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README.md

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-Multi-config Radiomap Dataset and Pretrained Model Towards U6G XL-MIMO
+那我直接往下给你一套**现在就能改**的方案。
+
+你下一步就做三件事：
+
+1. 把 `README.md` 改成带 YAML 头的正式 dataset card
+2. 新增一个轻量 `metadata.csv`，让页面至少有可 preview 的表
+3. 在 README 里把 **dataset / pretrained model / code / website / citation / license** 一次写清楚
+
+下面我直接给你可粘贴内容。
+
+---
+
+## 一、README.md 最开头这样改
+
+把你现在那个很短的 README 全部替换成下面这版。
+
+````md
 ---
 license: cc-by-4.0
+pretty_name: Multi-config Radiomap Dataset and Pretrained Models for U6G XL-MIMO
+task_categories:
+  - regression
+task_ids:
+  - other
+tags:
+  - wireless
+  - radiomap
+  - xl-mimo
+  - u6g
+  - beamforming
+  - benchmark
+  - signal-processing
+size_categories:
+  - 10K<n<100K
+language:
+  - en
 ---
+
+# Multi-config Radiomap Dataset and Pretrained Models for U6G XL-MIMO
+
+This repository provides the **public release of the Multi-config Radiomap Dataset and pretrained models** for **U6G / XL-MIMO radiomap prediction**.
+
+It includes:
+- a large-scale radiomap dataset across **800 urban scenes**
+- multiple frequency bands and array configurations
+- beam-map-related benchmark resources
+- pretrained models for benchmark tasks
+
+## Links
+
+- **Project Website:** https://lxj321.github.io/MulticonfigRadiomapDataset/
+- **Code Repository:** https://github.com/Lxj321/MulticonfigRadiomapDataset
+- **Dataset + Pretrained Models:** this Hugging Face repository
+
+## Contents
+
+### Files in this repository
+
+- `Dataset_*.zip`  
+  Main dataset package, including radiomap-related data and associated resources.
+
+- `Pretrained_Model_*.zip`  
+  Pretrained models for benchmark tasks.
+
+- `metadata.csv`  
+  Lightweight metadata index for preview and quick inspection.
+
+## Dataset Summary
+
+This project is designed for studying:
+- multi-configuration radiomap prediction
+- cross-configuration generalization
+- cross-environment generalization
+- beam-aware radiomap modeling
+- sparse radiomap reconstruction
+
+### Quick facts
+
+- **Scenes:** 800
+- **Frequency bands:** 1.8 / 2.6 / 3.5 / 4.9 / 6.7 GHz
+- **TX antenna scale:** up to 32x32 UPA
+- **Beam settings:** 1 / 8 / 16 / 64 beams
+
+## Intended Usage
+
+This dataset is intended for:
+- benchmark evaluation of radiomap prediction methods
+- studying generalization across unseen array configurations
+- studying generalization across unseen environments
+- evaluating physics-informed features such as beam maps
+- reproducing the results of the associated benchmark project
+
+## Download and Usage
+
+Download the released zip packages from the **Files and versions** tab.
+
+For code, preprocessing, training, evaluation, and benchmark usage, please refer to:
+- **GitHub:** https://github.com/Lxj321/MulticonfigRadiomapDataset
+- **Project Website:** https://lxj321.github.io/MulticonfigRadiomapDataset/
+
+## Repository Structure
+
+The released resources are organized around:
+- dataset files
+- pretrained model files
+- project documentation
+- benchmark code in the GitHub repository
+
+## Citation
+
+If you use this dataset or the pretrained models, please cite the associated project and paper.
+
+```bibtex
+@misc{To be added,
+  title        = {U6G XL-MIMO Radiomap Prediction: Multi-config Dataset and Beam Map Approach},
+  author       = {Xiaojie Li and collaborators},
+  year         = {2026},
+  howpublished = {\url{https://lxj321.github.io/MulticonfigRadiomapDataset/}}
+}
+```
+
+Formal citation information will be updated after the paper metadata is finalized.
+
+## License
+
+* **Dataset:** CC BY 4.0
+* **Code:** see the GitHub repository license
+* **Pretrained models:** released together with this dataset repository unless otherwise specified
+
+## Contact
+
+**Xiaojie Li**
+[xiaojieli@seu.edu.cn](mailto:xiaojieli@seu.edu.cn)
+[xiaojieli@nuaa.edu.cn](mailto:xiaojieli@nuaa.edu.cn)
+
+