replace ClassLabel with Value('string')

author_profiling.py

@@ -92,12 +92,12 @@ class AuthorProfiling(datasets.GeneratorBasedBuilder):
                     "account_id": datasets.Value("string"),
                     "author_id": datasets.Value("int64"),
                     "age": datasets.Value("int64"),
-                    "age_group": datasets.ClassLabel(names=["0-19", "20-29", "30-39", "40-49", "50+"]),
-                    "gender": datasets.ClassLabel(names=["male", "female"]),
-                    "no_imitation": datasets.ClassLabel(names=["no_any_imitation", "with_any_imitation"]),
-                    "age_imitation": datasets.ClassLabel(names=["no_age_imitation", "younger", "older", "None"]),
-                    "gender_imitation": datasets.ClassLabel(names=["no_gender_imitation", "with_gender_imitation", "None"]),
-                    "style_imitation": datasets.ClassLabel(names=["no_style_imitation", "with_style_imitation", "None"]),
+                    "age_group": datasets.Value("string"), #.ClassLabel(names=["0-19", "20-29", "30-39", "40-49", "50+"]),
+                    "gender": datasets.Value("string"), #.ClassLabel(names=["male", "female"]),
+                    "no_imitation": datasets.Value("string"), #.ClassLabel(names=["no_any_imitation", "with_any_imitation"]),
+                    "age_imitation": datasets.Value("string"), #.ClassLabel(names=["no_age_imitation", "younger", "older", "None"]),
+                    "gender_imitation": datasets.Value("string"), #.ClassLabel(names=["no_gender_imitation", "with_gender_imitation", "None"]),
+                    "style_imitation": datasets.Value("string"), #.ClassLabel(names=["no_style_imitation", "with_style_imitation", "None"]),
                     # These are the features of your dataset like images, labels ...
                 }
             )