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I have been running lm-eval-harness a lot which has results in an API rate limit. This seems strange, since all of the data should be cached locally. I have in fact verified this.
Steps to reproduce the bug
Be Me
Run load_dataset("TAUR-Lab/MuSR")
Hit rate limit error
Dataset is in .cache/huggingface/datasets
???
Expected behavior
We should not run into API rate limits if we have cached the dataset
Environment info
datasets 2.16.0
python 3.10.4
The text was updated successfully, but these errors were encountered:
Describe the bug
I have been running lm-eval-harness a lot which has results in an API rate limit. This seems strange, since all of the data should be cached locally. I have in fact verified this.
Steps to reproduce the bug
load_dataset("TAUR-Lab/MuSR")
Expected behavior
We should not run into API rate limits if we have cached the dataset
Environment info
datasets 2.16.0
python 3.10.4
The text was updated successfully, but these errors were encountered: