Data · dataset · 2025
AnnoDIFP Session Audio and Transcripts
Listed in UC Berkeley Library Dataverse
AnnoDIFP (Annotated Data for the Investigation of Facets of Personality) Session Audio and Transcripts was developed by the Linguistic Data Consortium (LDC), the Florida Institute of Technology (FIT), and the University of New Haven (UNH) to support algorithm development for predicting personality traits.
Description
It contains 438.34 hours of English audio and transcripts from in-person interviews of 366 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 by calling other participants. This release covers the activities in Phase 2a.
Links
Where it is published
- Dataverse dataset page datasets.lib.berkeley.edu/dataset.xhtml?persistentId=doi%3A10.60503%2FD3%2FNDZ4MG ↗
landing page · from datasets lib berkeley edu
- DOI doi.org/10.60503/d3/ndz4mg ↗
DOI / persistent id · from datasets lib berkeley edu
Catalogue records · 1
- Dataverse API datasets.lib.berkeley.edu/api/datasets/:persistentId/?persistentId=doi%3A10.60503%2FD3%2… ↗
metadata API · from datasets lib berkeley edu
Topics
- Stated by source
- Arts and Humanities · Other · Social Sciences
- From keywords
- Humanities · Social Science
- Inferred from text
- Audio 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| UC Berkeley Library Dataverse | doi:10.60503/D3/NDZ4MG | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:arts-and-humanities | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | /subjects |
| concepts[field].dataverse_subject:other | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | /subjects |
| concepts[field].dataverse_subject:social-sciences | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | /subjects |
| concepts[modality].local:modality:audio | enrichment · datasets lib berkeley edu | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | |
| description | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | /description |
| publication_date | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | |
| title | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | /name |
| updated_date | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | |
| version_label | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 |