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  # Description
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- This dataset has been beuilt from the MBPP dataset for fine tuning dense retrieval models. The dataset was created by using the first 70% points from the MBPP dataset. We created triplets corresponding to all negatives for a positive pair. Hence there are n * (n - 1) triplets for n pairs(since we have n-1 negative examples for every anchor-positive pair). Using a random seed of 10, we split these triplets into train and test subsest with a 70:30 ratio.
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  ## Fields
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  # Description
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+ This dataset has been built from the MBPP dataset for fine tuning dense retrieval models. The dataset was created by using the first 70% points from the MBPP dataset. We created triplets corresponding to all negatives for a positive pair. Hence there are n * (n - 1) triplets for n pairs(since we have n-1 negative examples for every anchor-positive pair). Using a random seed of 10, we split these triplets into train and test subsest with a 70:30 ratio.
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  ## Fields
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