def get_data_parameters(opt, experiment, dataset):#####opt.exp & opt.data used for data loader path
data = DD() ##################
if dataset == "atomic":
data.categories = sorted(opt.categories)
#ORIGINAL CODE
# hard-coded
data.maxe1 = 17
data.maxe2 = 35
data.maxr = 1
#ADRIAN ADDED ################THIS IS WHERE YOU CHANGE PARAMETERS FOR NAME OF LOADER YOU'RE USING
##############MAXE1 == MAX EVENT
############MAXE2 == MAX EFFECT
data.maxe1 = 50
data.maxe2 = 35
data.maxr = 1
###
elif dataset == "conceptnet":
data.rel = opt.relation_format
data.trainsize = opt.training_set_size
data.devversion = opt.development_set_versions_to_use
data.maxe1 = opt.max_event_1_size
data.maxe2 = opt.max_event_2_size
if data.rel == "language":
# hard-coded
data.maxr = 5
else:
# hard-coded
data.maxr = 1
return data############
def get_data_parameters(opt, experiment, dataset):
data = DD()
if dataset == "atomic":
data.categories = sorted(opt.categories)
# hard-coded
data.maxe1 = 17
data.maxe2 = 35
data.maxr = 1
elif dataset == "conceptnet":
data.rel = opt.relation_format
data.trainsize = opt.training_set_size
data.devversion = opt.development_set_versions_to_use
data.maxe1 = opt.max_event_1_size
data.maxe2 = opt.max_event_2_size
if data.rel == "language":
# hard-coded
data.maxr = 5
else:
# hard-coded
data.maxr = 1
elif dataset == "motiv_sent":
data.categories = sorted(opt.categories)
data.maxe1 = 100
data.maxe2 = 67
data.maxr = 1
return data
