debugging

KHATT.py

@@ -17,22 +17,18 @@ import datasets
 
 
 _CITATION = """\
-@article{imagenet15russakovsky,
-    Author = {Olga Russakovsky and Jia Deng and Hao Su and Jonathan Krause and Sanjeev Satheesh and Sean Ma and Zhiheng Huang and Andrej Karpathy and Aditya Khosla and Michael Bernstein and Alexander C. Berg and Li Fei-Fei},
-    Title = { {ImageNet Large Scale Visual Recognition Challenge} },
-    Year = {2015},
-    journal   = {International Journal of Computer Vision (IJCV)},
-    doi = {10.1007/s11263-015-0816-y},
-    volume={115},
-    number={3},
-    pages={211-252}
+@article{Pattern Recognition,
+    Author = {bri A. Mahmoud, Irfan Ahmad, Wasfi G. Al-Khatib, Mohammad Alshayeb, Mohammad Tanvir Parvez, Volker Märgner, Gernot A. Fink},
+    Title = { {KHATT: An Open Arabic Offline Handwritten Text Database} },
+    Year = {2013},
+    doi = {10.1016/j.patcog.2013.08.009},
 }
 """
 
 _HOMEPAGE = "https://khatt.ideas2serve.net/KHATTAgreement.php"
 
 _DESCRIPTION = """\
-ILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". There are more than 100,000 synsets in WordNet, majority of them are nouns (80,000+). ImageNet aims to provide on average 1000 images to illustrate each synset. Images of each concept are quality-controlled and human-annotated. In its completion, ImageNet hopes to offer tens of millions of cleanly sorted images for most of the concepts in the WordNet hierarchy. ImageNet 2012 is the most commonly used subset of ImageNet. This dataset spans 1000 object classes and contains 1,281,167 training images, 50,000 validation images and 100,000 test images
+KHATT (KFUPM Handwritten Arabic TexT) database is a database of unconstrained handwritten Arabic Text written by 1000 different writers. This research database’s development was undertaken by a research group from KFUPM, Dhahran, S audi Arabia headed by Professor Sabri Mahmoud in collaboration with Professor Fink from TU-Dortmund, Germany and Dr. Märgner from TU-Braunschweig, Germany.
 """
 
 _DATA_URL = {