Update README.md

README.md

@@ -20,23 +20,22 @@ We adopt the official absolute-timestamp split provided by the corpus.
 
 ## Post-processing Pipeline
 The dataset is processed per category as follows:
+
 1. positive sample
-We treat user-item interactions with user ratings greater than 3 as positive samples.
+   We treat user-item interactions with user ratings greater than 3 as positive samples.
 
 2. K-core filtering
-To improve data quality, we remove users with fewer than 10
-interactions in CDs and fewer than 5 interactions in the remaining
-datasets.
+   To improve data quality, we remove users with fewer than 10 interactions in CDs and fewer than 5 interactions in the remaining datasets.
 
 ## Directory Layout (per category)
 Each category has its own folder containing:
-item.csv:  Primarily containing the remapped IDs for the items within that specific category.
+* item.csv:  Primarily containing the remapped IDs for the items within that specific category.
 
-train.csv: A file containing the interaction sequences used for training the model.
+* train.csv: A file containing the interaction sequences used for training the model.
 
-valid.csv: A dedicated directory containing the validation sequences to tune hyperparameters and prevent overfitting.
+* valid.csv: A dedicated directory containing the validation sequences to tune hyperparameters and prevent overfitting.
 
-test.csv: A directory containing the test sequences.
+* test.csv: A directory containing the test sequences.
 
 ## Licensing & Attribution
 This dataset is derived from Amazon Reviews 2023. Please refer to the original dataset page for licensing/usage terms and attribution requirements: