Namely, for T1, we invert the order of tokens between two entities of REVERSE instances and treated the resulting token sequences as non-REVERSE instances.
in our reproduction work, at each run we set the random state by selecting the number of the random seed from a range of 0 to 10000 to ensure the train and validation data is split without being introduced too much human bias.