metadata

license: cc0-1.0
task_categories:
  - question-answering
  - feature-extraction
language:
  - en
pretty_name: PaperSeek OpenAlex Embeddings
size_categories:
  - 100M<n<1B

📚 PaperSeek: OpenAlex English Titles & Abstracts (April 2025 Snapshot)

This dataset is part of the PaperSeek framework, a semantic search engine designed for literature discovery using research questions and prior knowledge. PaperSeek is developed as part of a Master's thesis to explore novel approaches in enhancing academic search relevance.

📦 Dataset Overview

Source: OpenAlex
Snapshot Date: April 1st, 2025
Language: English
Contents:
- Title
- Abstract
- Embedding

The dataset includes 102 million research works, with English-language titles and abstracts extracted from the OpenAlex snapshot published on April 1st, 2025.

🧠 Embeddings

Model: Stella V5 1.5B (bfloat16 precision)
Embedding Prompt: Title: {title}\n[SEP] Abstract: {abstract}
Output: Dense embeddings suitable for semantic search and large-scale information retrieval.

🧪 Use Cases

Semantic search
Embedding-based retrieval
Academic literature analysis
NLP benchmarking on large-scale scientific text

📝 Citation

If you use this dataset, please cite/star the PaperSeek project and OpenAlex as data sources. A formal citation for the Master's thesis will be provided once available.

📁 Data Structure

Each entry contains:

id: Unique work ID (OpenAlex identifier)
title: English title of the research work
abstract: English abstract of the research work
embedding: Float32 ncoded vector

⚠️ License & Use

OpenAlex data is released under the CC0 1.0 Universal (Public Domain Dedication).
Embeddings generated as part of the PaperSeek framework are released for research purposes.

🙋‍♂️ Contact

For questions or collaborations, feel free to get in touch through Hugging Face or via the Github.