Audrey M. Skaife authored a dataset on musical taste, likely containing data related to psychological and aesthetic factors. The dataset is published on paperswithcode, a platform for academic datasets. Columns suggest it may include measures of musical deviation, complexity, and associated taste ratings.
Use Cases
- Analyzing correlations between musical features and listener preference (inferred from domain, verify after download)
- Training models to predict taste evolution based on complexity metrics (inferred from domain, verify after download)
- Testing hypotheses on the role of deviation in aesthetic judgments (inferred from domain, verify after download)
Strengths
- Published on paperswithcode, an academic dataset platform.
- Authored by a named researcher, Audrey M. Skaife.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- License is closed, which may restrict usage.
Provenance
- Source
- paperswithcode