Update README.md

README.md

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 # Dataset Card for "Masked Arab States Dataset (MASD)"
-This dataset is created using 20 Arab states<sup>1</sup> with their corresponding capital cities, nationalities, currencies, and on which continents they are located, consisting of four categories: country-capital
+This dataset is created using 20 Arab States<sup>1</sup> with their corresponding capital cities, nationalities, currencies, and on which continents they are located, consisting of four categories: country-capital
 prompts, country-currency prompts, country-nationality prompts, and country-continent prompts. Each prompts category has 40 masked prompts, and the total number of masked prompts in the MASD dataset is 160. This dataset is used to evaluate these Arabic Masked Language Models (MLMs):
 1. [SaiedAlshahrani/arwiki_20230101_roberta_mlm_bots](https://huggingface.co/SaiedAlshahrani/arwiki_20230101_roberta_mlm_bots).
 2. [SaiedAlshahrani/arwiki_20230101_roberta_mlm_nobots](https://huggingface.co/SaiedAlshahrani/arwiki_20230101_roberta_mlm_nobots).
@@ -34,4 +34,4 @@ For more details about the dataset, please **read** and **cite** our paper:
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-1. We only drop two Arab states: the United Arab Emirates (الإمارات العربية المتحدة) and Comoros (جزر القمر), because they or their capital cities are written as open compound words (two words), which cannot be directly handled by the word embedding models, like Abu Dhabi (أبو ظبي).
+1 We only drop two Arab states: the United Arab Emirates (الإمارات العربية المتحدة) and Comoros (جزر القمر), because they or their capital cities are written as open compound words (two words), which cannot be directly handled by the word embedding models, like Abu Dhabi (أبو ظبي).