how to set parameters when training office-home with version of pytorch about cdan

[Xarlley]

C:\Users\Alarak>python D:\桌面\CDAN-master\pytorch\train_image.py --gpu_id id --net ResNet50 --dset office-home --test_interval 2000 --s_dset_path D:\OfficeHomeDataset_10072016\Art.txt --t_dset_path D:\OfficeHomeDataset_10072016\Clipart.txt CDAN
Traceback (most recent call last):
File "D:\桌面\CDAN-master\pytorch\train_image.py", line 278, in
train(config)
File "D:\桌面\CDAN-master\pytorch\train_image.py", line 84, in train
dsets["source"] = ImageList(open(data_config["source"]["list_path"]).readlines(),
File "D:\桌面\CDAN-master\pytorch\data_list.py", line 35, in init
imgs = make_dataset(image_list, labels)
File "D:\桌面\CDAN-master\pytorch\data_list.py", line 17, in make_dataset
images = [(val.split()[0], np.array([int(la) for la in val.split()[1:]])) for val in image_list]
File "D:\桌面\CDAN-master\pytorch\data_list.py", line 17, in
images = [(val.split()[0], np.array([int(la) for la in val.split()[1:]])) for val in image_list]
File "D:\桌面\CDAN-master\pytorch\data_list.py", line 17, in
images = [(val.split()[0], np.array([int(la) for la in val.split()[1:]])) for val in image_list]
ValueError: invalid literal for int() with base 10: 'Clock/00001.png|'

创建好两个txt之后，顺便将路径也改成下载到的数据集给出的imagelist中默认的D盘下的相应路径，运行后出现如下报错，似乎下载到的数据集给出的list格式跟贵课题组编程时使用的list格式不完全相同，请问贵课题组是如何对office-home这一数据集进行设置的呢？
除此之外，我发现readme中给出的其他数据集已经大部分不再可用，贵课题组可否更新数据集来源？