DDRel is a dataset for interpersonal relation classification in dyadic dialogues. It consists of 6,300 dyadic dialogue sessions between 694 pairs of speakers with 53,126 utterances in total. It is constructed by crawling movie scripts from IMSDb and annotating the relation labels for each session according to 13 pre-defines relationships.
Source: https://github.com/JiaQiSJTU/DialogueRelationClassificationPaper | Code | Results | Date | Stars |
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