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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Research.fi
Dataset . 2023
License: CC BY
Data sources: Research.fi
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ChatGPT responses to questions from Vetala_Tales-Arthur_Ryder-Twenty_Two_Goblins

Authors: Bhattacharya, Kunal; Nandi, Anjan;

ChatGPT responses to questions from Vetala_Tales-Arthur_Ryder-Twenty_Two_Goblins

Abstract

ChatGPT (GPT-4 & GPT-3.5) responses to Vetala-questions from stories (paraphrased) selected from Twenty-Two Goblins by Arthur W. Ryder based on Vetala Tales composed in Sanskrit in the 11th century Data for preprint: Goblin's Challenge to ChatGPT: Exploring AI's Dilemma Resolution and Mentalization through Riddle Tales https://ssrn.com/abstract=4476837 OR https://dx.doi.org/10.2139/ssrn.4476837 Authors: Kunal Bhattacharya (ORCID: 0000-0002-4943-3814) Aalto University School of Science, Finland, kunal.bhattacharya@aalto.fi Anjan K. Nandi (ORCID: 0000-0002-7859-4596) Edukorus Knowledge Services, Kolkata, India anjanandi@gmail.com *Ry- denotes the story number in Ryder’s adaptation (J.M. Dent & Sons Ltd., London, 1917 available at https://www.gutenberg.org/ebooks/2290) *Pe- N. M. Penzer. The Ocean of Story, being C. H. Tawney’s translation of Somadeva’s Katha Sarit Sagara, volumes VI-VII. Chas. J. Sawyer, London, 1924-26 Stories selected: Ry1, Ry2, Ry3, Ry5, Ry6, Ry7, Ry10, Ry11, Ry12, Ry13, Ry17, & Pe10 ChatGPT sessions conducted in the first two weeks of May, 2023.

Country
Finland
Related Organizations
Keywords

ChatGPT, GPT-4, Folklore

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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!
views
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