| --- |
| license: cc-by-4.0 |
| pretty_name: Animation2Code |
| task_categories: |
| - video-text-to-text |
| language: |
| - en |
| tags: |
| - code |
| - html |
| - css |
| - javascript |
| - animation |
| - web |
| - codepen |
| - video-to-code |
| - benchmark |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Animation2Code |
|
|
| **Animation2Code** is a benchmark for video-to-code generation of web animations. It contains 1,069 examples, each with a rendered web animation video and self-contained HTML/CSS/JavaScript that produced it. |
|
|
| - **Paper:** *Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generation* (NeurIPS 2026) |
| - **Project page:** https://anya-ji.github.io/animation2code-website/ |
|
|
| ## Dataset Structure |
|
|
| ``` |
| data/ |
| ├── train/ 769 examples |
| ├── val/ 86 examples |
| └── test/ 214 examples |
| └── codepen-<collection_id>-<pen_id>[-<k>]/ |
| ├── animation.mp4 |
| ├── full.html |
| └── metadata.json |
| ``` |
|
|
| Each example directory contains exactly three files: |
|
|
| | File | Description | |
| |------|-------------| |
| | `animation.mp4` | The rendered reference video (the task input). H.264 (`yuv444p`), 1024×768, 30 fps, about 2–8 s. | |
| | `full.html` | A self-contained HTML document with inline `<style>` and `<script>` tags (the ground-truth target). | |
| | `metadata.json` | Provenance and dependency information (see below). | |
|
|
| ### Example IDs |
| `codepen-<collection_id>-<pen_id>` names the CodePen collection and pen the example came from. When a single pen contained several independent animations, it was split into sub-examples with a `-<k>` suffix (e.g. `codepen-DrPkOq-poyOMgr-1` … `-4`). All sub-examples of a pen are in the same split. |
|
|
| ### Metadata fields |
|
|
| In `metadata.json`: |
|
|
| | Field | Presence | Description | |
| |-------|----------|-------------| |
| | `title` | always | Pen title given by the original author. | |
| | `url` | always | Canonical CodePen URL, kept for attribution. | |
| | `external_resources` | 486 / 1,069 | `{"scripts": [...], "stylesheets": [...]}`: URLs of external libraries and stylesheets the pen loads. These are **not** inlined into `full.html` and must be loaded from the network when rendering. | |
| | `jquery_translated` | 41 / 1,069 | The jQuery URL that was removed when the pen's jQuery code was translated to vanilla JavaScript. | |
|
|
| Example: |
|
|
| ```json |
| { |
| "title": "Merry Christmas Tree!", |
| "url": "https://codepen.io/chrisgannon/pen/dypvKvR", |
| "external_resources": { |
| "scripts": [ |
| "https://unpkg.co/gsap@3/dist/gsap.min.js", |
| "https://s3-us-west-2.amazonaws.com/s.cdpn.io/16327/MorphSVGPlugin3.min.js" |
| ] |
| } |
| } |
| ``` |
|
|
| ## Usage |
|
|
| The data is stored as raw files (one directory per example), so download it with `huggingface_hub`: |
|
|
| ```python |
| import json |
| from pathlib import Path |
| from huggingface_hub import snapshot_download |
| |
| root = Path(snapshot_download("anim2code/dataset", repo_type="dataset")) |
| # For a single split only: snapshot_download(..., allow_patterns="data/test/*") |
| |
| for ex_dir in sorted((root / "data" / "test").iterdir()): |
| video_path = ex_dir / "animation.mp4" |
| html = (ex_dir / "full.html").read_text() |
| meta = json.loads((ex_dir / "metadata.json").read_text()) |
| ``` |
|
|
| Or with the CLI: |
|
|
| ```bash |
| hf download anim2code/dataset --repo-type dataset --local-dir anim2code_data |
| ``` |
|
|
| ## Dataset Statistics |
|
|
| | Split | Examples | |
| |-------|----------| |
| | train | 769 | |
| | val | 86 | |
| | test | 214 | |
| | **total** | **1,069** | |
|
|
| **Durations:** 2–8 s (mean 5.1 ± 2.4 s). Looping animations are captured for at least one full cycle. |
|
|
| ## License |
|
|
| This dataset is released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). The original code comes from public CodePen pens, which are MIT-licensed ([CodePen licensing](https://blog.codepen.io/documentation/licensing/)). Each example's `metadata.json` keeps the original pen URL so the original author can be credited. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{ji2026animation2code, |
| title = {Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generation}, |
| author = {Ji, Anya and Mudunuri, Abhijith Varma and Chan, David M. and Suhr, Alane}, |
| year = {2026}, |
| eprint = {2606.28593}, |
| archivePrefix = {arXiv}, |
| url = {https://arxiv.org/abs/2606.28593}, |
| } |
| ``` |
|
|
