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 [additional languages]
- Academic Diversity: Encompasses [types of content from OpenAlex]
Dataset Statistics
License distribution:
cc-by ███████████████████████████████ 93.09%
cc-by-sa ██ 3.68%
public ██ 3.23%
- Total number of documents
- Language distribution
- License type
- Temporal coverage
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: (Update this, this is from common corpus)
- AI Alliance
- Jean Zay (Eviden, Idris)
- Nvidia Inception program
- Nebius AI
- Tracto AI
- Mozilla Special recognition to:
- LANGU:IA (French Ministry of Culture and DINUM state startup)
- Alliance for Language technologies EDIC (ALT-EDIC)
- Wikimedia Enterprise
- Open science LLM community (Eleuther AI, Allen AI, HuggingFace)