We present PhysInOne, a large-scale synthetic dataset addressing the critical scarcity of physically-grounded training data for AI systems. Unlike existing datasets limited to merely hundreds or thousands of examples, PhysInOne provides 2 million videos across 153,810 dynamic 3D scenes, covering 71 basic physical phenomena in mechanics, optics, fluid dynamics, and magnetism. Distinct from previous works, our scenes feature multiobject interactions against complex backgrounds, with comprehensive ground-truth annotations including 3D geometry, semantics, dynamic motion, physical properties, and text descriptions. We demonstrate PhysInOne's efficacy across four emerging applications: physics-aware video generation, long-/short-term future frame prediction, physical property estimation, and motion transfer. Experiments show that fine-tuning foundation models on PhysInOne significantly enhances physical plausibility, while also exposing critical gaps in modeling complex physical dynamics and estimating intrinsic properties. As the largest dataset of its kind, orders of magnitude beyond prior works, PhysInOne establishes a new benchmark for advancing physics-grounded world models in generation, simulation, and embodied AI.
A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts
DISI, University of Trento（特伦托大学DISI学院）；DI, University of Pisa（比萨大学DI学院）；Fondazione Bruno Kessler（布鲁诺·凯塞勒基金会）；University of Padova（帕多瓦大学）；University of Edinburgh（爱丁堡大学）；CIMeC, University of Trento（特伦托大学CIMeC中心）
University of California, Berkeley（加州大学伯克利分校）；Nanyang Technological University（南洋理工大学）；Northeastern University（东北大学）；University of Tübingen（图宾根大学）；Johns Hopkins University（约翰霍普金斯大学）；University of Michigan（密歇根大学）；University of Southern California（南加州大学）；Washington University in St. Louis（圣路易斯华盛顿大学）；Shanghai Jiao Tong University（上海交通大学）；East China Normal University（华东师范大学）；Stanford University（斯坦福大学）；University of Texas at Austin（得克萨斯大学奥斯汀分校）；University of California, Los Angeles（加州大学洛杉矶分校）；Cornell University（康奈尔大学）；San Jose State University（圣何塞州立大学）；University of California, Irvine（加州大学尔湾分校）；Technical University of Munich（慕尼黑技术大学）；University of California, San Diego（加州大学圣地亚哥分校）；Imperial College London（伦敦帝国学院）；University of Wisconsin--Madison（威斯康星大学麦迪逊分校）；University of Edinburgh（爱丁堡大学）；Hong Kong University of Science（香港科学大学）；New York University（纽约大学）；Auburn University（阿伯丁大学）；Columbia University（哥伦比亚大学）；University of Bristol（布里斯托大学）；University of Waterloo（滑铁卢大学）；The Chinese University of Hong Kong（香港中文大学）；Carnegie Mellon University（卡内基梅隆大学）；University of Oxford（牛津大学）；University of North Carolina at Chapel Hill（北卡罗来纳大学教堂山分校）
KFinEval-Pilot: A Comprehensive Benchmark Suite for Korean Financial Language Understanding
Korea Financial Telecommunications and Clearings Institute（韩国金融电信与清算院）；Teddysum Inc.（泰迪萨姆公司）；SELECTSTAR Inc.（SELECTSTAR公司）；Konyang University（建阳大学）；Seoultech（首尔科技大学）；KAIST（韩国科学技术院）
LeanCat: A Benchmark Suite for Formal Category Theory in Lean (Part I: 1-Categories)
Yau Mathematical Sciences Center, Tsinghua University（清华大学尤洋数学科学中心）；Iluvatar CoreX；Department of Mathematics, Southern University of Science and Technology（南方科技大学数学系）；Westlake Institute for Advanced Study, Westlake University（西湖研究学院）；Qiuzhen College, Tsinghua University（清华大学齐臻学院）；Department of Physics, The Chinese University of Hong Kong（香港中文大学物理系）；Yanqi Lake Beijing Institute of Mathematical Sciences and Applications (BIMSA)（燕琦湖北京应用数学研究所（BIMSA））
VBVR-Pro: A Scalable and Verifiable Suite for Native Visual Reasoning
Nanyang Technological University（南洋理工大学）；University of California, Berkeley（加州大学伯克利分校）；University of California, San Diego（加州大学圣地亚哥分校）；The University of Tokyo（东京大学）；The Chinese University of Hong Kong（香港中文大学）；University of Michigan（密歇根大学）；Johns Hopkins University（约翰霍普金斯大学）；University of California, Davis（加州大学戴维斯分校）；University of California, Los Angeles（加州大学洛杉矶分校）；Carnegie Mellon University（卡内基梅隆大学）；Columbia University（哥伦比亚大学）；University of Toronto（多伦多大学）
How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs
Mohamed Bin Zayed University of AI（穆罕默德·本·扎耶德人工智能大学）；ETH Zurich（苏黎世联邦理工学院）；Google（谷歌公司）；TU Munich（慕尼黑工业大学）；Linköping University（林雪平大学）；Australian National University（澳大利亚国立大学）
