Visual Bank Inc. (Minato-ku, Tokyo; CEO: Saneyuki Nagai; hereinafter “Visual Bank”) has launched a new dataset titled “Japanese Two-Speaker Technology-Themed Speech Transcripts” as part of Qlean Dataset, its AI training data solution operated through its subsidiary, Amana Images Inc.

This dataset is a new addition to AI Data Recipe, Qlean Dataset’s machine learning dataset lineup. It consists of Japanese two-speaker conversational speech centered on technology and IT topics, along with corresponding speech transcripts.
The conversations cover multiple contextual layers, including references to recent technological developments such as generative AI, related industry news, and practical usage ideas from everyday perspectives. The dialogues are unscripted and progress naturally through questions, explanations, opinion exchanges, comparisons, and real-world examples, closely reflecting authentic technical discussions.
The dataset is suitable for research and development across AI models that handle both speech and text, including automatic speech recognition (ASR), natural language processing (NLP), and conversational speech AI systems.

Overview of the “Japanese Two-Speaker Technology-Themed Speech Transcripts”

Use Cases for the Japanese Two-Speaker Technology Dialogue Dataset

Research Applications

• Understanding Speaker Roles in Technical Dialogue
  Two-speaker conversations on generative AI and IT topics support analysis of how questions, explanations, agreement, and disagreement unfold in natural technical discussions.

• Evaluating ASR Performance on Technical Speech
  Dialogue speech and transcripts containing technical terms enable evaluation of ASR accuracy and error patterns beyond everyday conversation.

• Dialogue Understanding in Technology News Contexts
  Conversations referencing recent technologies and news can be used to test topic tracking, contextual understanding, and key information extraction models.

Industrial Applications

• Training Conversational AI for Technical Domains
  Dialogue data discussing generative AI and IT services can be used to train speech-based conversational AI and chatbots that require technical context understanding.

• Speech-to-Text and Summarization for Technical Content
  Long-form technology conversations support the development of transcription, summarization, and highlight extraction models for technical audio content.

• Validating Models for Technical Support and Knowledge Sharing
  Practical conversations about IT tools and workflows are suitable for evaluating speech recognition and dialogue understanding models for internal use.

Other Practical Applications

• Dialogue-Based Learning and Education
  Clear, accessible explanations of technical topics make the dataset useful for developing dialogue-based learning and explanation support models in AI and IT education.

About Qlean Dataset

Qlean Dataset is a commercial-use-ready AI training data solution provided by Amana Images Inc., a subsidiary of Visual Bank Inc.
It supports a wide range of data types, including images, videos, audio, 3D assets, and text, enabling both research and commercial AI development in a legally safe environment.
Through collaborations with data partners such as Chiba Lotte Marines Co., Ltd. and Toyo Keizai Inc., Qlean Dataset continues to expand its specialized, industry-focused lineup known as the “AI Data Recipe.”
By reducing the operational burden of data collection and preparation, Qlean Dataset helps organizations establish AI development environments that are both legally compliant and risk-free.

▶ Qlean Dataset: https://qleandataset.visual-bank.co.jp/en
▶ AI Data Recipe: https://qleandataset.visual-bank.co.jp/en/lineup

Key Features of Qlean Dataset

• Existing datasets deliverable within one business day

• Custom data collection and recording services available

▶ Contact: https://qleandataset.visual-bank.co.jp/en/contact

About Visual Bank Inc.

Visual Bank Inc. is a Tokyo-based startup building Next-Generation Data infrastructure to enhance AI development capabilities under the mission “Unlocking Data Accessibility.”
The company operates THE PEN, an AI-assisted creative tool for manga artists and the Qlean Dataset service.
Its subsidiaries include Amana Images Inc., one of Japan’s largest photostock providers; Qlean Dataset, which leads research and development in AI data; and THE PEN Inc., an AI-assisted creative tool for manga artists.

CEO: Saneyuki Nagai
Address: 6F, C-Cube Minami Aoyama Building, 7-1-7 Minami-Aoyama, Minato-ku, Tokyo 107-0062
Corporate Site: https://visual-bank.co.jp/en
Amana Images: https://qleandataset.visual-bank.co.jp/en/company-overview