Update humsetbias.py

humsetbias.py

@@ -87,6 +87,58 @@ HUMSETBIAS_FEATURES = datasets.Features(
         "subpillars_2d": datasets.Sequence(datasets.Value("string"), length=-1),
     }
 )
+
+HUMSETBIAS_GENERAL = [
+    'entry_id',
+    'excerpt',
+    "lang",
+    'excerpt_type',
+    "gender_keywords",
+    "country_keywords",
+    "gender_kword_type",
+    "country_kword_type",
+    'gender_context_falsing_kw',
+    "country_context_falsing_kw",
+    "sectors",
+    "pillars_1d",
+    "pillars_2d",
+    "subpillars_1d",
+    "subpillars_2d"
+]
+
+HUMSETBIAS_FEATURES_GENDER = [
+    'entry_id',
+    'excerpt',
+    "lang",
+    'keywords',
+    'kword_type',
+    'excerpt_type',
+    'gender_context_falsing_kw',
+    "sectors",
+    "pillars_1d",
+    "pillars_2d",
+    "subpillars_1d",
+    "subpillars_2d"
+]
+
+HUMSETBIAS_FEATURES_COUNTRY = [
+    'entry_id',
+    'excerpt',
+    "lang",
+    'keywords',
+    'kword_type',
+    'excerpt_type',
+    'country_context_falsing_kw',
+    "sectors",
+    "pillars_1d",
+    "pillars_2d",
+    "subpillars_1d",
+    "subpillars_2d"
+]
+                             ]
+
+
+
 class HumsetConfig(datasets.BuilderConfig):
     """BuilderConfig for HumsetBias."""
 
@@ -140,33 +192,39 @@ class Humset(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 gen_kwargs={
-                    "filepath": downloaded_files["dev"],
+                    "filepath": downloaded_files["dev"], "type": "normal"
                 },
             ),
             datasets.SplitGenerator(
                 name="test_gender",
                 gen_kwargs={
-                    "filepath": downloaded_files["gender"],
+                    "filepath": downloaded_files["gender"], "type": "gender"
                 },
             ),
             datasets.SplitGenerator(
                 name="test_country",
                 gen_kwargs={
-                    "filepath": downloaded_files["country"], "features": datasets.Features({"entry_id":  datasets.Value("string")})
+                    "filepath": downloaded_files["country"], "type": "country"
                 }
             ),
         ]
 
         return splits
 
-    def _generate_examples(self, filepath):
+    def _generate_examples(self, filepath, type):
         
         """This function returns the examples in the raw (text) form."""
         with open(filepath, encoding="utf-8") as f:
             data = list(f)
             idx = 0
             for line in data:
-                row = json.loads(line)   
+                row = json.loads(line)
+                if type == "normal":
+                    row = {k: v for k, v in row if k in HUMSETBIAS_GENERAL}
+                elif type == "gender":
+                    row = {k: v for k, v in row if k in HUMSETBIAS_FEATURES_GENDER}
+                elif type == "country":
+                    row = {k: v for k, v in row if k in HUMSETBIAS_FEATURES_COUNTRY}
                 #if self.config.name == "1.0.0":
                 yield idx, row
                 idx+=1