Model Hub
Browse PQC-verified AI models, datasets, and tools
Gen-HumanEgo 1,800+ hours of egocentric human demonstrations with synchronized, structured supervision for embodied AI and robot learning. Gen-HumanEgo contains real-world first-person demonstrations collected across diverse tasks, people, environments, and ways of performing activities using a unified six-camera DAS-Ego setup. GenRobot's Data Foundation Model (DFM) processes the recordings to provide complementary training signals for human motion, spatial understanding… See the full description on the dataset page: https://huggingface.co/datasets/genrobot2025/Gen-HumanEgo.
Arena Leaderboard Dataset Historical snapshots of the Arena leaderboard. Usage from datasets import load_dataset # Load all historical text style control data ds = load_dataset("lmarena-ai/leaderboard-dataset", "text_style_control", split="full") # Load the current text style control leaderboard ds = load_dataset("lmarena-ai/leaderboard-dataset", "text_style_control", split="latest") # Filter to overall category ds =… See the full description on the dataset page: https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset.
Complete Wikipedia dump across all languages. Standard pretraining data source. Structured articles with metadata.
RW-RL Dataset: Real-World Reinforcement Learning for Robots Human-intervention companion dataset: RW-RL-HIL-Dataset (BodenAI) is a separately hosted release of real-world policy rollouts and human corrections. Download it from its own dataset page. RW-RL Dataset is a real-world robot interaction dataset released by Boden Intelligence, Junpu Innovation Center, and the MINT Lab at Shanghai Jiao Tong University. It is designed for a bottleneck that… See the full description on the dataset page: https://huggingface.co/datasets/MINT-SJTU/RW-RL-Dataset.
DartLab Data Structured company data from DART & EDGAR disclosure filings DART 전자공시 + EDGAR 공시 데이터 — 한국 2,700사 / 미국 970사 What is this? Pre-collected Parquet files from DartLab — a Python library that turns DART (Korea) and EDGAR (US) disclosure filings into one structured company map. 한국 DART 전자공시 시스템과 미국 SEC EDGAR에서 수집한 기업 공시 데이터입니다. This dataset is the data layer behind DartLab. When you run dartlab.Company("005930"), the library automatically downloads the… See the full description on the dataset page: https://huggingface.co/datasets/eddmpython/dartlab-data.
WorldBench WorldBench is a new benchmark designed to evaluate the physical understanding and prediction of modern world models and vision-language models. There are two components: Video based: This is a benchmark designed to evaluate video-to-video world foundation models such as Cosmos. It consists of videos 132 frames long of 425 simulated scenes with RGB, Normals, Depth, Flow, and Segmentations. Text based: This is a subset which adds text-based questions to 181 videos… See the full description on the dataset page: https://huggingface.co/datasets/worldbenchmark/IntuitivePhysics.