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@@ -9,9 +9,9 @@ The `nucleotide_transformer_downstream_tasks` dataset features the 18 downstream
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  **We note that this is an updated version of this benchmark after the paper has been through peer-review. We highly encourage to move to this version in detriment of the [older version](https://huggingface.co/datasets/InstaDeepAI/nucleotide_transformer_downstream_tasks).**
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  Keypoints about the updated datasets:
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- 1. It maintains similar tasks, number of classes and train and test set sizes as the previous benchmark;
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- 2. All the data is now from human samples and from recent and high-quality datasets (see descriptions of each dataset source below);
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- 3. Randomly generated negative samples have been replaced by existing chunks of genomes not containing the respective elements;
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  4. All datasets have now proper chromosome held-out test sets.
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  ## Dataset Description
 
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  **We note that this is an updated version of this benchmark after the paper has been through peer-review. We highly encourage to move to this version in detriment of the [older version](https://huggingface.co/datasets/InstaDeepAI/nucleotide_transformer_downstream_tasks).**
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  Keypoints about the updated datasets:
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+ 1. It maintains similar tasks, number of classes and train and test set sizes as the previous benchmark.
13
+ 2. All the data is now from human samples and from recent and high-quality datasets (see descriptions of each dataset source below).
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+ 3. Randomly generated negative samples have been replaced by existing chunks of genomes not containing the respective elements.
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  4. All datasets have now proper chromosome held-out test sets.
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  ## Dataset Description