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  - text: "It has been determined that the amount of greenhouse gases have decreased by almost half because of the prevalence in the utilization of nuclear power."
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- ### Welcome to **RoBERTArg**!
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  πŸ€– **Model description**
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@@ -12,7 +12,7 @@ This model was trained on ~25k heterogeneous manually annotated sentences (πŸ“š
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  πŸ—ƒ **Dataset**
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- The dataset (πŸ“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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  - text: "It has been determined that the amount of greenhouse gases have decreased by almost half because of the prevalence in the utilization of nuclear power."
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  ---
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+ ### Welcome to RoBERTArg!
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  πŸ€– **Model description**
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  πŸ—ƒ **Dataset**
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+ The dataset (πŸ“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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  |----|----|----|