fix (Dataset): Make DfDataset and GenericDataset abstract (#101)

niceml/data/datasets/dfdataset.py

@@ -1,4 +1,5 @@
 """Module for dfdataset"""
+from abc import ABC
 from dataclasses import dataclass
 from typing import List, Union, Optional, Any
 
@@ -71,7 +72,7 @@ def __getattr__(self, item) -> Any:
         return self.data[item]
 
 
-class DfDataset(Dataset):  # pylint: disable=too-many-instance-attributes
+class DfDataset(Dataset, ABC):  # pylint: disable=too-many-instance-attributes
     """Dataset for dataframes"""
 
     def __init__(  # ruff: noqa: PLR0913

niceml/data/datasets/genericdataset.py

@@ -1,4 +1,5 @@
 """module for generic dataset implementation"""
+from abc import ABC
 from typing import Dict, List, Optional
 
 
@@ -20,7 +21,7 @@
 )
 
 
-class GenericDataset(Dataset):
+class GenericDataset(Dataset, ABC):
     """Generic dataset implementation. This is a flexible dataset for multiple
     use cases. It can be used for classification, segmentation, object detection, etc.
     For specific frameworks, there are subclasses of this class, e.g. KerasGenericDataset