Get a list of available models in the similarity dataset.

These represent the different permutations of skill and occupation mappings across various taxonomies. The models whose names have two taxonomies separated by a hyphen accept an item from the first taxonomy as input and return items from the second taxonomy. For example, lotspecocc-skill will take an LOT specialized occupation ID as input and return a list of related skills. The models that don't list two taxonomies in their name, such as lotocc and onet, will return similar items from their respective taxonomy.