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simple-world-lab /HiFi-UMI-2K HiFi-UMI-2K: High-Fidelity Robot-Free Manipulation Data 2,000 hours released · 6 synchronized camera views · 480+ scenes · 3 mm pose accuracy · <40 µs synchronization 🌐 Project Website | 📦 Dataset | 📄 Paper: arXiv:2607.25895 Examples from the HiFi-UMI corpus. Click the image to play the video. 📚 Introduction HiFi-UMI is a portable, high-fidelity bimanual capture system for collecting robot-free manipulation demonstrations.… See the full description on the dataset page: https://huggingface.co/datasets/simple-world-lab/HiFi-UMI-2K.tabularrobotics100M<n<1B55 likes123k downloads2mo agoHugging Facesimplescaling /s1K-1.1 Dataset Card for s1K Dataset Summary s1K-1.1 consists of the same 1,000 questions as in s1K but with traces instead generated by DeepSeek r1. We find that these traces lead to much better performance. Usage # pip install -q datasets from datasets import load_dataset ds = load_dataset("simplescaling/s1K-1.1")["train"] ds[0] Dataset Structure Data Instances An example looks as follows: { 'solution': '1. **Rewrite the function using… See the full description on the dataset page: https://huggingface.co/datasets/simplescaling/s1K-1.1.text1K<n<10K157 likes14k downloads2y agoHugging FaceUCSC-VLAA /gpt-edit-simplerimage1M<n<10M13 likes14k downloads1y agoHugging Facesimplescaling /aime24_nofiguresThe 30 problems from AIME 2024 only with the ASY code for figures when it is necessary to solve the problem. Figure code that is not core to the problem was excluded. Citation Information @misc{muennighoff2025s1simpletesttimescaling, title={s1: Simple test-time scaling}, author={Niklas Muennighoff and Zitong Yang and Weijia Shi and Xiang Lisa Li and Li Fei-Fei and Hannaneh Hajishirzi and Luke Zettlemoyer and Percy Liang and Emmanuel Candès and Tatsunori Hashimoto}… See the full description on the dataset page: https://huggingface.co/datasets/simplescaling/aime24_nofigures.textn<1K2 likes13k downloads1y agoHugging Facesimplescaling /s1K Dataset Card for s1K Dataset Summary s1K is a dataset of 1,000 examples of diverse, high-quality & difficult questions with distilled reasoning traces & solutions from Gemini Thining. Refer to the s1 paper for more details. Usage # pip install -q datasets from datasets import load_dataset ds = load_dataset("simplescaling/s1K")["train"] ds[0] Dataset Structure Data Instances An example looks as follows: { 'solution': '1. **Rewrite… See the full description on the dataset page: https://huggingface.co/datasets/simplescaling/s1K.text1K<n<10K241 likes13k downloads2y agoHugging Facehkust-nlp /SimpleRL-Zoo-Datatext10K<n<100K13 likes10k downloads1y agoHugging Face