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README.md
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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 Randomly generated negative samples have been replaced by existing chunks of genomes not containing the respective elements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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| 11 |
Keypoints about the updated datasets:
|
| 12 |
+
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).
|
| 14 |
+
3. Randomly generated negative samples have been replaced by existing chunks of genomes not containing the respective elements.
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| 15 |
4. All datasets have now proper chromosome held-out test sets.
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| 16 |
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| 17 |
## Dataset Description
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