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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Referential and Temporal Cohesion Dataset: 10 ChatGPT + 10 Grok Narrative Texts (500 Words) with Coh-Metrix Outputs and SPSS Analysis Files

Authors: HILMI, Youssef;

Referential and Temporal Cohesion Dataset: 10 ChatGPT + 10 Grok Narrative Texts (500 Words) with Coh-Metrix Outputs and SPSS Analysis Files

Abstract

This dataset contains 20 original 500 word narrative texts generated by ChatGPT (GTP-5 free tier) and Grok (Grok-4 free tier) using identical zero-shot prompts. the texts were generated to investigate referential and temporal cohesion differences between the two large language models. Also included are: raw Coh-Metrix 3.0 output tables (Referential indices CRFNO1-CRFCWOa and temporal indices CNCTemp, SMTEMP), cleaned .txt files and SPSS 2026 dataset.

Related Organizations
Keywords

Coh-Metrix, ChatGPT, Grok, temporal cohesion, Referential cohesion, AI-generated texts

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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!
0
Average
Average
Average