Access requires BOTH (1) submitting this form AND (2) emailing the signed User Agreement PDF to t.zhang@seu.edu.cn. Include your Hugging Face username in the email subject or body. We approve only after the signed PDF is received (this Hub form cannot attach files). See https://apal-seu.github.io/AVI6/user_agreement.html. Academic, non-commercial research only. Do not redistribute videos or attempt to re-identify participants.

AVI-Personality

AVI-Personality: A Trait-Activated Multimodal Dataset for Personality and Competency Assessment in Asynchronous Video Interviews

Tianyi Zhang, Jinwenxi Shang, Antonis Koutsoumpis, Yuan Zong*, Reinout E. de Vries, Wenming Zheng

Dataset paper — manuscript in preparation

Links

Resource	Link
Paper	Coming soon
Project Page	English, 中文
User Agreement	AVI-Personality EULA
Dataset access	(1) Request access on this page, then (2) email the signed User Agreement PDF to t.zhang@seu.edu.cn. Access is granted only after the PDF is received.

News

Date	Update
2026-08	Project page and user agreement released. Dataset hosting on Hugging Face (gated).
Upcoming	Paper submission details (venue, DOI) will be added here.

Overview

AVI-Personality is a trait-activated multimodal dataset for personality and job-related competency assessment from asynchronous video interviews. The dataset contains 3,876 interview videos from 646 participants who completed a simulated management traineeship application. Participants answered two generic selection questions and four personality-targeted questions designed according to Trait Activation Theory. AVI-Personality provides HEXACO self-reports, observer-rated personality, recruiter-rated competencies, interview performance, and cognitive ability.

Key Features

Trait-activated AVI protocol — 2 generic questions + 4 personality questions targeting Honesty-Humility, Extraversion, Agreeableness, and Conscientiousness
Psychometrically grounded labels — HEXACO-100 self-reports and BARS ratings by trained psychologists and professional recruiters
Dual assessment targets — personality traits and job-related competencies in the same interview setting
Multimodal release — video, audio, transcripts, demographics, and an official subject-level split
Academic access — Hugging Face gated download; approved only after the signed user agreement PDF is emailed

Dataset Statistics

Property	Value
Participants	646 (309 men / 309 women / 28 non-binary)
Videos	3,876 (~85 hours)
Age	36.69 ± 11.92 years
Work experience	15.96 ± 11.36 years
Personality labels	HEXACO self-reports + observer ratings
Competency labels	Integrity, Collegiality, Social versatility, Development orientation, Interview performance
Cognitive ability	ICAR g-score (0–28, mean 14.51)
Official split	Subject-level 70 / 10 / 20 (452 / 64 / 130)

Files in this repository

File	Description
`train.csv`	Training split annotations (n=452)
`validation.csv`	Validation split annotations (n=64)
`test.csv`	Test split annotations (n=130)
`user_agreement.pdf`	End-user license / user agreement
Column definitions	See the project page; a codebook may be added in a later commit

Videos will be added in a later release.

Getting Started

Read the User Agreement.
Have a researcher with a permanent position sign the form. Students may be listed as participants.
On this dataset page, click Agree and request access and complete the form (include your Hugging Face username).
Email the signed PDF to Tianyi Zhang at t.zhang@seu.edu.cn, with subject AVI-Personality Dataset Access Request. Put your Hugging Face username in the email so we can match it to the Hub request. Include institution, position, and a brief research statement.
Wait for approval. We do not approve Hub requests until the signed PDF is received (the Hub form cannot attach files). After approval, load the annotations:

from datasets import load_dataset

ds = load_dataset("APAL-SEU/AVI-Personality", token=True)
print(ds)
print(ds["train"][0])

Or download the CSV files from the Files and versions tab after access is granted.

Citation

If you find AVI-Personality useful in your research, please cite:

@article{zhang2026AVI-Personality,
      author={Zhang, Tianyi and Shang, Jinwenxi and Koutsoumpis, Antonis and Zong, Yuan and de Vries, Reinout E. and Zheng, Wenming},
      title={AVI-Personality: A Trait-Activated Multimodal Dataset for Personality and Competency Assessment in Asynchronous Video Interviews}, 
      year={2026},
      eprint={2608.25316},
      archivePrefix={arXiv},
      primaryClass={cs.HC},
      url={https://arxiv.org/abs/2608.25316}, 
}

License

The dataset is released for academic, non-commercial, not-for-profit research. Use of AVI-Personality requires agreeing to the User Agreement.

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Paper for APAL-SEU/AVI-Personality

AVI-Personality: A Trait-Activated Multimodal Dataset for Personality and Competency Assessment in Asynchronous Video Interviews

Paper • 2608.25316 • Published Aug 26