Update README.md

README.md

@@ -26,21 +26,30 @@ configs:
   data_files: publications_large.parquet
 ---
 
-
 <div style="display: flex; gap: 8px; align-items: center; flex-wrap: wrap; margin-bottom: 16px;">
-  <a href="https://doi.org/10.5334/johd.520"><img src="https://img.shields.io/badge/DOI-10.5334%2Fjohd.520-blue" alt="Paper DOI"></a>
+  <a href="https://doi.org/10.5334/johd.520"><img src="https://img.shields.io/badge/Paper-JOHD%2012(1)%2063-blue" alt="Paper"></a>
   <a href="https://doi.org/10.5281/zenodo.18402099"><img src="https://img.shields.io/badge/Zenodo-10.5281%2Fzenodo.18402099-blue" alt="Zenodo DOI"></a>
   <a href="https://graph.openaire.eu/docs/"><img src="https://img.shields.io/badge/docs-OpenAIRE%20Graph-informational" alt="OpenAIRE Graph Docs"></a>
+  <img src="https://img.shields.io/badge/license-CC--BY--4.0-green" alt="License">
 </div>
 
-# Compact OpenAIRE Citation Graph
+# 📚 Compact OpenAIRE Citation Graph
+
+> The complete OpenAIRE citation graph, distilled into a handful of compact, analysis-ready files — the full scholarly citation network of the open-science ecosystem, small enough to actually work with.
 
-A the complete OpenAIRE citation graph available as simple parquet files (edge list). The core graph is shared as an edge list
-files totalling ~8.8 GB; a larger node file with additional publication features (full list below) is also provided.
+Citation graphs at this scale are usually locked behind multi-terabyte dumps and heavyweight infrastructure. This dataset makes the **entire OpenAIRE citation network** loadable on a normal machine: publications as nodes, citations as edges, served as compressed Parquet with a memory-efficient loading path. A richer node file adds titles, abstracts, authors, dates, and a full set of persistent identifiers (DOI, PubMed, MAG, arXiv, and more) for text-attributed and metadata-driven work.
 
-This is a working mirror for convenient loading. **Please cite the accompanying data paper (see Citation below).**
+### At a glance
 
-The nodes are publications, the edges are citations.
+| --- | --- |
+| **Nodes** | Scholarly publications |
+| **Edges** | Citation links |
+| **Format** | Parquet (PyArrow-friendly) |
+| **Node metadata** | Titles, abstracts, authors, dates, venues, PIDs |
+| **Best for** | Graph ML · temporal / dynamic graphs · text-attributed graphs · bibliometrics |
+| **License** | CC-BY-4.0 |
+| **Cite** | [Skarding & Sanda (2026), *JOHD* 12(1), 63](https://doi.org/10.5334/johd.520) |
+| **Dataset DOI** | [10.5281/zenodo.18402099](https://doi.org/10.5281/zenodo.18402099) |
 
 ## Dataset structure
 
@@ -71,7 +80,7 @@ The dataset is a directed citation graph: publications are nodes, citations are
 | `pid_pmcs` | list[str] | PubMed Central IDs | 0.9 | 4.77% |
 | `pid_arxiv_ids` | list[str] | ArXiv IDs | 0.9 | 1.38% |
 
-## Usage
+## Quickstart
 ```python
 import pandas as pd
 from huggingface_hub import hf_hub_download