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mMARCO is the multiligual version of [Microsoft's MARCO dataset](https://microsoft.github.io/msmarco/).
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Training used the [Ragatouille library](https://github.com/bclavie/RAGatouille/blob/main/examples/02-basic_training.ipynb) using
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[Lightning AI](https://lightning.ai/).
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If you downloaded the model before July 15th 1 pm (Jerusalem time), please try the current version.
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Use the [Ragatouille examples](https://github.com/bclavie/RAGatouille/blob/main/examples/01-basic_indexing_and_search.ipynb) to learn more,
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mMARCO is the multiligual version of [Microsoft's MARCO dataset](https://microsoft.github.io/msmarco/).
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Training used the [Ragatouille library](https://github.com/bclavie/RAGatouille/blob/main/examples/02-basic_training.ipynb) using
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[Lightning AI](https://lightning.ai/) with [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) as base model.
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If you downloaded the model before July 15th 1 pm (Jerusalem time), please try the current version.
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Use the [Ragatouille examples](https://github.com/bclavie/RAGatouille/blob/main/examples/01-basic_indexing_and_search.ipynb) to learn more,
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