Need help in figuring out the proper configuration for training

[sparshgarg23]

As mentioned in the readme,I have downloaded the MOT20 dataset and organized it as follows

MOT20
     images
         train
         test
     labels_with_ids
        train

Then inside gen_labels_20.py i have mentioned it as follows

seq_root = '/content/MOT20/train'
label_root = '/content/MOT20/labels_with_ids/train'

Then finally I changed the dataset directories as mentioned in

Change the dataset root directory 'root' in src/lib/cfg/data.json and 'data_dir' in src/lib/opts.py

the data.json looks like this

    "root":"/content/FairMOT/src/data",
    "train":
    {
        "mot20":"./data/mot20.train",
        
    },
    "test_emb":
    {
        "mot15":"./data/mot20.train"
    },
    "test":
    {
        "mot15":"./data/mot20.train"
    }

And in opts.py
the changes are as follows

self.parser.add_argument('--data_cfg', type=str,
                             default='../src/lib/cfg/data.json',
                             help='load data from cfg')
    self.parser.add_argument('--data_dir', type=str, default='/content/FairMOT/src/data')

On running I get the following error

json.decoder.JSONDecodeError: Expecting property name enclosed in double quotes: line 7 column 5 (char 101)

Because I only want to train and test on mot20 and not on other datasets I removed the part about other datasets from data.json file
Furthermore should the data_dir be set to where MOT20 is or should it be set to data in src directory.The same applies in data.json

Will appreciate it if you could clarify