FinVolution Group has officially launched the 2026 FinVolution Global Data Science Competition. This year’s challenge focused on turn-taking modeling in conversations, with the aim of giving voice AI a sense of when to speak.
Voice interaction has reached the native-audio era, with AI now responding in real time. What it still lacks is something humans do by instinct: knowing when to take a turn, when to stay silent, and when a brief “mm-hm” is the right reply. Without it, even the fastest model talks over users or lets dialogue stall.
This year’s participants will be given thirty seconds of dual-channel dialogue as context, predict the speech events likely to occur in the next 800 milliseconds, equipping AI with the social intuition to read user intent and respond at the right moment.
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The dataset behind the challenge is built from real dual-channel telephone conversations recorded across 35 regions of China, spanning a wide range of dialects and speaking styles. Audio comes paired with ASR transcripts and word-level timestamps, allowing participants to build pure-audio or multimodal systems.
“For more than a decade, this competition has been our way of connecting academic research with real-world application,” said Tiezheng Li, CEO of FinVolution Group. “Turn-taking is one of the open problems in voice interaction today. We hope what’s built here reaches far beyond research, letting millions of users experience more natural, more human conversation in everyday life.”
The 2026 challenge is supported by the China Computer Federation(CCF) Technical Committee on Natural Language Processing as academic advisor, in collaboration with Fudan University’s Natural Language Processing Lab. It is also an official partner competition of the 15th CCF International Conference on Natural Language Processing and Chinese Computing(NLPCC 2026). Top-performing teams will earn a direct path to present at NLPCC 2026 alongside the global NLP research community.
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