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Browse PQC-verified AI models, datasets, and tools
Boasting over 10,000 hours of cumulative data and 1 million+ clips, it ranks as the largest open-source embodied intelligence dataset in the industry. Compared with other datasets, it has the following advantages: Ample Data Volume & Strong Generalization Each skill is supported by sufficient data, collected from over 3,000 households and nearly 10,000 distinct fine-grained targets. It avoids simple repetitions and ensures robust generalization. Authentic Scenarios & Focused… See the full description on the dataset page: https://huggingface.co/datasets/ad1t7a/10Kh-RealOmin-OpenData.
15T token dataset of cleaned English web data. Deduplicated and filtered from CommonCrawl, outperforms C4 and RefinedWeb for LLM pretraining.
PrimeBot Household Bimanual Manipulation Challenge Dataset 中文 | English 中文 目录 关于我们 更新日志 真机遥操作数据 训练集说明 验证集说明 数据集字段说明 URDF 图像 语言指令 本体感知与动作 机器人推理接口 UMI数据 数据概览 目录结构 数据集字段说明 图像 本体感知与动作 索引字段 标注与 IMU 关于我们 我们来自上纬新材-启元研究院，我们的使命是加速个人机器人时代到来，加速家用机器人时代到来。我们开源高质量面向家庭操作的双臂操作数据集，同时开放机器人硬件描述以供可视化、可复现研究。 如果本数据集对您的工作有帮助，感谢引用： @misc{xu2026scalingbimanualhouseholdmanipulation, title={Scaling Bimanual Household Manipulation from 1,500… See the full description on the dataset page: https://huggingface.co/datasets/challenge-2026/challenge_data.
Dataset Card for CIFAR-10 Dataset Summary The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. The dataset is divided into five training batches and one test batch, each with 10000 images. The test batch contains exactly 1000 randomly-selected images from each class. The training batches contain the remaining images in random order, but some training batches may contain… See the full description on the dataset page: https://huggingface.co/datasets/uoft-cs/cifar10.
MulSeT: A Benchmark for Multi-view Spatial Understanding Tasks Paper: Why Do MLLMs Struggle with Spatial Understanding? A Systematic Analysis from Data to Architecture Code: https://github.com/WanyueZhang-ai/spatial-understanding A high-level overview of the MulSeT benchmark. The dataset challenges models to integrate information from two distinct viewpoints of a 3D scene to answer spatial reasoning questions. 📝 Dataset Summary MulSeT is a comprehensive benchmark… See the full description on the dataset page: https://huggingface.co/datasets/WanyueZhang/MulSeT.
Forecast News Deduplicated daily news corpus used by forecast-sim and future-sim. Snapshot 31,696,086 articles 3,401 daily partitions Coverage: 2016-08-26 through 2026-06-30 Snapshot published: 2026-07-13 Stored data size: approximately 168.8 GB The Parquet files are the canonical complete representation. The repository also contains daily JSONL files where available and compact headline JSON files used by article-browsing workflows. Layout Files… See the full description on the dataset page: https://huggingface.co/datasets/shash42/forecast-news.
ERA5 Based on Hersbach et al. 2020 with data exposed through Copernicus C3S API 26 variable subset of data as described in Table 3 of Bonev et al. 2023. Each file contains all 26 variables sampled every 6 hours (starting with 00:00:00) for an entire month in a given year.