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README.md

@@ -11,7 +11,7 @@ tags:
 ---
 
 
-Corpus-based dictionary of Thai and English languages.     This dataset contains frequently-used words from trusted     publications such as novels, academic documents and newspaper.     The dataset link contains Thai-English and English-Thai lexicons.     Thai-English vocabulary consists of vocabulary, type of word     (part of speech), translation, synonym (synonym) and sample sentences     with a list of Thai-> English words, 53,000 words and English vocabulary     list -> Thai, 83,000 words.
+Corpus-based dictionary of Thai and English languages.This dataset contains frequently-used words from trustedpublications such as novels, academic documents and newspaper.The dataset link contains Thai-English and English-Thai lexicons.Thai-English vocabulary consists of vocabulary, type of word(part of speech), translation, synonym (synonym) and sample sentenceswith a list of Thai-> English words, 53,000 words and English vocabularylist -> Thai, 83,000 words.
 
 
 ## Languages
@@ -21,25 +21,25 @@ tha
 ## Supported Tasks
 
 Machine Translation
-    
+
 ## Dataset Usage
 ### Using `datasets` library
 ```
-    from datasets import load_dataset
-    dset = datasets.load_dataset("SEACrowd/lexitron", trust_remote_code=True)
+from datasets import load_dataset
+dset = datasets.load_dataset("SEACrowd/lexitron", trust_remote_code=True)
 ```
 ### Using `seacrowd` library
 ```import seacrowd as sc
 # Load the dataset using the default config
-    dset = sc.load_dataset("lexitron", schema="seacrowd")
+dset = sc.load_dataset("lexitron", schema="seacrowd")
 # Check all available subsets (config names) of the dataset
-    print(sc.available_config_names("lexitron"))
+print(sc.available_config_names("lexitron"))
 # 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