Upload README.md with huggingface_hub

README.md

@@ -11,14 +11,14 @@ tags:
 ---
 
 A dataset of Indonesian News for Named-Entity Recognition task.
-  This dataset re-annotated the dataset previously provided by Syaifudin & Nurwidyantoro (2016)
-  (https://github.com/yusufsyaifudin/Indonesia-ner) with a more standardized NER tags.
-  There are three subsets, namely train.txt, dev.txt, and test.txt.
-  Each file consists of three columns which are Tokens, PoS Tag, and NER Tag respectively.
-  The format is following CoNLL dataset. The NER tag use the IOB format.
-  The PoS tag using UDPipe (http://ufal.mff.cuni.cz/udpipe),
-  a pipeline for tokenization, tagging, lemmatization and dependency parsing
-  whose model is trained on UD Treebanks.
+This dataset re-annotated the dataset previously provided by Syaifudin & Nurwidyantoro (2016)
+(https://github.com/yusufsyaifudin/Indonesia-ner) with a more standardized NER tags.
+There are three subsets, namely train.txt, dev.txt, and test.txt.
+Each file consists of three columns which are Tokens, PoS Tag, and NER Tag respectively.
+The format is following CoNLL dataset. The NER tag use the IOB format.
+The PoS tag using UDPipe (http://ufal.mff.cuni.cz/udpipe),
+a pipeline for tokenization, tagging, lemmatization and dependency parsing
+whose model is trained on UD Treebanks.
 
 
 ## 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/idner_news_2k", trust_remote_code=True)
+from datasets import load_dataset
+dset = datasets.load_dataset("SEACrowd/idner_news_2k", trust_remote_code=True)
 ```
 ### Using `seacrowd` library
 ```import seacrowd as sc
 # Load the dataset using the default config
-    dset = sc.load_dataset("idner_news_2k", schema="seacrowd")
+dset = sc.load_dataset("idner_news_2k", schema="seacrowd")
 # Check all available subsets (config names) of the dataset
-    print(sc.available_config_names("idner_news_2k"))
+print(sc.available_config_names("idner_news_2k"))
 # 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