Bug: openml.runs.list_runs causes server error for large offsets
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调研方向
Start at the openml.runs.list_runs entry point and reproduce the request using a large offset such as 10,000,000 against the shown API URL. Determine whether the client can address the 504 response or needs to expose a different retrieval path; done means the large-offset use case has a defined, tested outcome or documented limitation.
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描述
Hi!
I've been trying to update a database I have consisting of OpenML runs with the latest runs in the platforms. For that reason, I have been trying to use openml.runs.list_runs with large offsets (e.g., 10,000,000). However, for these large offsets, the function produces the following exception:
`Unexpected server error when calling https://www.openml.org/api/v1/xml/run/list/limit/10000/offset/10037963. Please contact the developers!
Status code: 504
504 Gateway Time-out
nginx `
Do you advise on checking all ids after my offset one by one to fetch runs individually instead of using list_runs?
Thank you!
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