---
license: odc-by
task_categories:
- text-classification
- token-classification
- table-question-answering
- question-answering
- zero-shot-classification
- summarization
- feature-extraction
- text2text-generation
language:
- en
tags:
- medical
- climate
- code
- chemistry
- biology
- finance
- legal
pretty_name: Openalex Jun 2025 Snapshot
size_categories:
- 10M<n<100M
---

# 🎓 OpenAlex: The World's Scholarly Knowledge Graph

> **174M scholarly works** from the world's largest open bibliographic database

**OpenAlex Homepage:** https://openalex.org  
**API Documentation:** https://docs.openalex.org  
**Paper:** https://arxiv.org/abs/2205.01833

## What is OpenAlex?

🎓 **OpenAlex** is a free and open catalog of the global research system, containing metadata for **250M+ scholarly works**, **90M+ authors**, **120K+ venues**, and **100K+ institutions**. Named after the ancient Library of Alexandria, it serves as the successor to Microsoft Academic Graph.

This Hugging Face dataset provides a streamlined subset of **174M scholarly works** with rich metadata, making it easy to:
- 📊 Analyze research trends across disciplines
- 🔗 Build citation networks and knowledge graphs  
- 🤖 Train models for academic text understanding
- 🔍 Develop scholarly search and recommendation systems

## Dataset Overview

### Quick Stats
- **174M scholarly works** (papers, books, datasets, etc.)
- **Multi-disciplinary coverage**: Medicine, Biology, Chemistry, Physics, Computer Science, Social Sciences, and more
- **Rich metadata**: Titles, abstracts, authors, institutions, citations, concepts, and open access status
- **Time span**: Publications from 1800s to present
- **Languages**: Primarily English, with multilingual content

### Key Features

✅ **Comprehensive Metadata**
- Unique identifiers (DOI, OpenAlex ID, arXiv, PubMed)
- Publication details (title, date, venue, language)
- Author and institutional affiliations
- Citation counts and referenced works

✅ **Open Access Information**
- OA status and licensing
- Repository locations
- Full-text availability

✅ **Concept Tagging**
- Hierarchical subject classification
- Auto-generated topic tags
- Cross-disciplinary connections

✅ **Quality Indicators**
- Publication types
- Peer review status
- Citation metrics

## Usage

### Loading the Dataset

```python
from datasets import load_dataset

# Load a sample (recommended for exploration)
dataset = load_dataset("sumuks/openalex", split="train", streaming=True)

# Iterate through examples
for paper in dataset.take(100):
    print(f"Title: {paper['title']}")
    print(f"Year: {paper['publication_year']}")
    print(f"Citations: {paper['cited_by_count']}")
    print("---")
```

## License

This dataset is released under the **Open Data Commons Attribution License (ODC-By) v1.0**, following OpenAlex's commitment to open science. You are free to share and adapt this data with proper attribution.

## Citation

If you use this dataset, please cite:

```bibtex
@article{priem2022openalex,
  title={OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts},
  author={Priem, Jason and Piwowar, Heather and Orr, Richard},
  journal={arXiv preprint arXiv:2205.01833},
  year={2022}
}
```

## Acknowledgments

Special thanks to:
- The [OurResearch](https://ourresearch.org/) team for creating and maintaining OpenAlex
- [Arcadia Fund](https://www.arcadiafund.org.uk/) for funding OpenAlex development
- The academic community for supporting open science initiatives

---

**Questions or Issues?** Open a discussion in the [Community tab](https://huggingface.co/datasets/sumuks/openalex/discussions) or visit [OpenAlex Help](https://help.openalex.org/)