x

dcase23-task2-enriched.py

@@ -113,27 +113,6 @@ class DCASE2023Task2DatasetConfig(datasets.BuilderConfig):
             description=description,
         )
 
-    def to_spotlight(self, data: Union[pd.DataFrame, datasets.Dataset]) -> pd.DataFrame:
-        if type(data) == datasets.Dataset:
-            df = data.to_pandas()
-            df["split"] = data.split
-            df["config"] = data.config_name
-
-            class_names = data.features["class"].names
-            df["class_name"] = df["class"].apply(lambda x: class_names[x])
-        elif type(data) == pd.DataFrame:
-            df = data
-        else:
-            raise TypeError("type(data) not in Union[pd.DataFrame, datasets.Dataset]")
-
-        df["file_path"] = df["path"]
-        df.rename(columns=self._rename, inplace=True)
-
-        return df.copy()
-
-    def get_layout(self):
-        return self._layout
-
 
 class DCASE2023Task2Dataset(datasets.GeneratorBasedBuilder):
     """Dataset for the DCASE 2023 Challenge Task 2 "First-Shot Unsupervised Anomalous Sound Detection