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TypeDatasetDescriptionLabelsLink
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Human-Agent ConversationsPRESTO550K contextual multilingual conversations between humans and virtual assistants-https://github.com/google-research-datasets/presto
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Human-Agent ConversationsSGD (Schema-Guided Dialogue)20k annotated multi-domain, task-oriented conversations between a human and a virtual assistant-
https://github.com/google-research-datasets/dstc8-schema-guided-dialogue
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Human-Agent ConversationsConvAI23.5 k (train) human-to-bot conversations
Has an evaluation score (How much does the user like the conversation?)
https://huggingface.co/datasets/conv_ai_2
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Human-Agent ConversationsEmoWoz (DialMAGE)1k human-machine dialogues6 emotions + unlabelled + neutralhttps://huggingface.co/datasets/hhu-dsml/emowoz
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Human-Human ConversationsGoEmotions58k Reddit comments27 emotions + neutralhttps://research.google/resources/datasets/goemotions/
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Human-Human ConversationsEmpatheticDialogues25k dialogues32 emotionshttps://github.com/facebookresearch/EmpatheticDialogues
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Human-Human ConversationsEmotionLines29,245 labeled utterances from 2000 dialogues
8 types of emotion labels + neutral, and non-neutral
https://doraemon.iis.sinica.edu.tw/emotionlines/
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Human-Human ConversationsDailyDialog13,118 day-to-day dialogues6 basic emotions + 4 actionshttps://huggingface.co/datasets/daily_dialog
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Human-Human ConversationsEmoWoz (MultiWOZ)10k dialogues6 emotions + unlabelled + neutralhttps://huggingface.co/datasets/hhu-dsml/emowoz
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Human-Human ConversationsCANDOR
1656 conversations recorded in spoken English. 7+ million word, 850-hour corpus totals more than 1 terabyte of audio, video, and transcripts, with moment-to-moment measures of vocal, facial, and semantic expression, together with an extensive survey of speakers’ postconversation reflections.
-https://www.science.org/doi/10.1126/sciadv.adf3197
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