Clione

The best learning method in the world is useless without the right data.
We believe that it is an imperative of all researchers and engineers to build systems responsibly, which includes understanding the data that we use. Clione aims to provide clear information on the sources, biases, and ethical considerations of published datasets at the intersection of machine learning and robotics, in order to give you more knowledge about the data you choose.
Our knowledge is powered by the community—feel free to add or modify any of the data here. Information is reviewed regularly for accuracy.