udpate readme

README.md

@@ -16,7 +16,7 @@ Data are sampled from "BIGPATENT: A Large-Scale Dataset for Abstractive and Cohe
  * See: https://aclanthology.org/P19-1212.pdf 
  * See: https://evasharma.github.io/bigpatent/
 
-It contains 11 slightly unbalanced classes, 35k Patents and abstracts divided into 3 splits: train (25k), val (5k) and test (5k). 
+It contains 9 unbalanced classes, 35k Patents and abstracts divided into 3 splits: train (25k), val (5k) and test (5k). 
 
 **Note that documents are uncased and space separated (by authors)**
 

patent-classification.py

@@ -9,10 +9,10 @@ _CITATION = None
 
 _DESCRIPTION = """
  Patent Classification Dataset: a classification of Patents (9 classes).
- It contains 9 unbalanced classes, 25k Patents and summaries divided into 3 splits: train (25k), val (5k) and test (5k).
- Copied from "Long Document Classification From Local Word Glimpses via Recurrent Attention Learning" by JUN HE LIQUN WANG LIU LIU, JIAO FENG AND HAO WU
- See: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8675939
- See: https://github.com/LiqunW/Long-document-dataset
+ It contains 9 unbalanced classes, 35k Patents and summaries divided into 3 splits: train (25k), val (5k) and test (5k).
+ Data are sampled from "BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization." by Eva Sharma, Chen Li and Lu Wang 
+ See: https://aclanthology.org/P19-1212.pdf 
+ See: https://evasharma.github.io/bigpatent/
 """
 
 _LABELS = [