Is character-level RNN example not ready to use yet?

It seems data is not connected nor processed for the model yet.

simply run kur -v train kurfile.yml in the language model, I got the following error message:

Traceback (most recent call last):
  File "/Users/Natsume/miniconda2/envs/dlnd-tf-lab/bin/kur", line 11, in <module>
    load_entry_point('kur', 'console_scripts', 'kur')()
  File "/Users/Natsume/Downloads/kur_road/kur/kur/__main__.py", line 382, in main
    sys.exit(args.func(args) or 0)
  File "/Users/Natsume/Downloads/kur_road/kur/kur/__main__.py", line 61, in train
    func = spec.get_training_function()
  File "/Users/Natsume/Downloads/kur_road/kur/kur/kurfile.py", line 259, in get_training_function
    provider = self.get_provider('train')
  File "/Users/Natsume/Downloads/kur_road/kur/kur/kurfile.py", line 240, in get_provider
    sources=Supplier.merge_suppliers(suppliers),
  File "/Users/Natsume/Downloads/kur_road/kur/kur/supplier/supplier.py", line 130, in merge_suppliers
    sources = supplier.get_sources()
  File "/Users/Natsume/Downloads/kur_road/kur/kur/supplier/jsonl_supplier.py", line 80, in get_sources
    self._load()
  File "/Users/Natsume/Downloads/kur_road/kur/kur/supplier/jsonl_supplier.py", line 59, in _load
    with open(self.source, 'r') as infile:
FileNotFoundError: [Errno 2] No such file or directory: '../data/train.jsonl'

When and how can I try this example? Thanks a lot!

[noajshu]

Yes, reduced data set size takes less time to generate and train.

[EmbraceLife]

@noajshu Thank you very much! This example is great, I really want to see it in kur.

• with your solution above, make_data.py only takes a few seconds
• kur -v train kurfile.yaml only takes less than 4 mins, compared to default setting’s estimated 5 hours training
• Also the previous 30 minutes loading time is gone too Now, I would like to be clear about what made it take 30 mins to load previously? was it the large dataset? with smaller dataset, loading time reduced?

Thanks!