Create README.md

README.md

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+# Real-World Evaluation Images for Articulated Objects Interaction Generation
+
+This dataset contains the real-world images used in evaluating [DragAPart](https://dragapart.github.io/), a conditional image generator that models interaction with articulated objects.
+
+## 📦 How to Use It?
+
+Each sample consists of:
+- `original_image_XXX.png`: The base image showing an articulated object.
+- `arrow_locations_XXX.npy`: A NumPy file containing the arrow coordinates for interaction.
+
+The `.npy` file stores one arrow as:
+
+```python
+[x0, y0, x1, y1]  # Normalized coordinates in [0, 1]
+```
+
+Where:
+- `(x0, y0)` is the **starting point** of the interaction (e.g., where the user clicks),
+- `(x1, y1)` is the **end point** indicating the direction or extent of the manipulation.
+
+These coordinates are normalized relative to the image size.
+
+---
+
+## 🖼️ Visualization
+
+You can visualize the interaction using the following Python script:
+
+```python
+import numpy as np
+from PIL import Image
+import matplotlib.pyplot as plt
+
+# Load image and arrow data
+image_path = "original_image_000.png"
+arrow_path = "arrow_locations_000.npy"
+
+image = Image.open(image_path)
+arrow = np.load(arrow_path)[0]  # [x0, y0, x1, y1]
+
+# Convert normalized coordinates to pixel values
+width, height = image.size
+x0, y0 = int(arrow[0] * width), int(arrow[1] * height)
+x1, y1 = int(arrow[2] * width), int(arrow[3] * height)
+
+# Plot the image and overlay the interaction arrow
+plt.figure(figsize=(6, 6))
+plt.imshow(image)
+plt.arrow(x0, y0, x1 - x0, y1 - y0,
+          color='red', width=2, head_width=10, length_includes_head=True)
+plt.axis('off')
+plt.title("Interactive Manipulation Arrow")
+plt.show()
+```
+
+This will display the original image with a red arrow showing the suggested user interaction as below:
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6467cc17e7a6a374fd1a41e5/_lPDMDThiHi0RqxiFOF5a.png)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6467cc17e7a6a374fd1a41e5/Nzl3TaTRd99WyB6IxqXhb.png)