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README.md
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path: data/train-*
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Dataset for basic argumentation in online reviews
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The label set descriptions are as follows. The respective RoBERTa models are linked as well.
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Argument component: Distinguishes the argumentative component that is used. Can be one of: claim, premise, background.
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Specificity: Differentiates between generic statements and more thoughtful user statements. Can be one of: general, specific, experience.
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Sentiment: A positive, balanced, negative or neutral argumentative statement about the reviewed item.
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Aspect: Provides more insight into what aspect of interest the argumentative statement covers. Can be one or more of: general sentiment, price, delivery, function and quality, fun and usage, style, installation, customer service and none. Only available for the Amazon review subset.
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- split: train
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path: data/train-*
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---
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# Dataset Card for "argureviews"
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Dataset for basic argumentation in online reviews
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The label set descriptions are as follows. The respective RoBERTa models are linked as well.
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- [Argument component](/nihiluis/argureviews-component-roberta_v1): Distinguishes the argumentative component that is used. Can be one of: claim, premise, background.
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- [Specificity](/nihiluis/argureviews-specificity-roberta_v1): Differentiates between generic statements and more thoughtful user statements. Can be one of: general, specific, experience.
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- [Sentiment](/nihiluis/argureviews-sentiment-roberta_v1): A positive, balanced, negative or neutral argumentative statement about the reviewed item.
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- [Aspect](/nihiluis/argureviews-aspect-roberta_v1): Provides more insight into what aspect of interest the argumentative statement covers. Can be one or more of: general sentiment, price, delivery, function and quality, fun and usage, style, installation, customer service and none. Only available for the Amazon review subset.
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