Datasets:
Tasks:
Question Answering
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English
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Verified signature# Argument Reasoning Tasks (ART) Dataset **Evaluating natural language argumentative reasoning in large language models.** --- ## π Overview The **Argument Reasoning Tasks (ART)** dataset is a large-scale benchmark designed to evaluate the ability of **large language models (LLMs)** to perform **natural language argumentative reasoning**. It contains **multiple-choice questions** where models must identify missing argument components, given an argument context and reasoning structure. ART covers **16 task types** derived from four core argumentation structures: - **Serial reasoning** β chained inference steps. - **Linked reasoning** β multiple premises jointly supporting a conclusion. - **Convergent reasoning** β independent premises supporting a conclusion. - **Divergent reasoning** β a single premise leading to multiple possible conclusions. --- ## π Source & Reference This dataset was introduced in: > **Debela Gemechu, Ramon Ruiz-Dolz, Henrike Beyer, and Chris Reed. 2β¦35ccd6f
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