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README.md

@@ -24,7 +24,7 @@ The wikiann dataset contains NER tags with labels from O (0), B-PER (1), I-PER (
 WikiANN (sometimes called PAN-X) is a multilingual named entity recognition dataset consisting of Wikipedia articles
  annotated with LOC (location), PER (person), and ORG (organisation)
  tags in the IOB2 format. This version corresponds to the balanced train, dev, and test splits of
-  Rahimi et al. (2019), and uses the following subsets from the original WikiANN corpus
+Rahimi et al. (2019), and uses the following subsets from the original WikiANN corpus
 
 Language	WikiAnn	ISO 639-3
 Indonesian	id	ind
@@ -50,25 +50,25 @@ ind, jav, min, sun, ace, zlm, map-bms, mya, tgl, tha, vie, khm
 ## Supported Tasks
 
 Named Entity Recognition
-    
+
 ## Dataset Usage
 ### Using `datasets` library
 ```
-    from datasets import load_dataset
-    dset = datasets.load_dataset("SEACrowd/wikiann", trust_remote_code=True)
+from datasets import load_dataset
+dset = datasets.load_dataset("SEACrowd/wikiann", trust_remote_code=True)
 ```
 ### Using `seacrowd` library
 ```import seacrowd as sc
 # Load the dataset using the default config
-    dset = sc.load_dataset("wikiann", schema="seacrowd")
+dset = sc.load_dataset("wikiann", schema="seacrowd")
 # Check all available subsets (config names) of the dataset
-    print(sc.available_config_names("wikiann"))
+print(sc.available_config_names("wikiann"))
 # 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