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

Hi, I'm Niels from the Hugging Face community science team.

I'm opening this pull request to improve the dataset card for CareFlow. This includes:
- Adding the `image-text-to-text` task category to the YAML metadata.
- Adding links to the paper, project page, and official GitHub repository.
- Providing a detailed description of the CareFlow benchmark, including software coverage and dataset statistics.
- Adding the defined action space and usage instructions based on the repository documentation.

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},
+}
+```