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Data · dataset · 2026

AnnoDIFP CTS Audio and Transcripts

Listed in UC Berkeley Library Dataverse

Description

AnnoDIFP (Annotated Data for the Investigation of Facets of Personality) CTS (Conversational Telephone Speech) Audio and Transcripts was developed by the Linguistic Data Consortium (LDC), the Florida Institute of Technology and the University of New Haven to support algorithm development for predicting personality traits. It contains 242.52 hours of English audio and transcripts from 1,179 telephone calls involving 327 participants paired with scores from two self-reported personality assessments, HEXACO Personality Inventory (Revised) (HEXACO-PI-R) and Short Dark Triad (SD3).

Survey and behavioral data were collected in three phases. Phase 1 consisted of online questionnaires. Selected participants were invited to participate in Phase 2a, collecting behavioral and linguistic data in a laboratory setting.

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In Phase 2b, participants engaged in a telephone speech collection. This release covers the activities in Phase 2b. The data collected in Phase 2a is contained in AnnoDIFP Session Audio and Transcripts (LDC2025S06).

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Where it is published

Catalogue records · 1

Topics

Stated by source
Social Sciences
From keywords
Social Science
Inferred from text
Audio 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
UC Berkeley Library Dataversedoi:10.60503/D3/JRWKEP6 d agoJSON v1
FieldAssertionExtractorEvidence
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