Code Issue

[祁原涛]

Dear Organizing Committee:

On behalf of my team, I would like to inquire about the following: Due to the large size of the original dataset, simultaneously reading, processing, and training the data can lead to slow progress. Does the organizing committee's server support preprocessing the data into .npy format before training? The .npy format data will be cached in the submitted code directory.

[PhysioNet Challenge]

Hello,

We require that teams upload working training code, including any data processing code, as part of their entries. We need to be able to run a team's training code, including data processing, within the computational constraints imposed on the Challenge entries. Please see this FAQ for related questions and answers:
https://physionetchallenges.org/2026/faq/

In particular, we do not allow teams to upload pre-processed data or a pre-trained model to avoid these constraints, which support the development of reproducible approaches, allow us to provide more timely feedback, and provide a more even playing field for teams.

However, we use the unofficial phase is to better understand how we can improve the Challenge for the official phase, including the pain points that may limit what teams can do, so please do share feedback on the Challenge forum or directly if it reveals too much about your approach.

Best,
Matt
(On behalf of the Challenge team.)

Please post questions and comments in the forum. However, if your question reveals information about your entry, then please email info at physionetchallenge.org. We may post parts of our reply publicly if we feel that all Challengers should benefit from it. We will not answer emails about the Challenge to any other address. This email is maintained by a group. Please do not email us individually.