Update README.md

README.md

@@ -64,7 +64,7 @@ It is important to add the prefixes \<query\>: and \<passage\>: to your queries
 from sentence_transformers import SentenceTransformer
 
 # Download from the 🤗 Hub
-model = SentenceTransformer("omarelshehy/Arabic-retrieval-v1.0")
+model = SentenceTransformer("omarelshehy/Arabic-Retrieval-v1.0")
 
 # Query 
 query = "<query>: كيف يمكن للذكاء الاصطناعي تحسين طرق التدريس التقليدية؟"
@@ -116,12 +116,12 @@ You can finetune this model on your own dataset.
 This model has been ealuated using 3 different datasets and the NDCG@10 metric
 - Dataset 1: [castorini/mr-tydi](https://huggingface.co/datasets/castorini/mr-tydi)
 - Dataset 2: [Omartificial-Intelligence-Space/Arabic-finanical-rag-embedding-dataset](https://huggingface.co/datasets/Omartificial-Intelligence-Space/Arabic-finanical-rag-embedding-dataset)
-- Dataset 1: [sadeem-ai/sadeem-ar-eval-retrieval-questions](https://huggingface.co/datasets/sadeem-ai/sadeem-ar-eval-retrieval-questions)
+- Dataset 3: [sadeem-ai/sadeem-ar-eval-retrieval-questions](https://huggingface.co/datasets/sadeem-ai/sadeem-ar-eval-retrieval-questions)
  and is compared to other highly performant models:
 
 | **model**                           |   **1**   |    **2**     |    **3**    |
 |-------------------------------------|-----------|--------------|-------------|
-| Arabic-retrieval-v1.0               |   0.875   |   **0.72**   |     0.679   | 
+| Arabic-Retrieval-v1.0               |   0.875   |   **0.72**   |     0.679   | 
 | intfloat/multilingual-e5-large      |  **0.89** |     0.719    |   **0.698** |
 | intfloat/multilingual-e5-base       |   0.87    |     0.69     |     0.686   |