cache directory bug

[dvolgyes]

The user home directories are actually not a good place to store data.
This is configurable in the huggingface interface with something like this:

import datasets
datasets.load_dataset("sjyhne/mapai_training_data", cache_dir="/mnt/experiment-3/huggingface")

However, it seems there is a bug in the mapai_training_data.py, and it can't properly handle nondefault directory.
I would suggest to add an optional cache_dir to the create_dataset function which is propagated
into the load_dataset, and also fixing the bug in the huggingface datasets.

It is hackable, but especially on long term, after the competition, it would be nice to have a conformant dataset
which could be used in the future easily.

Reproduction:

• execute the above lines

Possible cause:

• very likely in the _split_genetators function the current working dir is not the one which is assumed,
  therefore the os.makedirs refer to wrong location.

[Sjyhne]

Yeah, I 100% agree with you. This will be fixed in the final version of the dataset released after the competition. 😄