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README.md

@@ -12,13 +12,13 @@ tags:
 
 This dataset is designed for named entity recognition (NER) tasks in the Bahasa Indonesia tourism domain. It contains labeled sequences of named entities, including locations, facilities, and tourism-related entities. The dataset is annotated with the following entity types:
 
-    O (0)    : Non-entity or other words not falling into the specified categories.
-    B-WIS (1): Beginning of a tourism-related entity.
-    I-WIS (2): Continuation of a tourism-related entity.
-    B-LOC (3): Beginning of a location entity.
-    I-LOC (4): Continuation of a location entity.
-    B-FAS (5): Beginning of a facility entity.
-    I-FAS (6): Continuation of a facility entity.
+O (0): Non-entity or other words not falling into the specified categories.
+B-WIS (1): Beginning of a tourism-related entity.
+I-WIS (2): Continuation of a tourism-related entity.
+B-LOC (3): Beginning of a location entity.
+I-LOC (4): Continuation of a location entity.
+B-FAS (5): Beginning of a facility entity.
+I-FAS (6): Continuation of a facility entity.
 
 
 ## Languages
@@ -28,25 +28,25 @@ ind
 ## Supported Tasks
 
 Named Entity Recognition
-    
+
 ## Dataset Usage
 ### Using `datasets` library
 ```
-    from datasets import load_dataset
-    dset = datasets.load_dataset("SEACrowd/indoner_tourism", trust_remote_code=True)
+from datasets import load_dataset
+dset = datasets.load_dataset("SEACrowd/indoner_tourism", trust_remote_code=True)
 ```
 ### Using `seacrowd` library
 ```import seacrowd as sc
 # Load the dataset using the default config
-    dset = sc.load_dataset("indoner_tourism", schema="seacrowd")
+dset = sc.load_dataset("indoner_tourism", schema="seacrowd")
 # Check all available subsets (config names) of the dataset
-    print(sc.available_config_names("indoner_tourism"))
+print(sc.available_config_names("indoner_tourism"))
 # 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