Link model to paper and improve description

Hi! I'm Niels from the Hugging Face community team.

I've updated the model card for this repository to include:
- A link to the paper "Go Beyond Earth: Understanding Human Actions and Scenes in Microgravity Environments" on the Hugging Face Hub to improve discoverability.
- Links to the official GitHub repository and dataset.
- A brief introduction to the MicroG-4M benchmark.
- The official BibTeX citation for the work.

This structure helps users find the associated research and code more easily while maintaining your original performance comparisons.

README.md

@@ -1,8 +1,8 @@
 ---
-license: cc-by-4.0
 datasets:
 - LEI-QI-233/MicroG-4M
 - LEI-QI-233/MicroG-HAR-train-ready
+license: cc-by-4.0
 metrics:
 - mAP
 - F1-score
@@ -11,27 +11,16 @@ metrics:
 pipeline_tag: video-classification
 ---
 
-# This directory stores all fine-tuned weights and related raw data from our dataset.
+# MicroG-4M: Human Action Recognition in Microgravity
 
-## Please view our paper, GitHub and dataset firstly:
+This repository contains fine-tuned weights for the Human Action Recognition (HAR) task, as presented in the paper [Go Beyond Earth: Understanding Human Actions and Scenes in Microgravity Environments](https://huggingface.co/papers/2506.02845).
 
+MicroG-4M is the first benchmark for spatio-temporal and semantic understanding of human activities in microgravity. It covers 4,759 clips across 50 action categories from real-world space missions and simulations, addressing the gap in domain-robust video understanding for safety-critical space applications.
 
-<div align="left">
-   <a href="https://arxiv.org/abs/2506.02845"
-     style="display: inline-block; margin: 0 4px;">
-    <img src="https://img.shields.io/badge/arXiv-Paper-b31b1b?logo=arxiv" alt="arXiv Paper"/>
-  </a>
-    <a href="https://github.com/LEI-QI-233/MicroG-4M"
-     style="display: inline-block; margin: 0 4px;">
-    <img src="https://img.shields.io/badge/GitHub-GitHub Repo-white?logo=github"
-         alt="GitHub"/>
-  </a>
-  <a href="https://huggingface.co/datasets/LEI-QI-233/MicroG-4M"
-     style="display: inline-block; margin: 0 4px;">
-    <img src="https://img.shields.io/badge/Hugging%20Face-Dataset-orange?logo=huggingface"
-         alt="Hugging Face Dataset"/>
-  </a>
-</div>
+## Resources
+- **Paper:** [Go Beyond Earth: Understanding Human Actions and Scenes in Microgravity Environments](https://huggingface.co/papers/2506.02845)
+- **GitHub:** [HAR-in-Space](https://github.com/LEI-QI-233/HAR-in-Space)
+- **Dataset:** [MicroG-4M on Hugging Face](https://huggingface.co/datasets/LEI-QI-233/MicroG-4M)
 
 ---
 
@@ -52,12 +41,25 @@ pipeline_tag: video-classification
 | X3D      | 13×6 | S        | 2.02        | 14.07   | 5.77         | 4.52       | 78.23     |
 | X3D      | 16×5 | L        | 4.37        | 18.70   | 9.15         | 7.47       | 78.27     |
 
-
 **Note:** 
-- All models has been pretrained on Kinetics400 dataset and continually trained on MicroG-4M. 
+- All models have been pretrained on the Kinetics400 dataset and continually trained on MicroG-4M. 
 - `TC` denotes the temporal configuration (frame length × sampling rate). 
 - `#Params` indicates the number of parameters (in millions, M).
 
 ## Contents of this repository:
 - **models** folder contains all fine-tuned weights of MicroG-4M
-- **MicroG-4M_results** folder contains all raw data generated by fine-tuning
+- **MicroG-4M_results** folder contains all raw data generated by fine-tuning
+
+## Citation
+If you find this work useful, please cite the following paper:
+```bibtex
+@misc{wen2025earthunderstandinghumanactions,
+      title={Go Beyond Earth: Understanding Human Actions and Scenes in Microgravity Environments}, 
+      author={Di Wen and Lei Qi and Kunyu Peng and Kailun Yang and Fei Teng and Ao Luo and Jia Fu and Yufan Chen and Ruiping Liu and Yitian Shi and M. Saquib Sarfraz and Rainer Stiefelhagen},
+      year={2025},
+      eprint={2506.02845},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2506.02845}, 
+}
+```