Update README.md

README.md

@@ -45,11 +45,11 @@ size_categories:
 - 10K<n<100K
 ---
 
-# Silma STS Arabic/English Dataset - v1.0
+# SILMA STS Arabic/English Dataset - v1.0
 
 ## Overview
 
-The **Silma STS Arabic/English Dataset - v1.0** is a dataset designed for training and evaluating sentence embeddings for Arabic and English tasks. It consists of five different splits that cover monolingual and multilingual sentence pairs, with human-annotated similarity scores. The dataset includes both Arabic-to-Arabic and English-to-English pairs, as well as cross-lingual Arabic-English pairs, making it a valuable resource for multilingual and cross-lingual semantic similarity tasks.
+The **SILMA STS Arabic/English Dataset - v1.0** is a dataset designed for training and evaluating sentence embeddings for Arabic and English tasks. It consists of five different splits that cover monolingual and multilingual sentence pairs, with human-annotated similarity scores. The dataset includes both Arabic-to-Arabic and English-to-English pairs, as well as cross-lingual Arabic-English pairs, making it a valuable resource for multilingual and cross-lingual semantic similarity tasks.
 
 ## Dataset Structure
 
@@ -115,7 +115,7 @@ Each split in the dataset contains the following columns:
 
 ## Use Cases
 
-The **Silma STS Arabic/English Dataset - v1.0** can be used in various NLP tasks, including but not limited to:
+The **SILMA STS Arabic/English Dataset - v1.0** can be used in various NLP tasks, including but not limited to:
 
 1. **Sentence Embedding Training:** The dataset is well-suited for training models that generate sentence embeddings, enabling effective comparison of sentence-level semantics in both Arabic and English.
 2. **Multilingual and Cross-Lingual STS:** This dataset can be used for evaluating the performance of multilingual and cross-lingual sentence transformers, as it includes both monolingual and multilingual sentence pairs.