Datasets › CANDOR Corpus

CANDOR Corpus (CANDOR = Conversation: A Naturalistic Dataset of Online Recordings)

Introduced by Andrew Reece et al. in Advancing an Interdisciplinary Science of Conversation: Insights from a Large Multimodal Corpus of Human Speech1 Mar 2022 archive 2025-07-28

The CANDOR corpus is a large, novel, multimodal corpus of 1,656 recorded conversations in spoken English. This 7+ million word, 850 hour corpus totals over 1TB of audio, video, and transcripts, with moment-to-moment measures of vocal, facial, and semantic expression, along with an extensive survey of speaker post conversation reflections.

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Natural Language Inference Emotion Recognition in Conversation Natural Language Understanding Facial Action Unit Detection Recognizing Emotion Cause in Conversations Video Emotion Recognition Facial Emotion Recognition Prosody Prediction English Conversational Speech Recognition

License archive 2025-07-28

see registration for details

Modalities archive 2025-07-28

Images Videos Texts Tabular Time series

Languages archive 2025-07-28

English

Variants archive 2025-07-28

CANDOR Corpus

1 variant name, as the archive lists them.

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