hate speech labels

hatebr.py

@@ -47,22 +47,18 @@ class Boun(datasets.GeneratorBasedBuilder):
                     "instagram_comments": datasets.Value("string"),
                     "offensive_language": datasets.Value("int32"),
                     "offensiveness_levels": 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)  
-                })
-                }
-            ),
+                    "antisemitism": datasets.Value("bool"),
+                    "apology_for_the_dictatorship": datasets.Value("bool"),
+                    "fatphobia": datasets.Value("bool"),
+                    "homophobia": datasets.Value("bool"),
+                    "partyism": datasets.Value("bool"),
+                    "racism": datasets.Value("bool"),
+                    "religious_intolerance": datasets.Value("bool"),
+                    "sexism": datasets.Value("bool"),
+                    "xenophobia": datasets.Value("bool"),
+                    "offensive_&_non-hate_speech": datasets.Value("bool"),
+                    "non-offensive": datasets.Value("bool")  
+                }),
             supervised_keys=None,
             homepage="https://github.com/franciellevargas/HateBR",
             citation=_CITATION,
@@ -77,11 +73,11 @@ class Boun(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, filepath):
         def process_row(row):
             categories = row["hate_speech"].split(",")
-            row["hate_speech"] = {}
+            del row["hate_speech"]
             for default_label in _LABEL_INT_KEY.keys():
-                row["hate_speech"][default_label] = False
+                row[default_label] = False
             for int_label in categories:
-                row["hate_speech"][_INT_LABEL_KEY[int(int_label)]] = True
+                row[_INT_LABEL_KEY[int(int_label)]] = True
             return row
         records = pd.read_csv(filepath).to_dict("records")
         for idx, row in enumerate(records):