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README.md

@@ -10,7 +10,7 @@ tags:
 - machine-translation
 ---
 
-MULTISPIDER, the largest multilingual text-to-SQL dataset which covers     seven languages (English, German, French, Spanish, Japanese,     Chinese, and Vietnamese). Upon MULTISPIDER, we further identify     the lexical and structural challenges of text-to-SQL (caused by     specific language properties and dialect sayings) and their     intensity across different languages.
+MULTISPIDER, the largest multilingual text-to-SQL dataset which coversseven languages (English, German, French, Spanish, Japanese,Chinese, and Vietnamese). Upon MULTISPIDER, we further identifythe lexical and structural challenges of text-to-SQL (caused byspecific language properties and dialect sayings) and theirintensity across different languages.
 
 
 ## Languages
@@ -20,25 +20,25 @@ vie
 ## Supported Tasks
 
 Machine Translation
-    
+
 ## Dataset Usage
 ### Using `datasets` library
 ```
-    from datasets import load_dataset
-    dset = datasets.load_dataset("SEACrowd/multispider", trust_remote_code=True)
+from datasets import load_dataset
+dset = datasets.load_dataset("SEACrowd/multispider", trust_remote_code=True)
 ```
 ### Using `seacrowd` library
 ```import seacrowd as sc
 # Load the dataset using the default config
-    dset = sc.load_dataset("multispider", schema="seacrowd")
+dset = sc.load_dataset("multispider", schema="seacrowd")
 # Check all available subsets (config names) of the dataset
-    print(sc.available_config_names("multispider"))
+print(sc.available_config_names("multispider"))
 # 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