create_fine_tune_data: Function to generate dataset to be used for fine-tuning...

In AIscreenR: AI Screening Tools in R for Systematic Reviewing

Function to generate dataset to be used for fine-tuning models

Description

This function creates the initial data that can be used to fine tune models from OpenAI.

Usage

create_fine_tune_data(data, prompt, studyid, title, abstract)

Arguments

data	Dataset containing the titles and abstracts.
prompt	Prompt(s) to be added before the title and abstract.
studyid	Unique Study ID. If missing, this is generated automatically.
title	Name of the variable containing the title information.
abstract	Name of variable containing the abstract information.

Value

A dataset of class 'fine_tune_data'.

Note

The dataset contains at least the following variables:

studyid	integer/character/factor	indicating the study ID of the reference.
title	character	indicating the title of the reference.
abstract	character	indicating the abstract of the reference.
question	character	indicating the final question sent to OpenAI's GPT API models for training.

See Also

save_fine_tune_data()

Examples

# Extract 5 irrelevant and relevant records, respectively.
dat <- filges2015_dat[c(1:5, 261:265),]

prompt <- "Is this study about functional family therapy?"

dat <-
  create_fine_tune_data(
    data = dat,
    prompt = prompt,
    studyid = studyid,
    title = title,
    abstract = abstract
   )

dat

AIscreenR documentation built on Aug. 18, 2025, 5:15 p.m.