b2w-reviews

b2w-reviews01.py

@@ -18,22 +18,6 @@ _URLS = {
     "train": "https://raw.githubusercontent.com/americanas-tech/b2w-reviews01/4639429ec698d7821fc99a0bc665fa213d9fcd5a/B2W-Reviews01.csv"
     }
 
-_LABEL_INT_KEY = {
-    "antisemitism": 1,
-    "apology_for_the_dictatorship": 2,
-    "fatphobia": 3,
-    "homophobia": 4,
-    "partyism": 5,
-    "racism": 6,
-    "religious_intolerance": 7,
-    "sexism": 8,
-    "xenophobia": 9,
-    "offensive_&_non-hate_speech": -1,
-    "non-offensive": 0
-}
-
-_INT_LABEL_KEY = {v:k for k,v in _LABEL_INT_KEY.items()}
-
 class Reviews(datasets.GeneratorBasedBuilder):
 
     VERSION = datasets.Version("1.0.0")
@@ -51,7 +35,7 @@ class Reviews(datasets.GeneratorBasedBuilder):
                     site_category_lv2=datasets.Value("string"),
                     review_title=datasets.Value("string"),
                     overall_rating=datasets.Value("int32"),
-                    recommend_to_a_friend=datasets.Value("bool"),
+                    recommend_to_a_friend=datasets.Value("string"),
                     review_text=datasets.Value("string"),
                     reviewer_birth_year=datasets.Value("int32"),
                     reviewer_gender=datasets.Value("string"),
@@ -75,23 +59,12 @@ class Reviews(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, filepath):
         def process_row(row):
 
-            recommend_key = {
-                "Yes": True,
-                "No": False
-            }
-
-            row["recommend_to_a_friend"] = recommend_key.get(row["recommend_to_a_friend"], None)
-
             row["overall_rating"] = int(row["overall_rating"])
 
             try:
                 row["reviewer_birth_year"] = int(float(row["reviewer_birth_year"]))
             except ValueError:
                 row["reviewer_birth_year"] = None
-            
-            for key, value in row.items():
-                if isinstance(value, str) and not value.strip():
-                    row[key] = None
 
             return row