| --- |
| license: apache-2.0 |
| language: |
| - en |
| pretty_name: Anchor Tasks Web |
| size_categories: |
| - n<1K |
| task_categories: |
| - image-to-text |
| - text-generation |
| - other |
| tags: |
| - web-app-generation |
| - benchmark |
| - figma |
| - ui |
| - mockup-to-code |
| - testid |
| - multimodal |
| configs: |
| - config_name: samples |
| default: true |
| data_files: |
| - split: train |
| path: samples.jsonl |
| - config_name: tasks |
| data_files: |
| - split: train |
| path: tasks.jsonl |
| --- |
| |
| # 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. |
|
|
| ```jsonc |
| { |
| "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]). |
|
|
| ```jsonc |
| { |
| "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:** |
| |
| ```bash |
| 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):** |
|
|
| ```bash |
| 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:** |
|
|
| ```bash |
| 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/`. |
|
|
