Story Commonsense Dataset
Created by Rashkin et al. at 2018, the Story Commonsense Dataset contains a total of 300k low-level annotations for motivation and emotion across15,000 stories (randomly selected from the ROC story training set). It covers over 150,000 character-line pairs, in which 56k character-line pairs have an annotated motivation and 105k have an annotated change in emotion (i.e. a label other than none)., in English language. Containing 15 in CSV, JSON file format.
Dataset Sources
Here you can download the Story Commonsense dataset in CSV, JSON format.
Download Story Commonsense dataset CSV, JSON files
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Paper
Read full original Story Commonsense paper.
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