Update README.md

README.md

@@ -12,7 +12,15 @@ multilinguality:
 - monolingual
 pretty_name: UTCD
 ---
-## Universal Text Classification Dataset (UTCD)
+# Universal Text Classification Dataset (UTCD)
+
+## Load dataset 
+```python
+from datasets import load_dataset
+dataset = load_dataset('claritylab/utcd', name='aspect-normalized-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***.