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Dataset Β· Hugging Face

JusperLee/Hive-ALL

A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation Kai Li*, Jintao Cheng*, Chang Zeng, Zijun Yan, Helin Wang, Zixiong Su, Bo Zheng, Xiaolin Hu Tsinghua University, Shanda AI, Johns Hopkins University *Equal contribution πŸ“œ Arxiv 2026 | 🎢 Demo | πŸ€— Metadata | πŸ€— Hive-ALL Audio | πŸ€— Space πŸ’₯ News [2026-05-21] Hive-ALL is now also available on ModelScope for users in China who prefer faster downloads via… See the full description on the dataset page: https://huggingface.co/datasets/JusperLee/Hive-ALL.

Author / organizationJusperLee
License (as declared)apache-2.0
Downloads594 (as reported by Hugging Face)
Likes1
Created10 May 2026
Last updated at source26 May 2026
audio-separationuniversal-separationaudio-scene-understanding
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594 now (+5 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

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  • 16 Oct 2026 Description: A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation Kai Li*, Jintao Cheng*, Chang Zeng, Zijun Yan, Helin Wang, Zixiong Su, Bo Zheng, Xiaolin Hu Tsinghua University, Shanda AI, Johns Hopkins University β†’ A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation Kai Li*, Jintao Cheng*, Chang Zeng, Zijun Yan, Helin Wang, Zixiong Su, Bo Zheng, Xiaolin Hu Tsinghua University, Shanda AI, Johns Hopkins University

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