Update dga-detection.py

dga-detection.py

@@ -2,12 +2,22 @@ import datasets
 import pandas as pd
 import os
 
+_DESCRIPTION = """\
+A dataset containing both DGA and normal domain names. The normal domain names were taken from the Alexa top one million domains. An additional 3,161 normal 
+domains were included in the dataset, provided by the Bambenek Consulting feed. This later group is particularly interesting since it consists of suspicious domain 
+names that were not generated by DGA. Therefore, the total amount of domains normal in the dataset is 1,003,161. DGA domains were obtained from the repositories 
+of DGA domains of Andrey Abakumov and John Bambenek. The total amount of DGA domains is 1,915,335, and they correspond to 51 different malware families. DGA domains 
+were generated by 51 different malware families. About the 55% of of the DGA portion of dataset is composed of samples from the Banjori, Post, Timba, Cryptolocker, 
+Ramdo and Conficker malware.
+"""
+
+_HOMEPAGE = "https://https://huggingface.co/datasets/harpomaxx/dga-detection"
 
 class MyDataset(datasets.GeneratorBasedBuilder):
     def _info(self):
 
         return datasets.DatasetInfo(
-            description="DESCRIPTION",
+            description=_DESCRIPTION,
             features=datasets.Features(
                 {"domain": datasets.Value("string"), "label": datasets.Value("string")}
             ),