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TextMachina: Seamless Generation of Machine-Generated Text Datasets
April 15, 2024, 4:47 a.m. | Areg Mikael Sarvazyan, Jos\'e \'Angel Gonz\'alez, Marc Franco-Salvador
cs.CL updates on arXiv.org arxiv.org
Abstract: Recent advancements in Large Language Models (LLMs) have led to high-quality Machine-Generated Text (MGT), giving rise to countless new use cases and applications. However, easy access to LLMs is posing new challenges due to misuse. To address malicious usage, researchers have released datasets to effectively train models on MGT-related tasks. Similar strategies are used to compile these datasets, but no tool currently unifies them. In this scenario, we introduce TextMachina, a modular and extensible Python …
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