This interface allows you to download COALS vectors by specifying a list of words and a vector format. You are limited to the 500,000 most-common words according to the corpus on which COALS is based.
Read the introduction to COALS to learn more about the vector types. In short, COALS vectors are the original high-dimensional real-valued vectors. Typically, 14,000 dimensions are used, although you could choose fewer or up to 100,000. COALS-SVD vectors are lower dimensional real-valued vectors resulting from using the singular value decomposition of the full COALS matrix. These can have up to 1,500 dimensions, although you may want just a few. 500-1,000 dimensions usually gives the best performance. Finally, COALS-SVDB vectors are just like COALS-SVD vectors, but they are discretized to binary values: negative values map to 0 and positive values to 1.