Cannot download the CheXpert: Chest X-rays dataset with the following error message:

Result:

<Error>
<Code>BlobNotFound</Code>
<Message>
The specified blob does not exist. RequestId:85fb5496-201e-0030-52be-4a56ba000000 Time:2024-01-19T10:02:51.0237931Z
</Message>
</Error>

Hi @rajpurkar,

Thanks for leading the fantastic chest x-ray projects. Opening an issue to point out tally discrepancy I observed in my downloaded ZIP dataset:

Quote from https://stanfordmlgroup.github.io/competitions/chexpert/:
CheXpert is a large public dataset for chest radiograph interpretation, consisting of 224,316 chest radiographs of 65,240 patients.

Upon downloading the dataset I observed 223414 train + 234 valid images (223,648 total), and 64,740 patients. The ZIP file did not give any CRC errors and tested successfully.

Is there an auxiliary zip file I need to download to get the remaining images?

where is the code?

I want to first thank the Stanford ML group for hosting the MRNet competition. By making the dataset available and hosting the competition you are supporting the further development of AI assisted interpretation of knee MRs.

Our team has recently developed a model and submitted it for evaluation. However, it seems the email that participants should send the bundle link to is missing?
Can you please provide an email that I can send the link to?

Thank you for your help.

N. Sandau, M.D.
Centre for Evidence-Based Orthopedics,
Dept. of Orthopedic Surgery,
Zealand University Hospital,
Denmark

I would like to know the deadline of the competition

It's relatively hard to find the usage documentation from the main page of the project. My suggestion is to add a link to https://stanfordmlgroup.github.io/ngboost/intro.html next to the buttons below

About halfway down https://stanfordmlgroup.github.io/projects/chexnet is:

We collected a test set of 420 frontal chest X-rays. Annotations were obtained independently from four practicing radiologists at Stanford University, who were asked to label all 14 pathologies, even though .