open-data
10Kh-RealOmin-OpenData
Boasting over 13,000 hours of cumulative data and 5 million+ clips, it ranks as the largest open-source embodied intelligence dataset in the industry.
Update Notes：Stage 3 data upload completed.
13,000+ hours of pure dual-hand data with frame-level alignment latency < 1ms
Full high-precision trajectory reconstruction, breaking the limit of superficial open source, fully ready-to-use
3,000+ contributors and 10,000+ real household scenarios with exceptional diversity… See the full description on the dataset page: https://huggingface.co/datasets/genrobot2025/10Kh-RealOmin-OpenData.Honey-Data-15M
Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs
[🏠 Homepage] [📖 Arxiv Paper] [🤗 Models & Datasets] [💻 Code]
Introduction
We introduce Bee-8B, a new state-of-the-art, fully open 8B Multimodal Large Language Model (MLLM) designed to close the performance gap with proprietary models by focusing on data quality.
Bee-8B is trained on our new Honey-Data-15M corpus, a high-quality supervised fine-tuning (SFT) dataset of approximately 15… See the full description on the dataset page: https://huggingface.co/datasets/Open-Bee/Honey-Data-15M.ua-open-data
Україна: дзеркало відкритих даних (data.gov.ua)
Автоматичне дзеркало публічних наборів data.gov.ua,
яке підтримує пайплайн JoTalbot/ukraine.
Набори
Набір
Файлів
Джерело
Єдиний державний реєстр юридичних осіб, фізичних осіб-підприємців та громадських формувань
6
—
Реєстр декларацій родинних зв’язків та доброчесності
14
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Державний судновий реєстр України
9
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Публічні закупівлі на сайті Prozorro
1
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Інформація щодо стану розгляду справ
5
—… See the full description on the dataset page: https://huggingface.co/datasets/JoTalbot/ua-open-data.OmniDocBench
OmniDocBench
English | 简体中文
OmniDocBench is an evaluation dataset for diverse document parsing in real-world scenarios, with the following characteristics:
Diverse Document Types: The evaluation set contains 1651 PDF pages, covering 10 document types, 5 layout types and 5 language types. Coverage includes academic literature, research and financial reports, newspapers, textbooks, exam papers, magazines, handwritten notes, historical documents, and more.
Rich Annotations:… See the full description on the dataset page: https://huggingface.co/datasets/opendatalab/OmniDocBench.nq_open
Dataset Card for nq_open
Dataset Summary
The NQ-Open task, introduced by Lee et.al. 2019,
is an open domain question answering benchmark that is derived from Natural Questions.
The goal is to predict an English answer string for an input English question.
All questions can be answered using the contents of English Wikipedia.
Supported Tasks and Leaderboards
Open Domain Question-Answering,
EfficientQA Leaderboard:… See the full description on the dataset page: https://huggingface.co/datasets/google-research-datasets/nq_open.Galaxea-Open-World-Dataset
Galaxea Open-World Dataset
Key Features
500+ hours of real-world mobile manipulation data.
All data collected using one uniform robotic embodiment (R1-Lite) for consistency.
Fine-grained subtask language annotations (bilingual Chinese/English).
Covers residential, kitchen, retail, and officesettings.
Dataset in LeRobot v2.1 format.
Dataset Structure
The dataset is organized as 227 task-level tar.gz archives under the lerobot/ directory. Each… See the full description on the dataset page: https://huggingface.co/datasets/OpenGalaxea/Galaxea-Open-World-Dataset.