datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
brysbaert_concretenessconcreteness-ratings
English Words Concreteness Rating
This dataset is provided by the research "Concreteness ratings for 40 thousand generally known English word lemmas" of Brysbaert et al. (2014).
The original dataset can be found here.
Usage
This dataset is ideal for training and evaluating machine learning models for English word concreteness.
Acknowledgments
We extend our heartfelt gratitude to all the authors of the original dataset.
License
This dataset is made… See the full description on the dataset page: https://huggingface.co/datasets/StephanAkkerman/concreteness-ratings.Concreteness_and_imageability_lexicon
[!NOTE]
Dataset origin: https://www.clarin.si/repository/xmlui/handle/11356/1187
Description
The lexicon contains concreteness and imageability predictions of words in 77 languages. The resource is built via supervised machine learning, using average human responses obtained for Croatian lexemes inside the MEGAHR project (http://megahr.ffzg.unizg.hr) as the response variable, and the Facebook cross-lingual word embeddings (https://github.com/Babylonpartners/fastText_multilingual)… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/Concreteness_and_imageability_lexicon.Concreteness-RatingsBrysbaert, M., Warriner, A.B., & Kuperman, V. (2014). Concreteness ratings for 40 thousand generally known English word lemmas. Behavior Research Methods, 46, 904-911.
concreteness_phrase_ratings