Paper:
    https://ecs.utdallas.edu/research/researchlabs/msp-lab/publications/Busso_2008_5.pdf

This is IEMOCAP-DataLoader for research purpose
We preprocessed sentences data using opensmile.
This Dataloader Package will return actual preprocessed data and sentences' label
We made it to return data by session and emotion label using parameters.

from IEMOCAP import processed_loader
X, y = processed_loader.get_by_session(
                                fset="ege", 
                                flevel="fun", 
                                session=[1,3], 
                                only_label=["all"]
                                )

fset = 
    "comp" #ComParE_2016 : Opensmile parameters
    "ege"  #eGeMAPSv02 : Opensmile parameters
    
flevel = 
    "fun"  #Functionals : Opensmile parameters
    "lld"  #LowLevelDescriptors : Opensmile parameters
    
session = 
    [1,2,3,4,5] # list of the sessions you want to load
    
only_labels = 
    ["all"] # for loading all emtion labels
    ["ang", "exc"] # for loading only "ang", "exc" emotion

"ang",
"exc",
"dis",
"fea",
"fru",
"neu",
"hap",
"oth",
"sad",
"sur",
"xxx",