What is CLAUS?
CLAUS is a neural network that is finetuned to score responses from the Alternate Uses Task.
CLAUS matches human ratings more closely than SemDis.
CLAUS currently only supports the following languages: Chinese (Mandarin), Dutch, English, French, Farsi, German, Italian, Polish, Russian, and Spanish. CLAUS has been trained on the following AUT items.
How do I use CLAUS?
To have your alternate uses responses automatically scored, upload a utf-8 encoded CSV that includes a column named 'item' (e.g., BRICK, PAPERCLIP, etc.) and another column named 'response', which contains the participant's response. The algorithm is case sensitive for the item/response column names, but it does not matter if other columns are present in the CSV.
The algorithm will add two new columns to your CSV: one named 'prediction' which reflects the model's creativity score and a column named 'modelname', which is added to reflect the model providing the score.
If the language you wish to score in is not currently supported, we recommend translating the items/responses to English via Google Translate. We've found CLAUS performs quite well in that scenario.
