Update README.md

README.md

@@ -19,15 +19,13 @@ The challenge provides three types of hierarchically annotated data and addition
 
 The DENTEX dataset comprises panoramic dental X-rays obtained from three different institutions using standard clinical conditions but varying equipment and imaging protocols, resulting in diverse image quality reflecting heterogeneous clinical practice. The dataset includes X-rays from patients aged 12 and above, randomly selected from the hospital's database to ensure patient privacy and confidentiality.
 
-To enable effective use of the FDI system, the dataset is hierarchically organized into three types of data;
+To enable effective use of the FDI system, the dataset is hierarchically organized into three types of data:
 
-(a) 693 X-rays labeled for quadrant detection and quadrant classes only,
+- (a) 693 X-rays labeled for quadrant detection and quadrant classes only,
+- (b) 634 X-rays labeled for tooth detection with quadrant and tooth enumeration classes,
+- (c) 1005 X-rays fully labeled for abnormal tooth detection with quadrant, tooth enumeration, and diagnosis classes.
 
-(b) 634 X-rays labeled for tooth detection with quadrant and tooth enumeration classes,
-
-(c) 1005 X-rays fully labeled for abnormal tooth detection with quadrant, tooth enumeration, and diagnosis classes.
-
-The diagnosis class includes four specific categories: caries, deep caries, periapical lesions, and impacted teeth. An additional 1571 unlabeled X-rays are provided for pre-training.tientID_scanID_reconstructionID. For instance, "valid_53_a_1" indicates that this is a CT volume from the validation set, scan "a" from patient 53, and reconstruction 1 of scan "a". This naming convention applies to all files.
+The diagnosis class includes four specific categories: caries, deep caries, periapical lesions, and impacted teeth. An additional 1571 unlabeled X-rays are provided for pre-training. The naming convention, such as 'patientID_scanID_reconstructionID', is used for file identification, e.g., "valid_53_a_1" indicates that this is a CT volume from the validation set, scan "a" from patient 53, and reconstruction 1 of scan "a".
 
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