Update README.md

README.md

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 - image-to-image
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-# Spatio-Temporal Difference Guided Motion Deblurring with the Complementary Vision Sensor
+<div align="center">
+
+<h1 style="border-bottom: none;">🎥 SportsSloMo-CVS Dataset</h1>
+
+[![arXiv](https://img.shields.io/badge/arXiv-Paper-b31b1b.svg?logo=arxiv)](https://arxiv.org/abs/2604.10554)
+[![Project Page](https://img.shields.io/badge/🏠-Project%20Page-blue.svg)](https://tmcdeblur.github.io/)
+[![GitHub](https://img.shields.io/badge/GitHub-Code-black.svg?logo=github)](https://github.com/Tianmouc/tmcDeblur)
+[![GitHub](https://img.shields.io/badge/GitHub%20Org-TianMouCV-black.svg?logo=github)](https://github.com/Tianmouc)
+
+</div>
 
 This repository contains the dataset presented in the paper [Spatio-Temporal Difference Guided Motion Deblurring with the Complementary Vision Sensor](https://huggingface.co/papers/2604.10554).
 
 The Complementary Vision Sensor (CVS), known as Tianmouc, captures synchronized RGB frames together with high-frame-rate, multi-bit spatial difference (SD, encoding structural edges) and temporal difference (TD, encoding motion cues) data within a single RGB exposure. This dataset facilitates research in RGB deblurring under extreme dynamic scenes by leveraging these complementary modalities.
 
-- **Project Page:** [https://tmcDeblur.github.io/](https://tmcDeblur.github.io/)
-- **GitHub Repository:** [https://github.com/linyang2004/tmcDeblur](https://github.com/linyang2004/tmcDeblur)
-- **Paper:** [https://huggingface.co/papers/2604.10554](https://huggingface.co/papers/2604.10554)
+
+# 📦 Dataset Overview
+
+This is a large-scale, real-captured and pixel-level aligned dataset with diverse scenes, supporting multi-exposure and multi-form motion deblurring with CVS.
+
+It contains:
+
+- **98,569** training pairs  
+- **1,928** validation pairs  
+- **1,820** test pairs  
+
+Each clip folder represents one continuous motion scene.
+
+
+
+
+# 📂 Directory Structure
+
+
+| Root | RGB Exposure Time (us) | Blur Length | Log |Description |
+|--------|------------|------------|------------|------------|
+| `Tianmouc_dataset_SportsSloMo_1160_1000_14520_1240/` | 14,520 |11 | `log_1160_1000_14520_1240_filtered_fixed.csv` |heavy blur |
+| `Tianmouc_dataset_SportsSloMo_1560_870_11880_1240/`  | 11,880 |9  | `log_1560_870_11880_1240_filtered_fixed.csv`  |medium-heavy blur |
+| `Tianmouc_dataset_SportsSloMo_1480_1150_9240_1240/`  | 9,240  |7  | `log_1480_1150_9240_1240_filtered_fixed.csv`  |medium blur |
+| `Tianmouc_dataset_SportsSloMo_2830_880_6600_1240/`   | 6,600  |5  | `log_2830_880_6600_1240_filtered_fixed.csv`   |light blur |
+| `Tianmouc_dataset_SportsSloMo_cop_parts/`            | - | - | - | GT |
+| `group_gt_parts/`                                    | - | - | - | the original images used for making the dataset |
+
+<!-- Each path corresponds to a different exposure condition in COP. -->
+
+
+# 🔀 Train / Val / Test Split
+
+Controlled by:
+- `val_clip_info.txt`
+- `test_clip_info.txt`
+
+Rules:
+- Train: excludes val/test clips
+- Val/Test: only includes specified clips
+
+
+# 👀 Data Preview
+
+### 1. Install tianmoucv
+
+
+```bash
+pip install tianmoucv
+```
+
+### 2. Quick Data Preview
+
+We provide a Jupyter Notebook to help you quickly visualize the data. (**[link](https://huggingface.co/datasets/mypThu/SportsSlomo-CVS/tree/main/SportsSloMo-CVS_preview.ipynb)**)
+
+
+