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diff --git a/README.md b/README.md
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+---
+task_categories:
+- image-text-to-text
+- video-text-to-text
+- object-detection
+- image-segmentation
+language:
+- en
+---
+
+# OneThinker-600k Training Data
+
+This repository contains the training data for **OneThinker**, an all-in-one reasoning model for image and video, as presented in the paper [OneThinker: All-in-one Reasoning Model for Image and Video](https://arxiv.org/abs/2512.03043).
+
+**Code**: [https://github.com/tulerfeng/OneThinker](https://github.com/tulerfeng/OneThinker)
+
+<div align="center">
+  <img src="https://github.com/tulerfeng/OneThinker/blob/main/assets/teaser.png?raw=true" alt="OneThinker teaser" width="95%">
+
+</div>
+
+
+
+## About the OneThinker Dataset
+
+**OneThinker-600k** is a large-scale multi-task training corpus designed to train `OneThinker`, an all-in-one multimodal reasoning model capable of understanding images and videos across diverse fundamental visual tasks. This corpus includes **OneThinker-SFT-340k**, which features high-quality Chain-of-Thought (CoT) annotations produced by a strong proprietary model (Seed1.5-VL) for effective Supervised Fine-Tuning (SFT) cold start.
+
+
+<div align="center">
+  <img src="https://github.com/tulerfeng/OneThinker/blob/main/assets/dataset.png?raw=true" alt="OneThinker dataset" width="95%">
+</div>
+
+The dataset covers both image and video modalities and spans a series of fundamental visual reasoning tasks, including:
+*   Rule-based Question Answering (QA)
+*   Open-ended Question Answering (QA)
+*   Captioning
+*   Spatial Grounding
+*   Temporal Grounding
+*   Spatio-Temporal Grounding
+*   Tracking
+*   Segmentation
+
+## Dataset Files
+
+The OneThinker training data consists of several JSON files tailored for different training stages:
+*   `onethinker_rl_train.json`: Used for Reinforcement Learning (RL) training.
+*   `onethinker_sft_image.json`: Used for Supervised Fine-Tuning (SFT) cold start on image data.
+*   `onethinker_sft_video.json`: Used for Supervised Fine-Tuning (SFT) cold start on video data.
+
+Files ending with `_unsampled` represent the full, unsampled versions of these datasets.
+
+
+## Citations
+
+If you find our work helpful for your research, please consider citing our work:
+
+```bibtex
+@article{feng2025onethinker,
+  title={OneThinker: All-in-one Reasoning Model for Image and Video},
+  author={Feng, Kaituo and Zhang, Manyuan and Li, Hongyu and Fan, Kaixuan and Chen, Shuang and Jiang, Yilei and Zheng, Dian and Sun, Peiwen and Zhang, Yiyuan and Sun, Haoze and others},
+  journal={arXiv preprint arXiv:2512.03043},
+  year={2025}
+}
+```
\ No newline at end of file
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