[ ] what if users want to test a dataset that current omneval doesn't support? I guess they need to write a config like this, could we make this process relatively more automatic? (for example, dynamically generating a dataset config based on the dataset name they provided)
[x] we can either remove the restriction of version number or relax the restriction by using
>=
instead of=
https://github.com/ExpressAI/omneval/blob/master/requirements.txt#L1[ ] Can we replace the huggingface datasets with datalab?
[ ] Given a dataset (from DataLab) and PLM , can we implement an interface that can generate the predictions, specifically,
dataset
from datalab,PLM