hate speech labels

hatebr.py

@@ -20,6 +20,22 @@ _URLS = {
     "train": "https://raw.githubusercontent.com/ruanchaves/HateBR/main/dataset/HateBR.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 Boun(datasets.GeneratorBasedBuilder):
 
     VERSION = datasets.Version("1.0.0")
@@ -31,7 +47,20 @@ class Boun(datasets.GeneratorBasedBuilder):
                     "instagram_comments": datasets.Value("string"),
                     "offensive_language": datasets.Value("int32"),
                     "offensiveness_levels": datasets.Value("int32"),
-                    "hate_speech": datasets.Value("int32")
+                    "hate_speech": datasets.Sequence(
+                        feature={
+                            "antisemitism": datasets.Value(dtype='bool', id=None),
+                            "apology_for_the_dictatorship": datasets.Value(dtype='bool', id=None),
+                            "fatphobia": datasets.Value(dtype='bool', id=None),
+                            "homophobia": datasets.Value(dtype='bool', id=None),
+                            "partyism": datasets.Value(dtype='bool', id=None),
+                            "racism": datasets.Value(dtype='bool', id=None),
+                            "religious_intolerance": datasets.Value(dtype='bool', id=None),
+                            "sexism": datasets.Value(dtype='bool', id=None),
+                            "xenophobia": datasets.Value(dtype='bool', id=None),
+                            "offensive_&_non-hate_speech": datasets.Value(dtype='bool', id=None),
+                            "non-offensive": datasets.Value(dtype='bool', id=None)  
+                })
                 }
             ),
             supervised_keys=None,
@@ -46,6 +75,14 @@ class Boun(datasets.GeneratorBasedBuilder):
         ]
 
     def _generate_examples(self, filepath):
+        def process_row(row):
+            categories = row["hate_speech"].split(",")
+            row["hate_speech"] = {}
+            for default_label in _LABEL_INT_KEY.keys():
+                row["hate_speech"][default_label] = False
+            for int_label in categories:
+                row["hate_speech"][_INT_LABEL_KEY[int_label]] = True
+            return row
         records = pd.read_csv(filepath).to_dict("records")
         for idx, row in enumerate(records):
-            yield idx, row
+            yield idx, process_row(row)