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@@ -6,7 +6,7 @@ This model was trained on ~25k heterogeneous manually annotated sentences (๐Ÿ“š
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  **Dataset**
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- The dataset (๐Ÿ“š Stab et al. 2018) consists of **ARGUMENTS** (~11k) that either support or oppose a topic if it includes a relevant reason for supporting or opposing the topic, or as a **NON-ARGUMENT** (~14k) if it does not include reasons. The authors focus on controversial topics, i.e., topics that include an obvious polarity to the possible outcomes and compile a final set of eight controversial topics: _abortion, school uniforms, death penalty, marijuana legalization, nuclear energy, cloning, gun control, and minimum wage_.
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  | TOPIC | ARGUMENT | NON-ARGUMENT |
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  |----|----|----|
 
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  **Dataset**
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+ The dataset (๐Ÿ“š Stab et al. 2018) consists of **ARGUMENTS** (\~11k) that either support or oppose a topic if it includes a relevant reason for supporting or opposing the topic, or as a **NON-ARGUMENT** (\~14k) if it does not include reasons. The authors focus on controversial topics, i.e., topics that include an obvious polarity to the possible outcomes and compile a final set of eight controversial topics: _abortion, school uniforms, death penalty, marijuana legalization, nuclear energy, cloning, gun control, and minimum wage_.
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  | TOPIC | ARGUMENT | NON-ARGUMENT |
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  |----|----|----|