Issue in finding a csv file.

[Asaad-Pak]

I am implementing code of XREM paper in which one file uses the "CXR-Report-Metric" whose code look like this below:
"
import pandas as pd
import argparse

#CXR-Metric computes the scores based on 2,192 samples from the mimic-cxr test set that consists of 3,678
#This function selects the respective 2,192 reports
def main(fpath, opath):
df = pd.read_csv(fpath)
test = pd.read_csv('../data/mimic_test_impressions.csv')
gt = pd.read_csv('../data/cxr2_generated_appa.csv')[['dicom_id', 'study_id']] #contains the dicom ids of the 2,192 imgs
gt['report'] = [None] * len(gt)
pred = df['filtered']
pred = pd.concat([test[['dicom_id']], pred], axis = 1)
pred = pred.set_index('dicom_id')
for idx, row in gt.iterrows():
dicom_id, study_id, _ = row
gt['report'][idx] = pred['filtered'][dicom_id]
gt.to_csv(opath, index = False)

if name == 'main':
parser = argparse.ArgumentParser()
parser.add_argument('--fpath', default='../ifcc/example_m2trans_nli.csv')
parser.add_argument('--opath', default='pred.csv')
args = parser.parse_args()
main(args.fpath, args.opath)

I am not sure here what file to pass here in 'gt' variable. Is it ground truth files with labels? If yes then it doesn't contain study_id and dicom_id. Can you explain this what gt files look like any sample of gt file. @KathyFeiyang any lead will be highly appreciated.