# 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
```python
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)