Supplementary material for our BEA 2023 paper, consisting of both the items generated by GPT-3 which passed the content review and were administered to Mturk workers (under /generated_items) and the prompts used to generate said items (under /prompts).
Prompts are text files marked as either simple
or elaborated
, depending on the prompt type. Note that these prompts were also used for GPT-4.
Generated items are csvs with the following columns:
item
: the item content which consists of the premise and hypothesis, separated by a newline.label
: the item label, either entailment, contradiction, or neutral.Prompt Type
: Denotes which type of prompt was used to generate the item.Top P
: The setting of this parameter used when querying GPT-3.
If you find this work useful, please cite us:
Laverghetta Jr., A., & Licato, J. (2023). Generating Better Items for Cognitive Assessments Using Large Language Models. Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications.