Update README.md

README.md

@@ -36,6 +36,50 @@ See the official code, paper, and zenodo archive below. Their work has been acce
 [![Code](https://img.shields.io/badge/Code-black?style=flat-square&logo=github)](https://github.com/MehreenMehreen/muharaf) | [![Paper](https://img.shields.io/badge/Paper-black?style=flat-square&logo=arxiv)](https://arxiv.org/abs/2406.09630) | [![Dataset](https://img.shields.io/badge/Dataset-black?style=flat-square&logo=zenodo&logoColor=white&logoSize=auto)](https://zenodo.org/records/11492215)
 :-------------------------:|:-------------------------:|:----
 
+# How to use
+
+```python
+from datasets import load_dataset
+import matplotlib.pyplot as plt
+
+# Load your dataset in streaming mode to be loaded faster
+# https://huggingface.co/docs/datasets/v1.10.1/dataset_streaming.html
+
+ds = load_dataset("Omarkhaledok/muharaf-public-pages", streaming=True)
+
+# Take one sample from the training set
+
+sample = next(iter(ds['train']))
+
+# Number of samples to visualize
+
+SAMPLE_SIZE=1
+
+# Display the image using matplotlib
+
+plt.imshow(sample['image'])
+plt.axis('off')  # Hide axes for better visualization
+plt.show()
+
+# Print the corresponding text
+
+print("Corresponding text:")
+print(sample['text'])
+
+# # Example: iterate through 5 samples and visualize them
+# # Uncode the following lines to visualize `SAMPLE_SIZE` of images and the corresponding text
+
+# for i, sample in enumerate(ds['train']):
+#   if i >= SAMPLE_SIZE:
+#     break
+#   plt.imshow(sample['image'])
+#   plt.axis('off')
+#   plt.title(f"Sample {i+1}")
+#   plt.show()
+#   print("Text:", sample['text'])
+#   print("-"*50)
+
+```
 # Citation
 
 If you are using this dataset in your work, please cite the official paper below.