Add dataset card and metadata for ThinkOmni

README.md

@@ -0,0 +1,35 @@
+---
+task_categories:
+- image-text-to-text
+- video-text-to-text
+- audio-text-to-text
+---
+
+# ThinkOmni Evaluation Dataset
+
+This repository contains the evaluation datasets for **ThinkOmni**, a training-free framework that lifts textual reasoning to omni-modal scenarios via guidance decoding.
+
+ThinkOmni enhances omni-modal large language models (OLLMs) with the reasoning capabilities of large reasoning models (LRMs) at decoding time, adaptively balancing perception and reasoning signals.
+
+- **Paper:** [ThinkOmni: Lifting Textual Reasoning to Omni-modal Scenarios via Guidance Decoding](https://huggingface.co/papers/2602.23306)
+- **Repository:** [https://github.com/1ranGuan/thinkomni](https://github.com/1ranGuan/thinkomni)
+
+### Dataset Contents
+
+This collection includes the following evaluation sets used in the paper:
+- **MMAU**
+- **OmniBench**
+- **Daily-Omni**
+
+### Citation
+
+If you find this work or these datasets useful, please cite:
+
+```bibtex
+@inproceedings{guan2026thinkomni,
+  title={ThinkOmni: Lifting Textual Reasoning to Omni-modal Scenarios via Guidance Decoding},
+  author={Guan, Yiran and Tu, Sifan and Liang, Dingkang and Zhu, Linghao and Ju, Jianzhong and Luo, Zhenbo and Luan, Jian and Liu, Yuliang and Bai, Xiang},
+  booktitle={International Conference on Learning Representations (ICLR)},
+  year={2026}
+}
+```