SoftAttributes (SoftAttributes: Relative movie attribute dataset for soft attributes)
Introduced by Balog et al. in On Interpretation and Measurement of Soft Attributes for Recommendation
The dataset consists of sets of movie titles, with each set annotated with a single English soft attribute (subjective descriptive property, such as 'confusing' or 'romantic') and a reference movie. For each set, a crowd worker has placed the movies into three sets: more, equally, and less than the reference movie. There are 5,991 such sets, from which one can infer approximately 250,000 pairwise preferences over movies for the 60 distinct soft attributes studied.
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