The objective in extreme multi-label learning is to learn a classifier that can automatically tag a datapoint with the most relevant subset of labels from an extremely large label set. This competition  provides the Amazon-670 dataset which is a product to product recommendation dataset. The task here is to learn an extreme classifier such that given a product's description it can recommend other products(out of possible 670K products) that a user might be interested in buying.