generate_ratings_for_all: Generate Ratings for Multiple Stimuli

In chatRater: Rating and Evaluating Texts Using Large Language Models

Generate Ratings for Multiple Stimuli

Description

Applies the generate_ratings function to a list of stimuli.

Usage

generate_ratings_for_all(
  model = "gpt-3.5-turbo",
  stim_list,
  prompt = "You are a native English speaker.",
  question = "Please rate the following stim:",
  top_p = 1,
  temp = 0,
  n_iterations = 30,
  api_key = "",
  debug = FALSE
)

Arguments

model	A character string specifying the LLM model.
stim_list	A character vector of stimuli.
prompt	A character string for the system prompt.
question	A character string for the user prompt.
top_p	Numeric value for the probability mass.
temp	Numeric value for the temperature.
n_iterations	An integer indicating how many iterations per stimulus.
api_key	API key as a character string.
debug	Logical; if TRUE, debug information is printed.

Value

A data frame with stimuli, ratings, and iteration numbers.

Examples

## Not run: 
  all_ratings <- generate_ratings_for_all(
    model = "gpt-3.5-turbo",
    stim_list = c("kick the bucket", "spill the beans"),
    prompt = "You are a native English speaker.",
    question = "Please rate the following stim:",
    n_iterations = 5,
    api_key = "your_api_key"
  )
  print(all_ratings)

## End(Not run)

chatRater documentation built on April 4, 2025, 1:03 a.m.