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README.md
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@@ -2,11 +2,22 @@ Welcome to **RoBERTArg**!
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π€ **Model description**
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This model was trained on ~
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**Dataset**
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The dataset (π Stab et al. 2018) consists of **ARGUMENTS** that either support or oppose a topic if it includes a relevant reason for supporting or opposing the topic, or as a **NON-ARGUMENT** 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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**Model training**
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π€ **Model description**
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This model was trained on ~25k heterogeneous manually annotated sentences (π Stab et al. 2018) of controversial topics to classify text into one of two labels: π· **NON-ARGUMENT** (0) and **ARGUMENT** (1).
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**Dataset**
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The dataset (π 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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| abortion | 2213 | 2,427 |
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| school uniforms | 325 | 1,734 |
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| death penalty | 325 | 2,083 |
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| marijuana legalization | 325 | 1,262 |
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| nuclear energy | 325 | 2,118 |
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| cloning | 325 | 1,494 |
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| gun control | 325 | 1,889 |
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| minimum wage | 325 | 1,346 |
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**Model training**
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