Update README.md

README.md

@@ -17,13 +17,13 @@ pretty_name: UTCD
 ## Load dataset 
 ```python
 from datasets import load_dataset
-dataset = load_dataset('claritylab/utcd', name='aspect-normalized-in-domain')
+dataset = load_dataset('claritylab/utcd', name='in-domain')
 ```
 
 ## Description 
 UTCD is a curated compilation of 18 datasets revised for Zero-shot Text Classification spanning 3 aspect categories of Sentiment, Intent/Dialogue, and Topic classification. UTCD focuses on the task of zero-shot text classification where the candidate labels are descriptive of the text being classified. TUTCD consists of ~ 6M/800K train/test examples.
 
-UTCD was introduced in the Findings of ACL'23 Paper **Label Agnostic Pre-training for Zero-shot Text Classification** by ***Christopher Clarke, Yuzhao Heng, Yiping Kang, Krisztian Flautner, Lingjia Tang and Jason Mars***. 
+UTCD was introduced in the Findings of ACL'23 Paper **Label Agnostic Pre-training for Zero-shot Text Classification** by ***Christopher Clarke, Yuzhao Heng, Yiping Kang, Krisztian Flautner, Lingjia Tang and Jason Mars***. [Project Homepage](https://github.com/ChrisIsKing/zero-shot-text-classification/tree/master). 
 
 UTCD Datasets & Principles: