Peaceful Data

non-profit

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AI & ML interests

Peacefully Open Source Post-Processing Speech and Language Resources Toward Research Community.

Recent Activity

Qingren published a model 16 days ago

PeacefulData/TSFM-ScalingLaws-Checkpoints

Qingren updated a model 16 days ago

PeacefulData/TSFM-ScalingLaws-Checkpoints

rhachiuma authored a paper about 1 month ago

Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks

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Peaceful Data is an non-profit organization aiming to share reproducible speech processing and spoken language modeling resources.

Current Mememebrs

Chen Chen, Nanyang Technological University
YuChen Hu, Nanyang Technological University
Srijith Radhakrishnan, CMU
Yen-Ting Lin, National Taiwan University
Yusuke Hirota, Osaka University
Qingren Yao, Griffith University
Huck Yang, NVIDIA Research

models 4

PeacefulData/TSFM-ScalingLaws-Checkpoints

Updated 16 days ago

PeacefulData/GenTranslate

Text Generation • Updated May 18, 2024 • 2

PeacefulData/UADFusionGER

Text Generation • Updated May 5, 2024 • 2

PeacefulData/RobustGER

Text Generation • Updated Apr 30, 2024 • 5

datasets 6

PeacefulData/HypoTranslate

Updated May 18, 2024 • 1.37k • 1

PeacefulData/Robust-HyPoradise

Updated May 17, 2024 • 599 • 5

PeacefulData/HyPoradise-pilot

Viewer • Updated Apr 29, 2024 • 305k • 137 • 1

PeacefulData/HyPoradise-v0

Preview • Updated Mar 11, 2024 • 291 • 2

PeacefulData/ATIS-Self-Align-v0

Updated Feb 29, 2024 • 13

PeacefulData/HyPoradise-v1-GigaSpeech

Viewer • Updated Feb 6, 2024 • 32.7k • 99 • 3