the test infer using opencpop dataset isnot working

I just follow all the steps in docs SVS-opencpop-e2e.md. All the data are as following:
.
|--data
|--raw
|--opencpop
|--segments
|--transcriptions.txt
|--wavs
|--checkpoints
|--MY_DS_EXP_NAME (optional)
|--0109_hifigan_bigpopcs_hop128 (vocoder)
|--model_ckpt_steps_1512000.ckpt
|--config.yaml

1. the first error is "Run the following scripts to pack the dataset for training/inference." . the error log shows that the popcs folder is missing? but the test dataset i used is opencpop, so i manualy set the "raw_data_dir" by "opencpop data folder" in binarize.py and modified the "test_prefixes" to ['2044', 2086] in 0228_opencpop_ds100_rel's config.yaml. Then the packing command ran successfully.
2. the second error is "Inference from packed test set". The error log shows that the test set batch num is zero. I want to debug the dataloader, and see where the test folder is. However the code is too complex.

So I wanna konw if i should download the popcs dataset to infer with SVS-opencpop-e2e?
if i want to use the opencpop test data to infer, which configs should be modified?

Start with docs/SVS-opencpop-e2e.md, then compare the raw_data_dir and test_prefixes settings in binarize.py and the 0228_opencpop_ds100_rel config.yaml. Inspect the dataloader path used by the “Inference from packed test set” step and its error log. Done means the opencpop test set is packed and inference runs with a nonzero test batch.