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README.md

@@ -11,22 +11,22 @@ tags:
 
 IndQNER is a NER dataset created by manually annotating the Indonesian translation of Quran text.
 The dataset contains 18 named entity categories as follow:
-    "Allah": Allah (including synonim of Allah such as Yang maha mengetahui lagi mahabijaksana)
-    "Throne": Throne of Allah (such as 'Arasy)
-    "Artifact": Artifact (such as Ka'bah, Baitullah)
-    "AstronomicalBody": Astronomical body (such as bumi, matahari)
-    "Event": Event (such as hari akhir, kiamat)
-    "HolyBook": Holy book (such as AlQur'an)
-    "Language": Language (such as bahasa Arab
-    "Angel": Angel (such as Jibril, Mikail)
-    "Person": Person (such as Bani Israil, Fir'aun)
-    "Messenger": Messenger (such as Isa, Muhammad, Musa)
-    "Prophet": Prophet (such as Adam, Sulaiman)
-    "AfterlifeLocation": Afterlife location (such as Jahanam, Jahim, Padang Mahsyar)
-    "GeographicalLocation": Geographical location (such as Sinai, negeru Babilonia)
-    "Color": Color (such as kuning tua)
-    "Religion": Religion (such as Islam, Yahudi, Nasrani)
-    "Food": Food (such as manna, salwa)
+"Allah": Allah (including synonim of Allah such as Yang maha mengetahui lagi mahabijaksana)
+"Throne": Throne of Allah (such as 'Arasy)
+"Artifact": Artifact (such as Ka'bah, Baitullah)
+"AstronomicalBody": Astronomical body (such as bumi, matahari)
+"Event": Event (such as hari akhir, kiamat)
+"HolyBook": Holy book (such as AlQur'an)
+"Language": Language (such as bahasa Arab
+"Angel": Angel (such as Jibril, Mikail)
+"Person": Person (such as Bani Israil, Fir'aun)
+"Messenger": Messenger (such as Isa, Muhammad, Musa)
+"Prophet": Prophet (such as Adam, Sulaiman)
+"AfterlifeLocation": Afterlife location (such as Jahanam, Jahim, Padang Mahsyar)
+"GeographicalLocation": Geographical location (such as Sinai, negeru Babilonia)
+"Color": Color (such as kuning tua)
+"Religion": Religion (such as Islam, Yahudi, Nasrani)
+"Food": Food (such as manna, salwa)
 
 
 ## Languages
@@ -36,25 +36,25 @@ ind
 ## Supported Tasks
 
 Named Entity Recognition
-    
+
 ## Dataset Usage
 ### Using `datasets` library
 ```
-    from datasets import load_dataset
-    dset = datasets.load_dataset("SEACrowd/IndQNER", trust_remote_code=True)
+from datasets import load_dataset
+dset = datasets.load_dataset("SEACrowd/IndQNER", trust_remote_code=True)
 ```
 ### Using `seacrowd` library
 ```import seacrowd as sc
 # Load the dataset using the default config
-    dset = sc.load_dataset("IndQNER", schema="seacrowd")
+dset = sc.load_dataset("IndQNER", schema="seacrowd")
 # Check all available subsets (config names) of the dataset
-    print(sc.available_config_names("IndQNER"))
+print(sc.available_config_names("IndQNER"))
 # 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