Update README.md

README.md

@@ -11,12 +11,20 @@ dataset_info:
     num_examples: 6060
   download_size: 1108991167
   dataset_size: 1108945726.54
+task_categories:
+- image-to-text
+language:
+- en
+tags:
+- medical
+size_categories:
+- 1K<n<10K
 ---
 # Indiana University Chest Xray Dataset Card
 
 ## Data sources:
-This is a converted and processed version of the open access pneumonia chest x-ray dataset provided by the indiana university
-You can see its information page [here](https://openi.nlm.nih.gov/faq).
+This is a converted and processed version of the open access pneumonia chest x-ray dataset provided by the indiana university.<br>
+You can see its information page [here](https://openi.nlm.nih.gov/faq).<br>
 The compressed images in the png format were downloaded from [here](https://openi.nlm.nih.gov/imgs/collections/NLMCXR_png.tgz) and the corresponding reports from [here](https://openi.nlm.nih.gov/imgs/collections/NLMCXR_reports.tgz).
 
 ## Data fields:
@@ -33,4 +41,4 @@ The images are the x-rays and the texts are their associated findings.
 
 4. **Remove all words with 2 or more Xs in a row**: Remove any words that contain two or more consecutive occurrences of the letter "X" as they may not contribute meaningful information.
 
-5. **Remove the bottom and top 2% of text by length**: Discard the shortest and longest text samples, removing the bottom 2% and top 2% of the text's length, respectively. This step is aimed at reducing the impact of outliers and ensuring a more balanced dataset.
+5. **Remove the bottom and top 2% of text by length**: Discard the shortest and longest text samples, removing the bottom 2% and top 2% of the text's length, respectively. This step is aimed at reducing the impact of outliers and ensuring a more balanced dataset.