| # 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% | |
| ``` | |
|  | |
| - Total number of documents: | |
| 11,534,164 | |
| ## Language Distribution | |
| | 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 | |
| ```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: | |
| - Jean Zay (Eviden, Idris) | |
| - Nebius AI | |
| - Tracto AI | |