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README.md

@@ -13,8 +13,8 @@ tags:
 - image-captioning
 ---
 
-    CC3M-35L is created by translating Conceptual Captions 3M (Sharma et al., 2018),
-    originally in English, to the other 34 languages using Google's machine translation API.
+CC3M-35L is created by translating Conceptual Captions 3M (Sharma et al., 2018),
+originally in English, to the other 34 languages using Google's machine translation API.
 
 
 This is a local dataset. You have to obtain this dataset separately from [{homepage}]({homepage}) to use this dataloader.
@@ -26,25 +26,25 @@ fil, ind, tha, vie
 ## Supported Tasks
 
 Image Captioning
-    
+
 ## Dataset Usage
 ### Using `datasets` library
 ```
-    from datasets import load_dataset
-    dset = datasets.load_dataset("SEACrowd/cc3m_35l", trust_remote_code=True)
+from datasets import load_dataset
+dset = datasets.load_dataset("SEACrowd/cc3m_35l", trust_remote_code=True)
 ```
 ### Using `seacrowd` library
 ```import seacrowd as sc
 # Load the dataset using the default config
-    dset = sc.load_dataset("cc3m_35l", schema="seacrowd")
+dset = sc.load_dataset("cc3m_35l", schema="seacrowd")
 # Check all available subsets (config names) of the dataset
-    print(sc.available_config_names("cc3m_35l"))
+print(sc.available_config_names("cc3m_35l"))
 # 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