Update README.md

README.md

@@ -57,25 +57,37 @@ In the "image" folder, it contains 2 subfolders: "Fractured" and "Non-fractured"
 In the "Annotations" folder, it contains 4 subfolders: "COCO JSON", "PASCAL VOC", "VGG JSON", and "YOLO". Annotations are stored in their corresponding folders. More details can be read in ### Annotations section.
 In the "utilities" folder, it contains several programming scripts that could be used to convert the raw files to a more readable format. None of them were used in this dataset loader.
 The "dataset.csv" contains many basic variables for each image: <br />
-- **image_id** [string]: The unique identifier for each radiograph image in the dataset. <br />
-- hand [int]: A binary indicators (1 or 0) marking the presence of hand in the radiograph <br />
-    - leg [int] : A binary indicators (1 or 0) marking the presence of leg in the radiograph <br />
-    - hip [int] : A binary indicators (1 or 0) marking the presence of hip in the radiograph <br />
-    - shoulder [int]: A binary indicator (1 or 0) marking the shoulder in the radiograph <br />
-    - mixed [int]: A binary indicator of whether the image contains multiple body parts <br />
-    - hardware [int]: A binary indicator marking the presence of medical hardware (i.e. screws or plates) in the image <br />
-    - multiscan [int]: A binary indicator signifies whether the image is part of a set of multiple scans <br />
-    - fractured [int]: A binary indicator of whether there is a fracture present in the image <br />
-    - fracture_count [int]: The number of fractures present in the image <br />
-    - frontal [int]: A binary indicator denoting the front orientation of the radiograph <br />
-    - lateral[int]:  A binary indicator denoting the side orientation of the radiograph <br />
-    - oblique [int]: A binary indicator denoting denoting the angled orientation of the radiograph <br />
+- **image_id [string]:** The unique identifier for each radiograph image in the dataset. <br />
+- **hand[int]:** A binary indicators (1 or 0) marking the presence of hand in the radiograph <br />
+- **leg [int]:** A binary indicators (1 or 0) marking the presence of leg in the radiograph <br />
+- **hip [int]:** A binary indicators (1 or 0) marking the presence of hip in the radiograph <br />
+- **shoulder [int]:** A binary indicator (1 or 0) marking the shoulder in the radiograph <br />
+- **mixed [int]:** A binary indicator of whether the image contains multiple body parts <br />
+- **hardware [int]:** A binary indicator marking the presence of medical hardware (i.e. screws or plates) in the image <br />
+- **multiscan [int]:** A binary indicator signifies whether the image is part of a set of multiple scans <br />
+- **fractured [int]:** A binary indicator of whether there is a fracture present in the image <br />
+- **fracture_count [int]:** The number of fractures present in the image <br />
+- **frontal [int]:** A binary indicator denoting the front orientation of the radiograph <br />
+- **lateral[int]:**  A binary indicator denoting the side orientation of the radiograph <br />
+- **oblique [int]:** A binary indicator denoting denoting the angled orientation of the radiograph <br />
 
 ### Updated Dataset Schema
-In this dataset loader, certain existed variables are modified into specific Huggingface feature, such 
-Above are the data that could be directly extracted from the downloaded files. Other than the above-mentioned features, this huggingface dataset also extract infomation from annotations files to present a more systematic and clean FracAtlas dataset.
-Other variables are extracted from the annotations files:
-    - Image [image]: A PIL image object denoting each X-ray image \
+In this dataset loader, certain existed variables are extracted from the orginal "dataset.csv" and then modified into specific Huggingface feature class for clarity, for instance <em>ClassLabel<em>.
+Other important variables are extracted from other downloaded files in the "FracAtlas" zip file to present a more systematic and clean FracAtlas dataset.
+The full schema of the HuggingFace dataset loader is below:
+
+- **image_id [string]:** The unique identifier for each radiograph image in the dataset. <br />
+- **Image [image]:** A PIL image object denoting each X-ray image. This can be used to load the image file directly. <br />
+- **hand[ClassLabel]:** A binary indicators (1 or 0) marking the presence of hand in the radiograph <br />
+- **leg [ClassLabel]:** A binary indicators (1 or 0) marking the presence of leg in the radiograph <br />
+- **hip [int]:** A binary indicators (1 or 0) marking the presence of hip in the radiograph <br />
+- **shoulder [int]:** A binary indicator (1 or 0) marking the shoulder in the radiograph <br />
+- **mixed [int]:** A binary indicator of whether the image contains multiple body parts <br />
+- **hardware [int]:** A binary indicator marking the presence of medical hardware (i.e. screws or plates) in the image <br />
+- **multiscan [int]:** A binary indicator signifies whether the image is part of a set of multiple scans <br />
+- **fractured [int]:** A binary indicator of whether there is a fracture present in the image <br />
+- **fracture_count [int]:** The number of fractures present in the image <br />
+
     - Image_path [string]: A string representing the file path for its corresponding image \
     - segmentation [list]: A list object contains the segmentation info for each fractured image \
     - bbox [list]: A list object contains the bounding box info for each fractured image \