update readme.md

README.md

@@ -6,6 +6,7 @@ tags:
 - Arabic
 - Evaluation
 - include
+- datasets
 pretty_name: refine-Arabic-base-44-include-dataset
 size_categories:
 - 1K<n<10K
@@ -36,6 +37,7 @@ This refined version addresses foundational errors and enhances the overall qual
 During the review, we identified the following key issues in the original Arabic dataset:
 
 ◾️ Spelling Errors:
+
 ◾️ Example: Words were written incorrectly, often to the point where they were unreadable, even by native speakers.
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/628f7a71dd993507cfcbe587/_4RWiZTboeWqU9Vb2Tqv3.png)
@@ -43,16 +45,19 @@ During the review, we identified the following key issues in the original Arabic
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/628f7a71dd993507cfcbe587/3xYZDKx23kfjKtwr9WiWb.png)
 
 ◾️ Incorrect Answers:
+
 ◾️ Example: A question asking about a good trait of Arabs before Islam had the worst possible trait listed as the correct answer.
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/628f7a71dd993507cfcbe587/UlFEwKm1TMjLS3VQJwFsw.png)
 
 ◾️ Ambiguity in Choices:
+
 ◾️ Example: Some questions had identical or nonsensical options, making it impossible to determine the correct answer logically.
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/628f7a71dd993507cfcbe587/eMDqllkhEIpXyTvrLzmUr.png)
 
 ◾️ Misleading Questions:
+
 ◾️ Example: Questions framed in ways that conveyed misleading or outright wrong information about Islamic teachings or Arabic culture.
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/628f7a71dd993507cfcbe587/1g2W45bzdiy6im5YMm3_v.png)
@@ -74,6 +79,4 @@ This refined version of the Arabic portion of the INCLUDE dataset resolves these
 🔸 **Misleading Information Removed:** All misleading or factually incorrect content has been corrected.
 
 
-This refined Arabic dataset is a significant improvement over the original version, ensuring that it meets the standards required for evaluating multilingual large language models (LLMs). By addressing spelling errors, correcting factual inaccuracies, and eliminating ambiguity, this dataset now provides a reliable benchmark for Arabic LLM evaluation.
-
-
+This refined Arabic dataset is a significant improvement over the original version, ensuring that it meets the standards required for evaluating multilingual large language models (LLMs). By addressing spelling errors, correcting factual inaccuracies, and eliminating ambiguity, this dataset now provides a reliable benchmark for Arabic LLM evaluation.