1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62# Accessibility Image Validator
A lightweight, accessible tool for reviewing image/alt text pairs in the
benchmarks-ai-alt corpus. Runs as a static site on GitHub Pages or any
local HTTP server.
## How it works
1. Start a session.
2. For each image, you see the image and the alt text under review.
3. Click Accept or Reject.
4. Provide a written reason (required for both).
5. End the session at any time; you are not required to finish all items.
6. Download results as JSON and submit them as a GitHub issue.
## Running locally
From this directory:
```
python3 -m http.server 8000
```
Then open http://localhost:8000 in a browser.
## Accessibility
- Skip link for keyboard users
- Semantic HTML with proper landmarks, headings, labels, and fieldsets
- ARIA live regions announce progress changes to screen readers
- Progress bar uses role="progressbar" with aria-valuenow
- All interactive elements reachable and operable by keyboard
- Focus management: textarea receives focus when reason panel opens
- Color contrast meets WCAG AA (4.5:1 minimum for text)
- Respects prefers-reduced-motion
- No information conveyed by color alone
## File structure
- index.html: page markup
- css/style.css: styles
- js/main.js: application logic
- functional-images.jsonl: corpus data (copy from corpus-construction)
## Submitting results
When you end a session, use "Download Results (JSON)" to save your file.
Then click "Submit as GitHub Issue" to open a pre-filled issue template.
Paste or attach the JSON in the issue body.
## Data format
The downloaded JSON contains:
- session_id: unique identifier for the session
- timestamp: when the session ended
- corpus_size: total items in the corpus
- reviewed: how many items you evaluated
- accepted: count of accepted items
- rejected: count of rejected items
- results: array of individual evaluations with id, status, reason,
and timestamp