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about.py
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@@ -13,14 +13,16 @@ Here we show 5 of these properties and invite the community to submit and develo
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ABOUT_TEXT = """
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**How to participate?**
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There are two
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- Track 1: If you already have a developability model, you can submit your predictions for the GDPa1 dataset.
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- Track 2: If you don't have a model, train one using cross-validaiton on the GDPa1 dataset and submit your predictions under the "Cross-validation" option.
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Finally, submit your predictions on the heldout private test set. This will not appear on the leaderboard, and will be used to determine the winners at the close of the competition.
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**How to submit?**
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ABOUT_TEXT = """
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**How to participate?**
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You must submit predictions for a validation set before submitting predictions for the private test set.
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There are two options for validation sets:
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- Track 1: If you already have a developability model, you can submit your predictions for the GDPa1 dataset.
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Note that for models trained on the Jain dataset (a subset of the GDPa1 dataset), this evaluation will be overoptimistic and the private test set results will likely be lower.
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- Track 2: If you don't have a model, train one using cross-validaiton on the GDPa1 dataset and submit your predictions under the "Cross-validation" option.
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If trained only on this data, this will provide you with a more accurate estimate of your model's performance on the private test set.
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Finally, submit your predictions on the heldout private test set. This will not appear on the leaderboard, and will be used to determine the winners at the close of the competition.
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We may release private test set results at intermediate points during the competition.
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**How to submit?**
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