A dataset containing the concreteness scores for nearly 40,000 English terms obtained from Brysbaert et al. 2014

concreteness

Format

A data frame with 39,954 rows and 8 variables.

Source

https://doi.org/10.3758/s13428-013-0403-5

Variables

Variables:

  • term. unique word or two-word phrase (bigram)

  • bigram. binary indicator for whether term is a bigram

  • concrete_mean. mean concretness score

  • concrete_std. standard deviation of concreteness scores

  • raters_unknown. number of raters indicating they did not know the term

  • raters_total. total number of persons who rated the word

  • raters_unknown_perc. percentage raters who knew the word

  • subtlex_freq. frequency count of term in SUBTLEX-US corpus