Update README.md

README.md

@@ -1,4 +1,5 @@
 ---
+license: apache-2.0
 dataset_info:
   features:
   - name: image
@@ -12,16 +13,16 @@ dataset_info:
       list: string
   splits:
   - name: train
-    num_bytes: 121301347.0
+    num_bytes: 121301432
     num_examples: 678
   - name: test
-    num_bytes: 26238165.0
+    num_bytes: 26238185
     num_examples: 158
   - name: valid
-    num_bytes: 23829895.0
+    num_bytes: 23829914
     num_examples: 150
-  download_size: 119388010
-  dataset_size: 171369407.0
+  download_size: 119387398
+  dataset_size: 171369531
 configs:
 - config_name: default
   data_files:
@@ -31,4 +32,86 @@ configs:
     path: data/test-*
   - split: valid
     path: data/valid-*
+task_categories:
+- object-detection
+pretty_name: Screen2AX-Element
+size_categories:
+- n<1K
 ---
+# 📦 Screen2AX-Element
+
+Screen2AX-Element is part of the **Screen2AX** dataset suite, a research-driven collection for advancing accessibility in macOS applications using computer vision and deep learning.
+
+This dataset focuses on **UI element detection** from macOS application screenshots and is designed for training and evaluating object detection models.
+
+---
+
+## 🧠 Dataset Summary
+
+Each sample in the dataset consists of:
+- An application **screenshot** (`image`)
+- A dictionary of **UI elements** (`objects`) with 2 keys:
+  - `bbox` (`List[List[int]]`): List of bounding box coordinates in `[x_min, y_min, x_max, y_max]` format
+  - `category` (`List[str]`): List of labels indicating the UI element type (`AXButton`, `AXDisclosureTriangle`, `AXLink`, `AXTextArea`, `AXImage`)
+
+The dataset supports training deep learning models for object detection tasks specifically tuned for graphical user interfaces (GUIs) on macOS.
+
+**Splits:**
+- `train`
+- `valid`
+- `test`
+
+**Task Category:**
+- `object-detection`
+
+---
+
+## 📚 Usage
+
+### Load with `datasets` library
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("MacPaw/Screen2AX-Element")
+```
+
+### Example structure
+
+```python
+sample = dataset["train"][0]
+print(sample.keys())
+# dict_keys(['image', 'objects'])
+
+print(sample["objects"])
+# {'bbox': [[x_min, y_min, x_max, y_max], ...], 'category': ['AXButton', ...]}
+```
+
+---
+
+## 📜 License
+
+This dataset is licensed under the **Apache 2.0 License**.
+
+---
+
+## 🔗 Related Projects
+
+- [Screen2AX Main Project Page](https://github.com/MacPaw/Screen2AX)
+- [Screen2AX HuggingFace Collection](https://huggingface.co/collections/MacPaw/screen2ax-687dfe564d50f163020378b8)
+
+---
+
+## ✍️ Citation
+
+If you use this dataset, please cite the Screen2AX paper:
+
+```bibtex
+...
+```
+
+---
+
+## 🌐 MacPaw Research
+
+Learn more at [https://research.macpaw.com](https://research.macpaw.com)