| # 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 |
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