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README.md

@@ -11,7 +11,7 @@ tags:
 ---
 
 
-The Thai Romanization dataset contains 648,241 Thai words     that were transliterated into English, making Thai     pronounciation easier for non-native Thai speakers.     This is a valuable dataset for Thai language learners     and researchers working on Thai language processing task.     Each word in the Thai Romanization dataset is paired with     its English phonetic representation, enabling accurate     pronunciation guidance. This facilitates the learning and     practice of Thai pronunciation for individuals who may not     be familiar with the Thai script. The dataset aids in improving     the accessibility and usability of Thai language resources,     supporting applications such as speech recognition, text-to-speech     synthesis, and machine translation. It enables the development of     Thai language tools that can benefit Thai learners, tourists,     and those interested in Thai culture and language.
+The Thai Romanization dataset contains 648,241 Thai wordsthat were transliterated into English, making Thaipronounciation easier for non-native Thai speakers.This is a valuable dataset for Thai language learnersand researchers working on Thai language processing task.Each word in the Thai Romanization dataset is paired withits English phonetic representation, enabling accuratepronunciation guidance. This facilitates the learning andpractice of Thai pronunciation for individuals who may notbe familiar with the Thai script. The dataset aids in improvingthe accessibility and usability of Thai language resources,supporting applications such as speech recognition, text-to-speechsynthesis, and machine translation. It enables the development ofThai language tools that can benefit Thai learners, tourists,and those interested in Thai culture and language.
 
 
 ## Languages
@@ -21,25 +21,25 @@ tha
 ## Supported Tasks
 
 Transliteration
-    
+
 ## Dataset Usage
 ### Using `datasets` library
 ```
-    from datasets import load_dataset
-    dset = datasets.load_dataset("SEACrowd/thai_romanization", trust_remote_code=True)
+from datasets import load_dataset
+dset = datasets.load_dataset("SEACrowd/thai_romanization", trust_remote_code=True)
 ```
 ### Using `seacrowd` library
 ```import seacrowd as sc
 # Load the dataset using the default config
-    dset = sc.load_dataset("thai_romanization", schema="seacrowd")
+dset = sc.load_dataset("thai_romanization", schema="seacrowd")
 # Check all available subsets (config names) of the dataset
-    print(sc.available_config_names("thai_romanization"))
+print(sc.available_config_names("thai_romanization"))
 # 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