Updated 7 months ago
Updated 1 year ago
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The LEGOv2 database is a parameterized and annotated version of the CMU Let’s Go database from 2006 and 2007. This spoken dialogue corpus contains interactions captured from the CMU Let’s Go (LG) System by Carnegie Mellon University in 2006 and 2007. It is based on raw log-files from the LG system. The corpus has been parameterized and annotated by the Dialogue Systems Group at Ulm University, Germany.
Updated 2 years ago
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CMU Multimodal Opinion Sentiment Intensity (CMU-MOSI) is a dataset of opinion level sentiment intensity in online videos. It contains 2199 opinion utterances with sentiment annotated between very negative to very positive in seven Likert steps.