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Hi, thanks for sharing this great project! Since there is no clean labels of training set and no noisy labels of test set, I am wondering the noise rate of Chaoyang dataset. This noise rate of real-world dataset is important to design the synthetic label noise settiing.
Also, I found the script step1.py defines args.noise_rate = 0.15 for Chaoyang datset. Is this value computed with clean labels, or estimated by other algorithm?
It is an estimated noise ratio of the Chaoyang dataset. Since the Chaoyang dataset is constructed in a real-world situation (as described on page 6 of our paper), we do not have the "clean" labels of the training set.
Hi, thanks for sharing this great project! Since there is no clean labels of training set and no noisy labels of test set, I am wondering the noise rate of Chaoyang dataset. This noise rate of real-world dataset is important to design the synthetic label noise settiing.
Also, I found the script step1.py defines args.noise_rate = 0.15 for Chaoyang datset. Is this value computed with clean labels, or estimated by other algorithm?
HSA-NRL/step1.py
Line 66 in 7375154
Thanks~
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