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maknee /leaague-of-legends-decoded-replay-packets-s12-unorganized Disclaimer This work isn’t endorsed by Riot Games and doesn’t reflect the views or opinions of Riot Games or anyone officially involved in producing or managing League of Legends. League of Legends and Riot Games are trademarks or registered trademarks of Riot Games, Inc. Citation If you use this dataset in your research, please cite: @dataset{league_of_legends_decoded_replay_packets_2025, title={League of Legends Decoded Replay Packets Dataset}, author={maknee}… See the full description on the dataset page: https://huggingface.co/datasets/maknee/leaague-of-legends-decoded-replay-packets-s12-unorganized.1 likes12k downloads11mo agoHugging FaceSamuelsantos777 /psg-audio-v3-unofficial-mirror PSG-Audio v3 — Unofficial Complete Mirror Unofficial complete mirror of the publicly released PSG-Audio Version 3 dataset. This repository preserves the original files without modification and provides a reliable, high-speed mirror through the Hugging Face Hub for the research community. Overview PSG-Audio v3 is one of the largest publicly available multimodal sleep datasets, combining overnight clinical polysomnography (PSG) with synchronized environmental… See the full description on the dataset page: https://huggingface.co/datasets/Samuelsantos777/psg-audio-v3-unofficial-mirror.textaudio-classificationn<1K1 likes7.7k downloads2mo agoHugging FaceSpaceML /UnorthoDOS UnorthoDOS - Unorthorectified Dataset for On board Satellite methane detection This repository contains two ML-ready datasets, comprising orthorectified and unorthorectified hyperspectral images from the Earth Surface Mineral Dust Source Investigation (EMIT) sensor, for methane detection. This dataset supports the research presented in the paper Towards Methane Detection Onboard Satellites. Paper: Towards Methane Detection Onboard Satellites Code:… See the full description on the dataset page: https://huggingface.co/datasets/SpaceML/UnorthoDOS.image-segmentation1 likes1.9k downloads11mo agoHugging Facemeituan-longcat /UNO-Bench UNO-Bench: A Unified Benchmark for Exploring the Compositional Law Between Uni-modal and Omni-modal in Omni Models 🔔News 🔥[2025/12/04] We have released the evaluation scripts uno-eval, a unified evaluation framework for omni-modal benchmarks. More benchmarks will be supported in the future. 🔥[2025/12/04] We have released the scoring model UNO-Scorer-Qwen3-14B. Feel free to use it! 👀 UNO-Bench Overview Multimodal Large Languages models have… See the full description on the dataset page: https://huggingface.co/datasets/meituan-longcat/UNO-Bench.audio1K<n<10K23 likes1.2k downloads10mo agoHugging FaceRoboCOIN /G1edu-u3_pullBowl_storage_bread_unordered_agated G1edu-u3_pullBowl_storage_bread_unordered_a 📋 Overview This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot. Robot Type: Unitree_G1_Dex3_phecda | Codebase Version: v2.1 End-Effector Type: five_finger_hand 🏠 Scene Types This dataset covers the following scene types: home 🤖 Atomic Actions This dataset includes the following atomic actions: grasp pick place 📊 Dataset Statistics Metric Value… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/G1edu-u3_pullBowl_storage_bread_unordered_a.tabularrobotics100K<n<1M0 likes863 downloads9mo agoHugging FaceRoboCOIN /G1edu-u3_pullBowl_storage_bread_unordered_bgated G1edu-u3_pullBowl_storage_bread_unordered_b 📋 Overview This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot. Robot Type: Unitree_G1_Dex3_phecda | Codebase Version: v2.1 End-Effector Type: five_finger_hand 🏠 Scene Types This dataset covers the following scene types: home kitchen 🤖 Atomic Actions This dataset includes the following atomic actions: grasp pick receive place 📊 Dataset Statistics… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/G1edu-u3_pullBowl_storage_bread_unordered_b.tabularrobotics100K<n<1M0 likes802 downloads9mo agoHugging Face

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