Update README.md

README.md

@@ -22,11 +22,12 @@ Addressing few-shot scenarios is crucial due to the frequent occurrence of rare
 
 The following table shows the distribution of data samples across different interaction frequency categories in the training, validation, and test sets:
 
-| Frequency       | Train  | Valid  | Test   |
-|-----------------|--------|--------|--------|
-| Common (>50)    | 44,126 | 44,113 | 132,110|
-| Few (15-50)     | 108    | 128    | 298    |
-| Rare (<15)      | 43     | 34     | 85     |
+| Freq   | Train | Valid | Test   |
+|--------|-------|-------|--------|
+| Common | 44,126| 44,113| 132,110|
+| Few    | 108   | 128   | 298    |
+| Rare   | 43    | 34    | 85     |
+
 
 This categorization into 'common', 'few', and 'rare' is based on the frequency of DDIE occurrences, which helps address the challenges posed by different frequency categories in real-world scenarios. Additionally, categories with fewer than two samples were removed, and the remaining samples were distributed into training, validation, and test sets at ratios of 2:2:6 to enhance the dataset's quality and reliability.