Data & Resources

tar.gz

This dataset extends the feature norms of McRae et al. with category information. For all of the words already present in the norms we've added category labels (e.g. "apple" is a FRUIT) and their corresponding typicality ratings (e.g. "grape" and "avocado" have typicality ratings 6.6 and 3.5 respectively among members of FRUIT. Categories and ratings were collected from Mechanical Turk.

The download is in the YAML data format, easily readable by a large number of programming languages (http://www.yaml.org/). Once loaded, the file mcrae_typicality.yaml should give a dictionary of dictionaries, where keys in the first dictionary are human-produced category labels and the second dictionary maps exemplars (words already present in the McRae norms) to average human-produced typicality ratings. McRae-style feature norms for the 41 category labels are also provided, in both YAML and CSV formats.