixed HTML page really repairs injected keyboard, screen-reader, and contrast defects without deleting or hiding content. Category: `coding`. Status: `alpha`. ## How to run ```console $ npx benchmark-accessibility-fix list $ npx benchmark-accessibility-fix run --model --provider openrouter $ npx benchmark-accessibility-fix score results.json ``` `--provider mock` runs the whole benchmark offline with no keys. Real models run through OpenRouter (`OPENROUTER_API_KEY`) or any OpenAI-compatible base URL (`OPENAI_BASE_URL`, `OPENAI_API_KEY`). ## Data fields `data/tasks.jsonl` holds 40 tasks, one JSON object per line (kinds: 40 single). | field | type | |---|---| | `id` | string | | `kind` | string | | `prompt` | string | | `expected` | string | | `metadata` | object | ## Provenance # Accessibility Fix provenance This file is generated from the benchmark definition. ## Synthetic accessibility fixtures - Kind: `synthetic` - URL: https://github.com/pooriaarab/benchmark-accessibility-fix/blob/main/scripts/gen-tasks.mjs - Licence: `MIT` - Retrieved: 2026-10-16T00:00:00.000Z - How to get it: Run `npm run generate:tasks` (or `node scripts/gen-tasks.mjs --seed 20261015` after `npm run build`) from the repository root. The generator grades every reference page with the built package and re-draws until it scores 1. A hidden split uses another seed: `node scripts/gen-tasks.mjs --seed --split hidden --out `; hidden files use a11yh- ids and stay out of git and npm. - Contamination notes: Public tasks use seed 20261015. Treat them as possibly in training data; use a separately seeded hidden split for final comparisons. - Refresh: Change the seed, run the generator, and review the JSONL diff. ## Grader Deterministic static analysis of the fixed HTML: ten WCAG-cited checks score defects fixed, minus regressions, content loss, element removal, and hiding abuse. Model judging is off. ## Limitations This dataset contains only the public task split (40 tasks). Hidden evaluation splits use a private seed and are deliberately not part of this dataset. Source kinds: synthetic. These are evaluation prompts for the `benchmark-accessibility-fix` benchmark, not training data; scoring requires the package's deterministic grader. See PROVENANCE.md for contamination notes. ## Citation ```bibtex @misc{benchmark_accessibility_fix, author = {Pooria Arab}, title = {Accessibility Fix task data}, year = {2026}, url = {https://github.com/pooriaarab/benchmark-accessibility-fix} } ``` ## Links - npm: https://www.npmjs.com/package/benchmark-accessibility-fix - GitHub: https://github.com/pooriaarab/benchmark-accessibility-fix - Leaderboard: https://aibenchmarkindex.com/benchmarks/benchmark-accessibility-fix - Dataset: https://huggingface.co/datasets/pooria/benchmark-accessibility-fix