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  license: cc-by-4.0
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  license: cc-by-4.0
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+ # The INFERES dataset
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+ train size = 6444
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+ test size = 1612
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+ ## Columns
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+ ID : the unique ID of the instance
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+ Premise
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+ Hypothesis
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+ Label: cnt, ent, neutral
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+ Topic: 1 (Picasso), 2 (Columbus), 3 (Videogames), 4 (Olympic games), 5 (EU), 6 (USSR)
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+ Anno: ID of the annotators (in cases of undergrads or crowd - the ID of the group)
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+ Anno_Type: strategy used to generate the data: Generate, Rewrite, Crowd, and Automated
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+ The train/test split is stratified by a key that combines Label + Anno + Anno_type
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+ ### Disclaimer
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+ The results in the paper are done via k-fold cross validation and average across multiple runs. Experiments with this split might differ slightly.
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+ ### License
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+ cc-by-4.0