To acquire as high a generalization capability as possible, for training we use not only the small scale of manually gathered data, which is high precision, but also the large scale of automatically gathered data, which includes a certain amount of noise.
to manually gathered data, automatically gathered data might have incorrect labels, i.e., labels that do not match the descriptive texts.