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 ## Dataset Summary
 
-The Arabic Hard Negative Dataset is derived from the Arabic subset of the Mr. TyDi dataset. Using an advanced Arabic embedding model, this dataset restructures the original data to include a query, a positive passage, and the top 4 hard negatives for each query based on similarity scores. These hard negatives are the most semantically similar non-relevant passages to the positive passage, providing a challenging dataset for retrieval and re-ranking tasks.
+The Arabic Hard Negative Dataset is derived from the Arabic subset of the Mr. TyDi dataset [Mr. TyDi dataset](https://huggingface.co/datasets/castorini/mr-tydi). Using an advanced Arabic embedding model [GATE](Omartificial-Intelligence-Space/GATE-AraBert-v1), this dataset restructures the original data to include a query, a positive passage, and the top 4 hard negatives for each query based on similarity scores. These hard negatives are the most semantically similar non-relevant passages to the positive passage, providing a challenging dataset for retrieval and re-ranking tasks.
 This dataset is tailored for applications in retrieval model training, re-ranking, and contrastive learning where the presence of "hard negatives" can significantly improve the performance of machine learning models.
 
 ## Dataset Structure