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--- |
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license: odc-by |
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task_categories: |
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- text-classification |
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- token-classification |
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- table-question-answering |
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- question-answering |
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- zero-shot-classification |
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- summarization |
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- feature-extraction |
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- text2text-generation |
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language: |
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- en |
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tags: |
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- medical |
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- climate |
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- code |
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- chemistry |
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- biology |
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- finance |
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- legal |
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pretty_name: Openalex Jun 2025 Snapshot |
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size_categories: |
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- 10M<n<100M |
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--- |
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# 🎓 OpenAlex: The World's Scholarly Knowledge Graph |
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> **174M scholarly works** from the world's largest open bibliographic database |
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**OpenAlex Homepage:** https://openalex.org |
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**API Documentation:** https://docs.openalex.org |
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**Paper:** https://arxiv.org/abs/2205.01833 |
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## What is OpenAlex? |
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🎓 **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. |
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This Hugging Face dataset provides a streamlined subset of **174M scholarly works** with rich metadata, making it easy to: |
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- 📊 Analyze research trends across disciplines |
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- 🔗 Build citation networks and knowledge graphs |
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- 🤖 Train models for academic text understanding |
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- 🔍 Develop scholarly search and recommendation systems |
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## Dataset Overview |
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### Quick Stats |
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- **174M scholarly works** (papers, books, datasets, etc.) |
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- **Multi-disciplinary coverage**: Medicine, Biology, Chemistry, Physics, Computer Science, Social Sciences, and more |
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- **Rich metadata**: Titles, abstracts, authors, institutions, citations, concepts, and open access status |
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- **Time span**: Publications from 1800s to present |
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- **Languages**: Primarily English, with multilingual content |
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### Key Features |
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✅ **Comprehensive Metadata** |
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- Unique identifiers (DOI, OpenAlex ID, arXiv, PubMed) |
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- Publication details (title, date, venue, language) |
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- Author and institutional affiliations |
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- Citation counts and referenced works |
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✅ **Open Access Information** |
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- OA status and licensing |
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- Repository locations |
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- Full-text availability |
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✅ **Concept Tagging** |
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- Hierarchical subject classification |
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- Auto-generated topic tags |
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- Cross-disciplinary connections |
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✅ **Quality Indicators** |
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- Publication types |
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- Peer review status |
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- Citation metrics |
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## Usage |
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### Loading the Dataset |
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```python |
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from datasets import load_dataset |
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# Load a sample (recommended for exploration) |
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dataset = load_dataset("sumuks/openalex", split="train", streaming=True) |
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# Iterate through examples |
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for paper in dataset.take(100): |
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print(f"Title: {paper['title']}") |
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print(f"Year: {paper['publication_year']}") |
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print(f"Citations: {paper['cited_by_count']}") |
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print("---") |
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``` |
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## License |
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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. |
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## Citation |
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If you use this dataset, please cite: |
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```bibtex |
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@article{priem2022openalex, |
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title={OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts}, |
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author={Priem, Jason and Piwowar, Heather and Orr, Richard}, |
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journal={arXiv preprint arXiv:2205.01833}, |
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year={2022} |
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} |
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``` |
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## Acknowledgments |
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Special thanks to: |
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- The [OurResearch](https://ourresearch.org/) team for creating and maintaining OpenAlex |
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- [Arcadia Fund](https://www.arcadiafund.org.uk/) for funding OpenAlex development |
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- The academic community for supporting open science initiatives |
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--- |
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**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/) |
