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@@ -32,6 +32,7 @@ dataset_info:
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  This dataset is based on the translated MMARCO dataset.
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  500k queries (from [queries](https://huggingface.co/datasets/akhooli/ar_mmarco_queries)) were selected and scored against 32 documents each
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  (based on English scores) from
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- [Ar MMARCO Docs](https://huggingface.co/datasets/akhooli/ar_mmarco_docs) (translated) using JinaAI multilingual reranker.
 
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  The dataset can be used to train knowledge distillation ColBERT models and some are available under the models section.
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  Note: translation quality is not good enough and scores are not spread apart. Some statistics were applied to curate a subset with wide distribution but this is not enough.
 
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  This dataset is based on the translated MMARCO dataset.
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  500k queries (from [queries](https://huggingface.co/datasets/akhooli/ar_mmarco_queries)) were selected and scored against 32 documents each
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  (based on English scores) from
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+ [Ar MMARCO Docs](https://huggingface.co/datasets/akhooli/ar_mmarco_docs) (translated) using JinaAI multilingual reranker. The stats columns (mean, std and maxmin) are used to
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+ curate subsets for training.
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  The dataset can be used to train knowledge distillation ColBERT models and some are available under the models section.
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  Note: translation quality is not good enough and scores are not spread apart. Some statistics were applied to curate a subset with wide distribution but this is not enough.