diff --git a/chebai/preprocessing/datasets/chebi.py b/chebai/preprocessing/datasets/chebi.py
index 64036d4e..6e452d6b 100644
--- a/chebai/preprocessing/datasets/chebi.py
+++ b/chebai/preprocessing/datasets/chebi.py
@@ -9,6 +9,7 @@
 from itertools import cycle, permutations, product
 from typing import TYPE_CHECKING, Any, Generator, Literal, Optional
 
+from networkx import DiGraph
 import numpy as np
 import pandas as pd
 from rdkit import Chem
@@ -519,6 +520,45 @@ def processed_file_names_dict(self) -> dict:
         return {"data": f"aug_data_var{self.aug_smiles_variations}.pt"}
 
 
+class ChEBIFromList(_ChEBIDataExtractor):
+    """
+    A ChEBI dataset where labels are selected from a predefined list of classes.
+
+    """
+
+    READER = dr.ChemDataReader
+
+    def __init__(
+        self,
+        class_list,
+        **kwargs,
+    ):
+        """
+        Initializes the ChEBIFromList dataset.
+
+        Args:
+            class_list: Path to a list of class IDs to be used as labels in the dataset.
+            **kwargs: Additional keyword arguments passed to the superclass initializer
+        """
+        with open(class_list, "r") as f:
+            class_list = [line.strip() for line in f if line.strip()]
+        self.class_list = class_list
+        super().__init__(**kwargs)
+
+    @property
+    def _name(self) -> str:
+        """
+        Returns the name of the dataset.
+
+        Returns:
+            str: The dataset name.
+        """
+        return "ChEBI_from_list"
+
+    def select_classes(self, g: DiGraph, *args, **kwargs) -> List:
+        return self.class_list
+      
+      
 class ChEBIOverX(_ChEBIDataExtractor):
     """
     A class for extracting data from the ChEBI dataset with a threshold for selecting classes.