Update README.md

README.md

@@ -33,7 +33,7 @@ The 101 Billion Arabic Words Dataset is curated by the Clusterlab team and consi
 
 ### Direct Use
 
-The dataset is suitable for training and fine-tuning models that perform a variety of NLP tasks in Arabic, including text classification, sentiment analysis, and machine translation. Its vast size and comprehensive coverage of Arabic text make it a valuable resource for developing robust language models.
+The dataset is suitable for training and fine-tuning models that perform a variety of NLP tasks in Arabic, including text classification, sentiment analysis, and machine translation. Its vast size and comprehensive coverage of Arabic text make it a valuable resource for developing language models.
 
 ### Out-of-Scope Use
 
@@ -53,13 +53,13 @@ The dataset is not intended for uses that require personal or sensitive data as
 
 ### Curation Rationale
 
-This dataset was created to address the significant lack of large-scale, high-quality datasets for the Arabic language in NLP research and application development. It aims to provide a robust foundation for developing more accurate and efficient Arabic language models.
+This dataset was created to address the significant lack of large-scale, high-quality datasets for the Arabic language in NLP research and application development. It aims to provide a foundation for developing more accurate and efficient Arabic language models.
 
 ### Source Data
 
 #### Data Collection and Processing
 
-Data was collected from the Common Crawl archive, focusing on Arabic content within a specified time frame. The data underwent extensive cleaning and deduplication processes to ensure quality and relevance.
+Data was collected from the Common Crawl archive, focusing on Arabic content within a specified time frame. The data went through extensive cleaning and deduplication processes to ensure quality and relevance.
 
 #### Who are the source data producers?