Update dataset card with paper links, metadata, and benchmark details

README.md

@@ -33,4 +33,73 @@ configs:
     path: data/train-*
   - split: test
     path: data/test-*
+task_categories:
+- image-text-to-text
+tags:
+- healthcare
+- medical
+- gui-automation
+- vlm-agent
 ---
+
+# CareFlow Benchmark
+
+[**Project Page**](https://akashghosh.github.io/Care-Pilot/) | [**Paper**](https://huggingface.co/papers/2603.24157) | [**GitHub**](https://github.com/AkashGhosh/CarePilot)
+
+**CareFlow** is a high-quality human-annotated benchmark for long-horizon software workflows across medical annotation tools, DICOM viewers, EHR systems, and laboratory information systems. It was introduced as part of the paper "CarePilot: A Multi-Agent Framework for Long-Horizon Computer Task Automation in Healthcare".
+
+The benchmark is designed to evaluate vision-language models (VLMs) on complex, multi-step interactions in domain-specific medical contexts.
+
+## Dataset Summary
+
+CareFlow covers four major categories of clinical software:
+
+| Category | Platforms |
+|---|---|
+| DICOM viewing & infrastructure | Orthanc, Weasis |
+| Medical image computing & annotation | 3D Slicer |
+| Hospital information & EMR systems | OpenEMR |
+| Laboratory information systems | OpenHospital (OOD) |
+
+### Dataset Statistics
+
+| Split | Tasks | Avg. Steps | Min | Max | Actions |
+|---|---|---|---|---|---|
+| Train | 735 | 12.7 | 7 | 22 | 6 |
+| Test | 315 | 12.9 | 9 | 24 | 6 |
+| **Total** | **1050** | — | — | — | **6** |
+
+### Action Space
+
+The benchmark defines 6 primary atomic semantic actions:
+- `CLICK`: Move the cursor and click at the specified item.
+- `SCROLL`: Scroll the active view vertically or horizontally.
+- `ZOOM`: Adjust the magnification level of the displayed image or view.
+- `TEXT`: Type a string into the focused input field.
+- `SEGMENT`: Create or edit a segmentation / ROI on the medical image.
+- `COMPLETE`: Mark the workflow or task as finished.
+
+## Usage
+
+To run the CarePilot agentic pipeline on the CareFlow dataset, navigate to the `Agentic_Pipeline` directory in the [official repository](https://github.com/AkashGhosh/CarePilot) and use the following command:
+
+```bash
+python main.py --mode dataset --max_tasks 5
+```
+
+To generate Critic-augmented trajectories (SFT Data) from the training set:
+
+```bash
+python main.py --mode dataset --max_tasks 735 --start_task 0
+```
+
+## Citation
+
+```bibtex
+@inproceedings{ghosh2026carepilot,
+  title={CarePilot: A Multi-Agent Framework for Long-Horizon Computer Task Automation in Healthcare},
+  author={Akash Ghosh and Tajamul Ashraf and Rishu Kumar Singh and Numan Saeed and Sriparna Saha and Xiuying Chen and Salman Khan},
+  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+  year={2026},
+}
+```