JunJiaGuo/VIS-APP-Bench

anchor_tasks_web — Dataset

A web-app generation benchmark. Each task is a multi-page UI taken from a public Figma community file. For every task we ship the textual page descriptions, the rendered mockup PNGs, the Figma node structure, the per-page click-annotations, and the distilled data-testid "anchors" that an evaluator uses to score a generated app.

The dataset is delivered in two layers:

1. Ground-truth layer — one folder per task (1_newsletter/, 2_real-estate/, ...) holding all assets for that task.
2. Input bundles — one folder per condition (c0/, c1/, c2/, c3/) holding the strict subset of files that the generation agent receives, paired with a system-prompt file (agent_system_promt_c{N}.md).

metadata.jsonl describes both layers.

---

Tasks (10)

#	Task ID	Title	Pages	Real-world analogues
1	1_newsletter	Newsletter / Blog Publication	9	Substack, Beehiiv, Medium
2	2_real-estate	Real Estate Listings	14	Zillow, Redfin, Realtor.com
3	3_job-board	Job Board	19	Indeed, LinkedIn Jobs, Glassdoor, Wellfound
4	4_forum	Forum / Q&A Site	5	Reddit, Stack Overflow, Hacker News
5	5_travel-booking	Travel / Tour Booking Site	8	Booking.com, Airbnb experiences, Expedia
6	6_chat	Team Chat App	10	Slack, Microsoft Teams, Discord
7	7_cloud-storage	Cloud File Storage (with Admin Panel)	33	Google Drive, Dropbox, OneDrive
8	8_ecommerce	E-commerce Store	7	Amazon, Shopify storefronts, Etsy
9	9_project-management	Project Management Tool	10	Asana, Trello, Jira, Linear
10	10_streaming_music-streaming	Music Streaming Platform	13	Spotify, Apple Music, YouTube Music

(Page counts reflect the PNG files actually shipped under <task>/pages/.)

---

Layout

dataset/
├── README.md                          ← this file
├── metadata.jsonl                     ← machine-readable index (see below)
│
├── agent_system_promt_c0.md           ← system prompt: text-only ground truth
├── agent_system_promt_c1.md           ← system prompt: scaffold + PNG mockup
├── agent_system_promt_c2.md           ← system prompt: PNG mockup, no scaffold
├── agent_system_promt_c3.md           ← system prompt: PNG + Figma JSON, scaffold
├── agent_system_promt_c4.md           ← system prompt: PNG + Figma JSON, no scaffold
│
├── 1_newsletter/                      ← ground truth (canonical) for one task
│   ├── description.md                 ← page-by-page brief, with inline <testid> markers
│   ├── manifest.json                  ← page index ⇄ Figma node ⇄ PNG / structure JSON
│   ├── sitemap.md                     ← inferred navigation graph
│   ├── pages/
│   │   ├── 01_Home.png                ← rendered Figma frame
│   │   ├── 01_Home.json               ← full Figma node tree
│   │   └── 01_Home_structure-only.json← lightweight structure (hierarchy + bbox only)
│   ├── interaction/
│   │   ├── 01_Home_human_interaction_annotation.json  ← per-click annotations
│   │   ├── 01_Home_click_subtype.json                 ← aggregated click subtypes
│   │   └── 01_Home_click_subtype_report.html          ← human-readable QA report
│   ├── 1_newsletter_anchors.raw.json
│   ├── 1_newsletter_anchors.json
│   └── 1_newsletter_anchors.cleaned.json              ← scored testid bboxes (eval ground truth)
│
├── 2_real-estate/                     ← also includes interaction_index{,.verified}.json
├── 3_job-board/
├── ... (one folder per task)
│
├── c0/<task>/                         ← input bundle for condition c0
│   └── description.md
│
├── c1/pick_{A,B,C}/<task>/            ← input bundle for condition c1 (3 framework picks)
│   ├── description.md
│   ├── pages/*.png
│   ├── scaffold/                      ← read-only reference scaffold
│   └── workspace/                     ← writable starting point (scaffold copy)
│
├── c2/<task>/
│   ├── description.md
│   └── pages/*.png
│
└── c3/<task>/
    ├── description.md
    └── pages/
        ├── *.png
        └── *_structure-only.json

---

Ground-truth assets (per task)

File / Dir	What it is
description.md	The agent-facing brief. One section per page; every UI element that the eval scores carries an inline <testid> marker (kebab-case, between angle brackets).
manifest.json	[{ index, page_name, file_key, node_id, png, structure_json, figma_meta }, ...]. Maps page number → Figma frame.
sitemap.md	Auto-generated navigation graph derived from interaction/*.json (only annotations whose type is navigate).
pages/<NN>_<Name>.png	Rendered Figma frame for the page (the visual ground truth).
pages/<NN>_<Name>.json	Full Figma node tree for the page.
pages/<NN>_<Name>_structure-only.json	Pruned node tree (hierarchy + bbox + type, no styles/text content). Cheap input for c3.
interaction/<page>_human_interaction_annotation.json	Per-page list of human-tagged clickable elements: { id, type, interactable, navigateTo, node, bbox_png, subtype, reasoning }.
interaction/<page>_click_subtype.json	Aggregate counts of click subtypes (click_dead, click_popout, click_navigate, ...).
interaction/<page>_click_subtype_report.html	QA visualization of the above.
<task>_anchors.raw.json	All annotations promoted to candidate anchors.
<task>_anchors.json	Filtered anchors.
<task>_anchors.cleaned.json	Final anchors used by the evaluator: { ann_id, testid, reasoning, bbox_png } per page.
interaction_index.json (some tasks)	Top-level index of interaction files.
interaction_index.verified.json (some tasks)	Same, verified against the manifest.

