We work with climate science researchers who have multi-TB datasets, and they have no efficient way to share them. Same goes for genomics researchers who routinely pay lots of money for Aspera licenses just to download datasets faster than TCP allows. We are using a Ledbat protocol tuned to give good bandwidth over high latency links, but only scavange available b/w as it is lower priority than TCP.
For the machine learning researcher: i'd like to test this RNN on the reddit comments dataset....3 days later after finding a poor quality torrent...oh, now i can do it. On our system, search, find, click to download. We will move towards downloading (random) samples of very large datasets (even to Kafka from where they can be processed as they are downloaded).
I recommand using true skill for noting user and dataset.
Keep up the good job.
[0] http://www.evanmiller.org/how-not-to-sort-by-average-rating....
If a person figured out a way to apply it usefully to some other area - which doesn't seem hard at all - (job skill ranking? :D), MS is the kind of company that would attempt to collect $$$ from it regardless. :(
The system will be bootstrapped with lots of interesting big datasets: imagenet, 10m images, youtube 8m, reddit comments, hn comments, etc. Our experience is that we need a central point for researchers to get easy access to open datasets that doesn't require a AWS or GCE account.