  We present a computationally-grounded word similarity dataset based on two
well-known Natural Language Processing resources; text corpora and knowledge
bases. This dataset aims to fulfil a gap in psycholinguistic research by
providing a variety of quantifications of semantic similarity in an extensive
set of noun pairs controlled by variables that play a significant role in
lexical processing. The dataset creation has consisted in three steps, 1)
computing four key psycholinguistic features for each noun; concreteness,
frequency, semantic and phonological neighbourhood density; 2) pairing nouns
across these four variables; 3) for each noun pair, assigning three types of
word similarity measurements, computed out of text, Wordnet and hybrid
embeddings. The present dataset includes noun pairs' information in Basque and
European Spanish, but further work intends to extend it to more languages.