Testid contract

The evaluator locates each scored anchor with document.querySelector('[data-testid="<value>"]'). Marker syntax in description.md is <value>, not <testid>value</testid> — angle brackets wrap the literal value. Examples: <google> → data-testid="google"; <last-name> → data-testid="last-name". The cleaned anchors JSON pairs each testid with the bbox in PNG coordinates that the eval matches against.

---

Conditions (input bundles)

ID	What the agent sees	Bootstrap	System prompt
c0	description.md only (no PNG, no Figma JSON)	hand-write everything	agent_system_promt_c0.md
c1	description.md + pages/*.png + scaffold/ + workspace/	start from a pre-installed scaffold; 3 framework picks under c1/pick_{A,B,C}/: A=Astro, B=Eleventy, C=Next.js 16 + React 19 + Tailwind v4	agent_system_promt_c1.md
c2	description.md + pages/*.png	hand-write everything	agent_system_promt_c2.md
c3	description.md + pages/*.png + pages/*_structure-only.json	run an idiomatic scaffold yourself	agent_system_promt_c3.md
c4	same files as c3 (no separate c4/ bundle is shipped — reuse c3/<task>/)	hand-write from scratch (no scaffold artifact allowed)	agent_system_promt_c4.md

Why the conditions exist

The conditions form a 2×2×scaffold sweep over visual fidelity inputs vs. starter code:

• Visual input axis: text-only (c0) → text + PNG (c1, c2) → text + PNG + Figma structure JSON (c3, c4).
• Bootstrap axis: pre-installed scaffold provided (c1) vs. agent picks/runs scaffold (c3) vs. no scaffold allowed / hand-write (c0, c2, c4).
• c1's three picks isolate framework-choice variance under otherwise-identical inputs.

Sample count: c0(10) + c1(10×3) + c2(10) + c3(10) = 60 input bundles. (c4 reuses c3 inputs and only swaps the system prompt, so it adds 10 more agent runs but no new files on disk.)

---

metadata.jsonl

One JSON object per line; mixed kind field. Top-to-bottom order: dataset header (1) → task records (10) → sample records (60).

kind: "dataset"

Header with name, conditions list, and the system-prompt files that pair with each condition.

kind: "task"

One per ground-truth task folder.

{
  "kind": "task",
  "task_id": "1_newsletter",
  "task_index": 1,
  "task_title": "Task 1 — Newsletter / Blog Publication",
  "brand": "*BlogSprout* — a multi-author lifestyle/travel blog",
  "real_world_analogues": "Substack, Beehiiv, Medium",
  "figma_source": "Blog Sprout UI — FREE Figma Blog Web UI Kit and Design System (community)",
  "figma_file_key": "ymUMepRI8Lkg3TlPp5gqw0",
  "num_pages": 9,
  "pages_declared": 9,
  "page_files": ["01_Home.png", "02_Single-post.png", ...],
  "num_interactions_annotated": 9,
  "ground_truth_root": "1_newsletter",
  "anchor_files": ["1_newsletter_anchors.cleaned.json", "1_newsletter_anchors.json", "1_newsletter_anchors.raw.json"],
  "has_sitemap": true,
  "has_interaction_index": false
}

kind: "sample"

One per (condition × task[ × pick]).

{
  "kind": "sample",
  "id": "c1/pick_A/1_newsletter",
  "condition": "c1",
  "pick": "A",
  "framework_pick_description": "Astro (with @astrojs/mdx, @astrojs/sitemap, @astrojs/rss).",
  "task_id": "1_newsletter",
  "task_index": 1,
  "task_title": "Task 1 — Newsletter / Blog Publication",
  "num_pages": 9,
  "agent_system_prompt": "agent_system_promt_c1.md",
  "input_root": "c1/pick_A/1_newsletter",
  "inputs": ["description.md", "pages/*.png", "scaffold/", "workspace/"],
  "ground_truth_root": "1_newsletter"
}

input_root is what the agent should be given as the project root. ground_truth_root is the canonical task folder used for evaluation only — never expose it to the agent.

---

Quick recipes

Iterate over all c1/pick_A samples:

python3 - <<'PY'
import json
for line in open("metadata.jsonl"):
    r = json.loads(line)
    if r.get("kind") == "sample" and r["condition"] == "c1" and r.get("pick") == "A":
        print(r["id"], "→", r["input_root"])
PY

Diff expected vs. actual testids for a generated app (matches the system-prompt verification step):

TASK=1_newsletter
APP_DIR=/path/to/generated/app
grep -roE '<[a-z][a-z0-9_-]+>' "$TASK/description.md" | sed -E 's/.*<([^>]+)>.*/\1/' | sort -u > /tmp/expected
grep -roE 'data-testid="[a-z][a-z0-9_-]*"' "$APP_DIR" | sed -E 's/.*"([^"]+)".*/\1/' | sort -u > /tmp/actual
diff /tmp/expected /tmp/actual

Pull the cleaned anchors for evaluation:

jq '.anchors["01_Home"]' 1_newsletter/1_newsletter_anchors.cleaned.json

---

Notes / gotchas

• pages_declared (from the description's **Pages:** N header) can disagree with num_pages (count of PNGs on disk) when the description groups several mockups under one logical page (e.g. settings tabs in 10_streaming_music-streaming).
• manifest.json may contain entries with empty file_key / node_id for pages whose Figma annotation file was missing at extraction time (see the _note field on those entries). The PNG and structure JSON are still present.
• pages/*.json is the full Figma node tree; pages/*_structure-only.json is the pruned version. Only the latter is shipped in c3/ to keep input size manageable.
• c1/<pick>/<task>/scaffold/ and c1/<pick>/<task>/workspace/ start as identical copies. scaffold/ is read-only reference; the agent edits workspace/.