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First version of Arabic ColBERT.
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This model was trained on 100K random triplets of the [mMARCO dataset](https://huggingface.co/datasets/unicamp-dl/mmarco) which has around 39M Arabic (translated) triplets.
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mMARCO is the multiligual version of [Microsoft's MARCO dataset](https://microsoft.github.io/msmarco/).
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See https://www.linkedin.com/posts/akhooli_this-is-probably-the-first-arabic-colbert-activity-7217969205197848576-l8Cy
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First version of Arabic ColBERT.
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This model was trained on 100K random triplets of the [mMARCO dataset](https://huggingface.co/datasets/unicamp-dl/mmarco) which has around 39M Arabic (translated) triplets.
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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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See https://www.linkedin.com/posts/akhooli_this-is-probably-the-first-arabic-colbert-activity-7217969205197848576-l8Cy
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