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README.md

@@ -10,7 +10,7 @@ tags:
 - self-supervised-pretraining
 ---
 
-    A thoroughly cleaned version of the Indonesia split of the multilingual colossal, cleaned version of Common Crawl's web crawl corpus (mC4). This portion represents the Indonesian language content that has been extracted and processed from the larger mC4 dataset. The extraction and cleaning process was conducted by AllenAI and resulted in a curated collection of Indonesian language data. For more information about the original mC4 dataset and its preparation, please refer to the source hosted at the address https://huggingface.co/datasets/allenai/c4.
+A thoroughly cleaned version of the Indonesia split of the multilingual colossal, cleaned version of Common Crawl's web crawl corpus (mC4). This portion represents the Indonesian language content that has been extracted and processed from the larger mC4 dataset. The extraction and cleaning process was conducted by AllenAI and resulted in a curated collection of Indonesian language data. For more information about the original mC4 dataset and its preparation, please refer to the source hosted at the address https://huggingface.co/datasets/allenai/c4.
 
 
 ## Languages
@@ -20,25 +20,25 @@ ind
 ## Supported Tasks
 
 Self Supervised Pretraining
-    
+
 ## Dataset Usage
 ### Using `datasets` library
 ```
-    from datasets import load_dataset
-    dset = datasets.load_dataset("SEACrowd/mc4_indo", trust_remote_code=True)
+from datasets import load_dataset
+dset = datasets.load_dataset("SEACrowd/mc4_indo", trust_remote_code=True)
 ```
 ### Using `seacrowd` library
 ```import seacrowd as sc
 # Load the dataset using the default config
-    dset = sc.load_dataset("mc4_indo", schema="seacrowd")
+dset = sc.load_dataset("mc4_indo", schema="seacrowd")
 # Check all available subsets (config names) of the dataset
-    print(sc.available_config_names("mc4_indo"))
+print(sc.available_config_names("mc4_indo"))
 # 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