Qlean Dataset Launches 'Self-PR Video Dataset of Japanese New Graduates for Recruitment Selection'
Visual Bank has launched a video dataset of Japanese new graduates simulating job interviews through 'Qlean Dataset'. It is optimized for training multimodal AI to analyze non-verbal communication.
📋 Article Processing Timeline
- 📰 Published: April 3, 2026 at 18:01
- 🔍 Collected: April 3, 2026 at 09:30
- 🤖 AI Analyzed: April 21, 2026 at 06:25 (428h 55m after Collected)
Visual Bank Inc. (Minato-ku, Tokyo, CEO: Masayuki Nagai) is launching the "Self-PR Video Dataset of Japanese New Graduates for Recruitment Selection", optimized for extracting dynamic human features during job hunting and training advanced multimodal analysis models, through the AI training data solution "Qlean Dataset" operated by its subsidiary Amana Images Inc.
This dataset consists of video data and meta-information that faithfully reproduces modern recruitment scenes where online interviews and video screening have become common. It records young Japanese people, assuming they are new graduate job seekers, talking about their strengths and episodes to the camera. It adopts the frontal bust-up angle common in online interviews, providing visual and audio information close to the actual selection environment.
The recorded content includes both a free-talk format, where the speaker's emotions and intonation are easily reflected, and a scripted reading format where the spoken content is fixed. This configuration is suitable not only for improving the accuracy of automatic speech recognition (ASR) but also for analyzing qualitative communication elements such as non-verbal information like gaze, facial expression changes, and speech fluency. In addition, since this dataset can be expanded through custom model assignment, it can flexibly respond to customization tailored to deep needs in the voice and language domain, such as expanding voice data focused on specific attributes or securing long speech data.
This data is provided as one of the "AI Data Recipes", an original data lineup for AI development developed by Qlean Dataset, strongly supporting AI projects eyeing social implementation, from the implementation of next-generation recruitment support AI to the development of educational and training products such as selection preparation. Visual Bank and Amana Images will continue to support the research and development of AI that accurately understands and analyzes human behavior by providing structured data capturing various scenes in Japan.
## Overview of the "Self-PR Video Dataset of Japanese New Graduates for Recruitment Selection" launched this time
Data Type: Video
Subject Attributes: Japanese (young people assuming new graduate job seekers), with gender information
Data Capacity: (ends with `<td colspan="1" rowspan="1" columnwidt`)
This dataset consists of video data and meta-information that faithfully reproduces modern recruitment scenes where online interviews and video screening have become common. It records young Japanese people, assuming they are new graduate job seekers, talking about their strengths and episodes to the camera. It adopts the frontal bust-up angle common in online interviews, providing visual and audio information close to the actual selection environment.
The recorded content includes both a free-talk format, where the speaker's emotions and intonation are easily reflected, and a scripted reading format where the spoken content is fixed. This configuration is suitable not only for improving the accuracy of automatic speech recognition (ASR) but also for analyzing qualitative communication elements such as non-verbal information like gaze, facial expression changes, and speech fluency. In addition, since this dataset can be expanded through custom model assignment, it can flexibly respond to customization tailored to deep needs in the voice and language domain, such as expanding voice data focused on specific attributes or securing long speech data.
This data is provided as one of the "AI Data Recipes", an original data lineup for AI development developed by Qlean Dataset, strongly supporting AI projects eyeing social implementation, from the implementation of next-generation recruitment support AI to the development of educational and training products such as selection preparation. Visual Bank and Amana Images will continue to support the research and development of AI that accurately understands and analyzes human behavior by providing structured data capturing various scenes in Japan.
## Overview of the "Self-PR Video Dataset of Japanese New Graduates for Recruitment Selection" launched this time
Data Type: Video
Subject Attributes: Japanese (young people assuming new graduate job seekers), with gender information
Data Capacity: (ends with `<td colspan="1" rowspan="1" columnwidt`)