Update README.md

README.md

@@ -4,13 +4,21 @@ Korean sentiment classification dataset
 - Size: 460K(+180K)
 - Language: Korean-centric
 
+### Usage
+```python
+from datasets import load_dataset
+
+kr3 = load_dataset("Wittgensteinian/KR3", name='kr3', split='train')
+```
+
+
 ### ⚠️ Caution with `Rating` Column
 0 stands for negative review, 1 stands for positive review, and 2 stands for ambiguous review.  
 **Note that rating 2 is not intended to be used directly for supervised learning(classification).** This data is included for additional pre-training purpose or other usage.  
-In other words, this dataset is basically a **binary** sentiment classficiation task where labels are 0 and 1.  
+In other words, this dataset is basically a **binary** sentiment classification task where labels are 0 and 1.  
 
 ### 🔍 See More
-See all the codes for crwaling/preprocessing the dataset and experiments with KR3 in [Gitlab Repo](https://gitlab.com/Wittgensteinian/kr3).  
+See all the codes for crawling/preprocessing the dataset and experiments with KR3 in [Gitlab Repo](https://gitlab.com/Wittgensteinian/kr3).  
 See Kaggle dataset in [Kaggle Dataset](https://www.kaggle.com/ninetyninenewton/kr3-korean-restaurant-reviews-with-ratings).
 
 ### Legal Issues