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README.md

@@ -9,7 +9,7 @@ tags:
 - word-analogy
 ---
 
-We introduced KaWAT (Kata Word Analogy  Task), a new word analogy task dataset for Indonesian. 
+We introduced KaWAT (Kata Word AnalogyTask), a new word analogy task dataset for Indonesian. 
 We evaluated on it several existing pretrained Indonesian word embeddings and embeddings trained on Indonesian online news corpus. 
 We also tested them on two downstream tasks and found that pretrained word embeddings helped either by reducing the training epochs
 or yielding significant performance gains.
@@ -22,25 +22,25 @@ ind
 ## Supported Tasks
 
 Word Analogy
-    
+
 ## Dataset Usage
 ### Using `datasets` library
 ```
-    from datasets import load_dataset
-    dset = datasets.load_dataset("SEACrowd/kawat", trust_remote_code=True)
+from datasets import load_dataset
+dset = datasets.load_dataset("SEACrowd/kawat", trust_remote_code=True)
 ```
 ### Using `seacrowd` library
 ```import seacrowd as sc
 # Load the dataset using the default config
-    dset = sc.load_dataset("kawat", schema="seacrowd")
+dset = sc.load_dataset("kawat", schema="seacrowd")
 # Check all available subsets (config names) of the dataset
-    print(sc.available_config_names("kawat"))
+print(sc.available_config_names("kawat"))
 # Load the dataset using a specific config
-    dset = sc.load_dataset_by_config_name(config_name="<config_name>")
+dset = sc.load_dataset_by_config_name(config_name="<config_name>")
 ```
-    
-    More details on how to load the `seacrowd` library can be found [here](https://github.com/SEACrowd/seacrowd-datahub?tab=readme-ov-file#how-to-use).
-    
+
+More details on how to load the `seacrowd` library can be found [here](https://github.com/SEACrowd/seacrowd-datahub?tab=readme-ov-file#how-to-use).
+
 
 ## Dataset Homepage