Improve dataset card: add metadata and link to paper

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

This PR improves the dataset card by:
- Adding the `graph-ml` task category to the YAML metadata.
- Specifying the `cc-by-nc-sa-4.0` license in the YAML.
- Ensuring the official research paper and GitHub repository are clearly linked in the content.

These changes help researchers find and cite the dataset more easily on the Hugging Face Hub.

README.md

@@ -1,10 +1,14 @@
 ---
+license: cc-by-nc-sa-4.0
+task_categories:
+- graph-ml
 configs:
 - config_name: default
   data_files:
-    - split: train
-      path: "data/*.parquet"
+  - split: train
+    path: data/*.parquet
 ---
+
 <h1 align="center"> HiGraph: A Large-Scale Hierarchical Graph Dataset </h1>
 
 <div align="center">
@@ -14,7 +18,8 @@ configs:
 <p><strong>Hierarchical Graph Dataset for Malware Analysis with Function Call Graphs and Control Flow Graphs</strong></p>
 
 
-<a href="https://arxiv.org/pdf/2509.02113"><img src="https://img.shields.io/badge/arXiv-2509.02113-b31b1b.svg" alt="arXiv" /></a>
+<a href="https://huggingface.co/papers/2509.02113"><img src="https://img.shields.io/badge/arXiv-2509.02113-b31b1b.svg" alt="arXiv" /></a>
+<a href="https://github.com/hzcheney/HiGraph"><img src="https://img.shields.io/badge/GitHub-Repository-blue?logo=github" alt="GitHub" /></a>
                 <img src="https://img.shields.io/badge/🤗%20Hugging%20Face-Datasets-yellow" alt="Hugging Face" />
                 <img src="https://img.shields.io/badge/Dataset-6.17GB-blue" alt="Dataset Size" />
                 <img src="https://img.shields.io/badge/Period-2012--2022-orange" alt="Time Period" />
@@ -22,7 +27,7 @@ configs:
 
 A comprehensive hierarchical graph-based dataset for malware analysis and detection.
 
-[Overview](#overview) • [Interactive Explorer](#interactive-visualization) • [Download](#download-dataset) 
+[Overview](#overview) • [Interactive Explorer](#interactive-visualization) • [Download](#download-dataset) • [GitHub](https://github.com/hzcheney/HiGraph)
 
 </div>
 
@@ -30,6 +35,8 @@ A comprehensive hierarchical graph-based dataset for malware analysis and detect
 
 **HiGraph** is a novel, large-scale dataset that models each application as a hierarchical graph: a local **Control Flow Graph (CFG)** capturing intra-function logic and a global **Function Call Graph (FCG)** capturing inter-function interactions.
 
+The dataset was introduced in the paper [HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis](https://huggingface.co/papers/2509.02113).
+
 Graph-based methods have shown great promise in malware analysis, yet the lack of large-scale, hierarchical graph datasets limits further advances in this field. This hierarchical design facilitates the development of robust detection models that are more resilient to obfuscation, model aging, and malware evolution.
 
 
@@ -64,6 +71,7 @@ Access the complete HiGraph dataset through multiple platforms:
 |----------|-------------|------|
 | 🤗 **Hugging Face** | Primary dataset repository | [View on Hugging Face](https://huggingface.co/datasets/hzcheney/Hi-Graph/tree/main) |
 | 🌐 **Project Page** | Interactive explorer | [HiGraph Explorer](https://higraph.org/) |
+| 💻 **GitHub** | Code and tools | [HiGraph Repository](https://github.com/hzcheney/HiGraph) |
 
 </div>
 
@@ -74,7 +82,7 @@ If you find HiGraph useful in your research, please cite:
 ```
 @article{chen2025higraph,
   title={HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis},
-  author={Chen, Han and Wang, Hanchen and Chen, Hongmei and Zhang, Ying and Qin, Lu and Zhang, Wenjie},
+  author={Chen, Han and Wang, Hanchen and Chen, Hongmei and Zhang, Ying English and Qin, Lu and Zhang, Wenjie},
   journal={arXiv preprint arXiv:2509.02113},
   year={2025}
 }
@@ -93,4 +101,4 @@ pip install -r requirements.txt
 
 ## 📄 License
 
-This dataset is licensed under the **Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA)** license. See the [LICENSE](LICENSE) file for details.
+This dataset is licensed under the **Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA)** license. See the [LICENSE](https://github.com/hzcheney/HiGraph/blob/master/LICENSE) file for details.