By requesting access you agree to use CaptchaArena solely for non-commercial academic research. Any commercial use is prohibited. Access requests are reviewed by the dataset authors.

CaptchaArena

CaptchaArena is a multimodal CAPTCHA dataset for training and evaluating GUI / computer-use agents on their ability to solve CAPTCHA puzzles. It spans 20 CAPTCHA task families (point-and-click, counting, rotation alignment, drag-to-fit, press-and-hold, connect-the-icons, …), each rendered as one or more screenshot images with an associated instruction and ground-truth answer.

⚠️ Access & use: This dataset is gated and released for non-commercial academic research only — commercial use is prohibited (CC-BY-NC-4.0). Request access above and agree to the terms.

🔗 Code: github.com/X0X0X00/CaptchaArena — puzzle generation, mock-solving, and evaluation.

Task families (20)


Bingo	Click_Order	Connect_Icon	Coordinates
Dart_Count	Dice_Count	Geometry_Click	Hold_Button
Image_Matching	Image_Recognition	Misleading_Click	Object_Match
Patch_Select	Path_Finder	Pick_Area	Place_Dot
Rotation_Match	Select_Animal	Slide_Puzzle	Unusual_Detection

Each family is a distinct CAPTCHA style: some are single-image / single-step (e.g. Bingo, Geometry_Click), others are multi-image / multi-step (e.g. Patch_Select, Connect_Icon, Slide_Puzzle).

Splits & structure

CaptchaArena/
├── Train/          # 2100 puzzles per task
│   ├── Bingo_2100/
│   ├── Click_Order_2100/
│   ├── Connect_Icon_2100/      # packaged as a .tar (see Notes)
│   ├── …
│   └── Hold_Button_2100/
├── Val/            # 200 puzzles per task
│   ├── Bingo_200/
│   └── …
└── Test/           # 200 puzzles per task
    ├── Bingo_200/
    └── …

Train 2,100 puzzles / task; Val and Test 200 puzzles / task, across all 20 families.
Folder naming: <Split>/<Task>_<N>/ where N is the target puzzle count.
Puzzle images are PNG. Layout varies by task: single-image families store flat PNGs (e.g. Train/Bingo_2100/bingo1.png); multi-image families group each puzzle in its own sub-folder.

Notes

Train/Connect_Icon_2100/ is shipped as a single archive, Connect_icon_2100.tar (~5.3 GB, LFS). Extract it with:
```
tar xf Connect_icon_2100.tar
```

Loading

After your access request is approved, log in and download with the Hub client:

pip install -U huggingface_hub
hf auth login          # required: this dataset is gated
hf download ZHEN-04/CaptchaArena --repo-type dataset --local-dir CaptchaArena

Or grab a single split / task folder:

from huggingface_hub import snapshot_download
snapshot_download(
    "ZHEN-04/CaptchaArena", repo_type="dataset",
    allow_patterns=["Val/Bingo_200/*"], local_dir="CaptchaArena",
)

License

Released under CC-BY-NC-4.0 (Creative Commons Attribution–NonCommercial 4.0). Non-commercial academic research use only — commercial use is prohibited. Access is gated: you must request access and agree to these terms before downloading. Please attribute when using this dataset.

Citation

If you use CaptchaArena, please cite this repository and the code at github.com/X0X0X00/CaptchaArena. (Formal citation / paper reference: TODO.)

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