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README.md

@@ -15,8 +15,8 @@ pretty_name: Clir Matrix
 
 A massively large collection of bilingual and multilingual datasets for Cross-Lingual Information Retrieval extracted automatically from Wikipedia.
 CLIRMatrix (Cross-Lingual Information Retrieval Matrix) comprises:
-  (1) BI-139, a bilingual dataset of queries in one language matched with relevant documents in another language for 139x138=19,182 language pairs, and
-  (2) MULTI-8, a multilingual dataset of queries and documents jointly aligned in 8 different languages.
+(1) BI-139, a bilingual dataset of queries in one language matched with relevant documents in another language for 139x138=19,182 language pairs, and
+(2) MULTI-8, a multilingual dataset of queries and documents jointly aligned in 8 different languages.
 
 Only (1) BI-139 has languages covered in SEACROWD.
 
@@ -28,25 +28,25 @@ tgl, ilo, min, jav, sun, ceb, vie, tha
 ## Supported Tasks
 
 
-    
+
 ## Dataset Usage
 ### Using `datasets` library
 ```
-    from datasets import load_dataset
-    dset = datasets.load_dataset("SEACrowd/clir_matrix", trust_remote_code=True)
+from datasets import load_dataset
+dset = datasets.load_dataset("SEACrowd/clir_matrix", trust_remote_code=True)
 ```
 ### Using `seacrowd` library
 ```import seacrowd as sc
 # Load the dataset using the default config
-    dset = sc.load_dataset("clir_matrix", schema="seacrowd")
+dset = sc.load_dataset("clir_matrix", schema="seacrowd")
 # Check all available subsets (config names) of the dataset
-    print(sc.available_config_names("clir_matrix"))
+print(sc.available_config_names("clir_matrix"))
 # 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