Datasets:
audio
audioduration (s) 26.3
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Dataset Card for Japanese audio call center human to machine conversations
This dataset contains synthetic audio conversations in Japanese between human customers and machine agents, simulating real-world call center scenarios
Dataset Details
Dataset Description
- Curated by: AIxBlock (aixblock.io)
- Funded by [optional]: AIxBlock (aixblock.io)
- Shared by [optional]: AIxBlock (aixblock.io)
- Language(s) (NLP): Japanese
- License: Creative Commons Attribution Non Commercial 4.0
- This dataset contains synthetic audio conversations between human customers and machine agents, simulating real-world call center scenarios. Each conversation is designed to reflect natural interaction patterns across a variety of customer service topics.
🗣️ Participants: Human speakers are native Japanese users of diverse ages and genders, ensuring a wide range of speaking styles and acoustic characteristics.
🤖 Dialogue Type: Human-to-machine interactions where the machine agent follows scripted logic to handle queries.
🎧 Audio Format: High-quality stereo audio recordings, wav, suitable for speech recognition, speaker diarization, and conversational AI research.
Dataset Sources [optional]
- Link to download in full (pls note that data is heavy so we cant upload all files directly to HF): https://drive.google.com/drive/folders/1N_iqwmP7kT9lF7IKIlv5_Mo5b7x2EKCn?usp=sharing
Uses
Direct Use
You can download this dataset and use it to fine-tune your models.
Out-of-Scope Use
You are not allowed to download this dataset and re-sell to someome.
Personal and Sensitive Information
All PII info in conversations are made up, but following real patterns.
Citation [optional]
More Information [optional]
More info needed, pls contact us via our discord channel: https://discord.gg/nePjg9g5v6
Dataset Card Authors [optional]
Brought to you by AIxBlock, a decentralized AI development and workflow automation platform
Dataset Card Contact
Discord: https://discord.gg/nePjg9g5v6 Please give us a follow on HF if you want to access our newly released dataset. Follow us on Github to access some rare dataset and our sourcecode: https://github.com/AIxBlock-2023/aixblock-ai-dev-platform-public
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