What is the/is there any reproducible measurement for benchmarking a nlp dataset/application. i.e. in paper it mentions:

'Comparing T0 and GPT-3’s robustness Because Brown et al. (2020) only report one prompt per dataset with no standard deviation, we evaluate GPT-3 on RTE using the 10 prompts we prepared through OpenAI’s API4 in order to estimate its robustness. Note that one of our templates is identical to Brown et al. (2020, p. 59)’s reported prompt; this prompt scores 58.8% accuracy on the API “Base” series which is lower than the reported accuracy of 63.5% from Brown et al. (2020). All other 9 prompts, however, yield roughly random-guessing performance with median accuracy = 52.96% and interquartile range = 1.28%. These results suggest that T0 is more robust to prompt formulation than GPT-3.'