# DragOn

Drag-grounding training and evaluation data pairing each screenshot instruction with start and end boxes, across text highlighting, spreadsheet cells, slide resizing and sliders.

- Catalog URL: https://awesomecua.github.io/resources/url-b854ff53e497da3a5ad8/
- Original source: https://huggingface.co/datasets/Hcompany/DragOn
- Kind: dataset
- Review: curated
- Scope: core
- Environments: cross-platform
- Topics: grounding
- Evidence checked: 2026-10-16T06:38:26Z
- ID: url:b854ff53e497da3a5ad8

## Limitations

The card cites a workshop paper titled "DragOn: A Drag-Grounding Benchmark and Training Dataset for GUI Agents" without an arXiv link. arXiv 2606.06322 has a different title, so no paper relation is recorded.

- Record JSON: https://awesomecua.github.io/resources/url-b854ff53e497da3a5ad8/record.json

## License declarations

- code: not recorded
- data: apache-2.0 — https://huggingface.co/datasets/Hcompany/DragOn
- document: not recorded
- weights: not recorded

## Primary evidence

- https://huggingface.co/api/datasets/Hcompany/DragOn (retrieved 2026-10-16T06:38:26Z; SHA-256 08b5529ce01781143147d56e2278aec2e5bdd972ba7e2fae6ba7e65e62688d40)
- https://huggingface.co/datasets/Hcompany/DragOn/raw/main/README.md (retrieved 2026-10-17T16:10:54Z; SHA-256 e7ef94cafcfd155961beec373f2f4e727715b7d517a819f52b5407fc2dec4009)
- https://huggingface.co/api/datasets/Hcompany/DragOn (retrieved 2026-10-16T06:38:26Z; SHA-256 08b5529ce01781143147d56e2278aec2e5bdd972ba7e2fae6ba7e65e62688d40)