Delete mbib-base.py

mbib-base.py

@@ -1,44 +0,0 @@
-import datasets
-import pandas as pd
-
-
-_MBIB_DESCRIPTION = 'bla bla'
-
-class MBIBConfig(datasets.BuilderConfig):
-    def __init__(self,data_dir,**kwargs):
-        super(MBIBConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
-        self.data_dir = data_dir
-
-
-class MBIB(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        MBIBConfig(name="cognitive-bias",data_dir="mbib-aggregated/cognitive-bias.csv"),
-        MBIBConfig(name="fake-news",data_dir="mbib-aggregated/fake-news.csv"),
-        MBIBConfig(name="gender-bias",data_dir="mbib-aggregated/gender-bias.csv"),
-        MBIBConfig(name="hate-speech",data_dir="mbib-aggregated/hate-speech.csv"),
-        MBIBConfig(name="linguistic-bias",data_dir="mbib-aggregated/linguistic-bias.csv"),
-        MBIBConfig(name="political-bias",data_dir="mbib-aggregated/political-bias.csv"),
-        MBIBConfig(name="racial-bias",data_dir="mbib-aggregated/racial-bias.csv"),
-        MBIBConfig(name="text-level-bias",data_dir="mbib-aggregated/text-level-bias.csv")]
-    
-    def _info(self):
-        features=datasets.Features(
-            {"text":datasets.Value("string"),
-            "label":datasets.Value("int32")}
-        )
-
-        return datasets.DatasetInfo(
-            description=_MBIB_DESCRIPTION,
-            features=features
-        )
-
-    def _split_generators(self, dl_manager):
-        data_file = dl_manager.download(self.config.data_dir)
-        return [datasets.SplitGenerator(name=datasets.Split.TRAIN,gen_kwargs={"data_dir": data_file})]
-
-
-    def _generate_examples(self, data_dir):
-       df = pd.read_csv(data_dir)[['text','label']].sample(frac=1)
-        
-       for i, row in df.iterrows():
-                yield i, {"text":row['text'],"label":row['label']}