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  ## Dataset Summary
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- 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.
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- 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.
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  ## Dataset Structure
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  ## Dataset Summary
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+ 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.
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+ 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.
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  ## Dataset Structure
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