Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
image
image
End of preview. Expand in Data Studio

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.

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

Download the whole dataset (or a subset) with the Hub client:

pip install -U huggingface_hub
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-4.0. Please attribute when using this dataset.

Citation

If you use CaptchaArena, please cite this repository. (Formal citation / paper reference: TODO.)

Downloads last month
66