800 AIGC docs

Published: 22 January 2024| Version 1 | DOI: 10.17632/4xz9wjknwy.1
Contributor:
zhu yu

Description

Corpus Collection Process: The corpus collection involved diverse task scenarios and varying degrees of task openness. Bilingual inputs were provided, encompassing different task scenes and levels of openness, processed by eight mainstream generative artificial intelligence tools from both China and the United States. Ultimately, a total of 800 independent documents were generated, forming the research sample corpus for this study. The corpus is characterized by bilingual content in both Chinese and English, encompassing multiple tasks, employing various models, and exhibiting a dual level of openness.

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Institutions

Nanjing University

Categories

Artificial Intelligence, Content Analysis Benchmarking

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