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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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A Study of Improving Mathematics Assessment Readability by using GPT-3

Research datakeyboard_double_arrow_right Dataset 08 Jul 2022Publisher:Zenodo
Authors: Patel, Nirmal;

doi: 10.5281/zenodo.6809166 , 10.5281/zenodo.6809165

A Study of Improving Mathematics Assessment Readability by using GPT-3

Abstract

A Study of Improving Mathematics Assessment Readability by using GPT-3 This dataset contains 250 math word problems from EngageNY, and their automated simplifications generated using the GPT-3 engine. There are eight ways each prompt is simplified, and three samples are taken for each prompt. Some API calls can fail or return a blank string. Those responses are omitted. Readability measures for input and output passages are generated using the Common Text Analysis Platform (http://sifnos.sfs.uni-tuebingen.de/ctap/). Text similarity metrics are generated by computing the % of total words between input and output and cosine similarity of the text vectors that GPT-3 embedding API generates.

Keywords

assessments, mathematics, readability, text simplification, nlp

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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