Update README.md

README.md

@@ -13,6 +13,12 @@ The dataset is relevant to Ukrainian reviews in three different domains:
 2) Reustarants.
 3) Products.
 
+The dataset is comrpised of several .csv files, which one can found useful:
+1) processed_data.csv - the processed dataset itself.
+2) train_val_test_indices.csv - csv file with train/val/test indices. The split was stratified w.r.t dataset name (hotels, reustarants, products) and rating.
+3) bad_ids.csv - csv file with ids of bad samples marked using model filtering approach, only ids of those samples for which difference between actual and predicted rating is bigger than 2 points are maintained in this file.
+
+
 The data is scrapped from Tripadvisor (https://www.tripadvisor.com/) and Rozetka (https://rozetka.com.ua/).
 
 The dataset was initially used for extraction of key-phrases relevant to one of rating categories, based on trained machine learning model (future article link will be here).
@@ -21,4 +27,5 @@ Dataset is processed to include two additional columns: one with lemmatized toke
 
 The words are tokenized using a specific regex tokenizer to account for usage of apostroph.
 
-Those reviews which weren't in Ukrainian were translated to it using Microsoft translator and re-checked manually afterwards.
+Those reviews which weren't in Ukrainian were translated to it using Microsoft translator and re-checked manually afterwards.
+