In this case, I don't see UIs, i see HF have a 1GB+ dataset that is curated.
TF, in contrast, has 10 glue datasets varying from KBs! to 100s of MBs in size.
To each their own. I like that TF separates them since they are separate tasks and combining them is only one use case. At the end of the day we should just use what works best. The ML landscape is far from settled.
