polaris
Gemma3-27B-it-vl-Polaris-HI16-Heretic-Uncensored-INSTRUCT-i1-GGUFgemma-3-12b-it-vl-Polaris-GLM-4.7-Flash-VAR-Thinking-Instruct-Heretic-Uncensored-i1-GGUFPolaris-VGA-9B-Post1.0e-i1-GGUFPolaris-VGA-27B-Post1.0e-i1-GGUFQwen3.5-13B-GLM-4.7-Flash-DeepSeek-Polaris-Grande-Deep-Thinking-i1-GGUFgemma-3-12b-it-vl-HighIQ-Polaris-Heretic-Uncensored-Thinking-i1-GGUFQwen3.6-27B-Architect-Polaris2-Fable-B-F451-F32-i1-GGUFgemma-3-12b-it-vl-Polaris-GLM-4.7-Flash-VAR-Thinking-Instruct-Heretic-Uncensored-mlx-8Bit
Datasets
All datasets matching “polaris”Polaris
Polaris Dataset
🌟 [CVPR24] Polos: Multimodal Metric Learning from Human Feedback for Image Captioning
Accepted at CVPR 2024
🌐 project page
📄 arXiv
🤗 Dataset
Establishing an automatic evaluation metric that closely aligns with human judgements is essential for the effective development of image captioning models. Data-driven metrics have recently gained prominence in this field, demonstrating a stronger correlation with human judgements than classic metrics such as CIDEr and… See the full description on the dataset page: https://huggingface.co/datasets/yuwd/Polaris.Polaris-Dataset-53K
Overview
Training dataset for Polaris Preview models. The dataset is filtered from DeepScaleR-Preview-Dataset and AReal-boba-Data
Format
Each row in the jsonl file contains:
problem: The input problem.
answer: The answer to the problem
difficulty: The pass rate of the problem estimated by Deepseek-R1-distill-Qwen-7B
Citation
@misc{Polaris2025,
title = {POLARIS: A Post-Training Recipe for Scaling Reinforcement Learning on Advanced Reasoning Models}… See the full description on the dataset page: https://huggingface.co/datasets/POLARIS-Project/Polaris-Dataset-53K.PolaRiS-Hub
PolaRiS Hub
PolaRiS Hub is a lightweight collection of reconstructed real-to-sim manipulation environments used for evaluating generalist robot policies in simulation.
It is designed to be used with the PolaRiS evaluation framework.
Instructions on how to use can be found at the Github PolaRiS Codebase
What’s in the Hub
Each environment in PolaRiS Hub includes:
A reconstructed scene (mesh + Gaussian splats)
Canonical initial conditions
A language instruction… See the full description on the dataset page: https://huggingface.co/datasets/owhan/PolaRiS-Hub.PolaRiS-datasets
Updates
As of 12/19/2025, this cotraining dataset has been updated to contain the OOD dataset as described the paper.
polaris-bench
The Cartesian Shortcut: Re-evaluate Vision Reasoning in Polar Coordinate Space
Polaris-Bench: Official Evaluation Dataset
Xia Hu1,
Zhenrui Yue1,
Brian Potetz1,
Howard Zhou1,
Leonidas Guibas1,2,
Chun-Ta Lu3,
Zhicheng Wang1
1Google DeepMind 2Stanford University 3Google Research
Overview
As current Multimodal Large Language Models (MLLMs) rapidly saturate canonical visual reasoning benchmarks, a key… See the full description on the dataset page: https://huggingface.co/datasets/google/polaris-bench.bento_ur7e_v1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 60,
"features": {
"action": {
"dtype": "float32",
"names": [
"joint_0.pos",
"joint_1.pos",
"joint_2.pos",
"joint_3.pos",
"joint_4.pos",
"joint_5.pos",
"gripper.pos"
],
"shape": [… See the full description on the dataset page: https://huggingface.co/datasets/polarisai-robots/bento_ur7e_v1.