Add dataset card and link to paper

README.md

@@ -1,3 +1,62 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+task_categories:
+- image-text-to-text
+---
+
+# OS-SPEAR: A Toolkit for the Safety, Performance, Efficiency, and Robustness Analysis of OS Agents
+
+This repository contains the dataset for the paper [OS-SPEAR: A Toolkit for the Safety, Performance, Efficiency, and Robustness Analysis of OS Agents](https://huggingface.co/papers/2604.24348).
+
+**OS-SPEAR** is a comprehensive evaluation toolkit for **OS Agents**, designed to systematically assess their capabilities across four critical dimensions: Safety, Performance, Efficiency, and Robustness.
+
+GitHub Repository: [Wuzheng02/OS-SPEAR](https://github.com/Wuzheng02/OS-SPEAR)
+
+## 📊 Evaluation Benchmarks
+
+OS-SPEAR consists of three core subsets:
+
+| Dimension   | Subset                  | Description |
+| ----------- | ----------------------- | ----------- |
+| Safety      | `S-subset`              | Diverse environment- and human-induced hazards. |
+| Performance | `P-subset`              | Curated via trajectory value estimation and stratified sampling. |
+| Robustness  | `R-subset`              | Cross-modal disturbances applied to visual and textual inputs. |
+| Efficiency  | Derived from `P-subset` | Quantifies performance via temporal latency and token consumption. |
+
+## 📦 Dataset Preparation
+
+After downloading the dataset, ensure the folders are placed in your local toolkit directory as follows:
+
+```
+S-subset/
+P-subset/
+R-subset/
+```
+
+## 🚀 Usage
+
+To evaluate an OS agent using the OS-SPEAR toolkit, you can configure the `eval/config.yaml` file:
+
+```yaml
+MODEL: <model_name>          # choose from supported models
+MODEL_PATH: <absolute_path_to_model>
+DATA_PATH: <absolute_path_to_OS-SPEAR>
+LOG_PATH: <path_to_save_logs>
+
+TEST_S: true   # Safety
+TEST_P: true   # Performance
+TEST_R: true   # Robustness
+```
+
+Then, run the evaluation script:
+
+```bash
+cd eval
+python run.py
+```
+
+Finally, generate the evaluation report:
+
+```bash
+python report/evaluate.py
+```