Open Science Dataset
Overview
Open Science is a large-scale, permissively licensed text dataset derived from OpenAlex, containing over 100B (105,390,332,599) words. OpenAlex is an open database of scholarly publications, authors, institutions, and research outputs that serves as a comprehensive source for academic literature.
Key Features
- Truly Open: Contains only permissively licensed data suitable for both commercial and non-commercial use
- Multilingual Coverage: Predominantly English with significant representation of Portuguese, German, Indonesian, Russian, and Spanish
- Academic Diversity: Encompasses journal articles, books, datasets, theses, and other document types
Dataset Statistics
License distribution:
cc-by ███████████████████████████████ 93.09%
cc-by-sa ██ 3.68%
public ██ 3.23%
| Language | Document Count | Word Count | % of Total Words |
|---|---|---|---|
| English | 9,692,480 | 91,961,796,098 | 87.28% |
| Portuguese | 381,719 | 2,911,255,370 | 2.76% |
| German | 167,130 | 1,606,879,128 | 1.53% |
| Indonesian | 297,645 | 1,370,676,366 | 1.30% |
| Russian | 199,317 | 1,235,729,351 | 1.17% |
| Spanish | 189,305 | 1,548,199,226 | 1.47% |
Dataset Structure
Data Fields
| Field |
|---|
| identifier |
| pdf_url |
| lang |
| error |
| title |
| source_name |
| publication_year |
| license |
| word_count |
| text |
How to Use
Installation
from datasets import load_dataset
dataset = load_dataset('PleIAs/openscource')
Considerations and Limitations
- While permissively licensed, users should verify compatibility with their specific use case
- Language distribution may not be uniform
- Historical texts may contain dated terminology or perspectives
Acknowledgements
This dataset was developed with support from:
- Jean Zay (Eviden, Idris)
- Nebius AI
- Tracto AI