Japanese Spontaneous Conversation Training Dataset, 10 Hours of Mobile Recordings

10 hours of Japanese conversational speech recorded using mobile devices to mirror real-world usage. The dataset is designed in a conversation-based style to capture interactive communication for authentic model training. It was created by MagicDataTech and last updated on June 10, 2026.

Use Cases

• Train speech recognition models based on spontaneous Japanese conversational speech.
• Fine-tune language models for natural dialogue generation based on interactive conversation data.
• Benchmark model performance in authentic conversational environments as described.
• Develop noise-robust audio processing models based on real-world mobile recordings.

Strengths

• 10 hours of total audio duration.
• Recordings made with mobile devices to reflect actual usage scenarios.
• Designed to capture the interactive and complex nature of everyday communication.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Freshness should be verified as the last update is dated 2026-06-10.

Provenance

Source

MagicDataTech

Collection Method

Recordings made using mobile devices.

Freshness

Last updated 2026-06-10 08:00:35.