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# Open Science Dataset |
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## Overview |
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Open Science is a large-scale, permissively licensed text dataset derived from OpenAlex, containing over 100B (105,390,332,599) words |
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words. OpenAlex is an open database of scholarly publications, authors, institutions, and research outputs that serves as a comprehensive source for academic literature. |
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## Key Features |
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- **Truly Open**: Contains only permissively licensed data suitable for both commercial and non-commercial use |
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- **Multilingual Coverage**: Predominantly English with significant representation of [additional languages] |
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- **Academic Diversity**: Encompasses [types of content from OpenAlex] |
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## Dataset Statistics |
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[Insert key statistics about:] |
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cc-by: 10,737,025.0 (93.09%) |
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2025-01-22 16:38:32,175 - INFO - cc-by-sa: 424,556.0 (3.68%) |
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2025-01-22 16:38:32,175 - INFO - public-domain: 372,583.0 (3.23%) |
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- Total number of documents |
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- Word count distribution |
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- Language distribution |
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- License type |
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- Temporal coverage |
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- [Other relevant metrics] |
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## Dataset Structure |
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### Data Fields |
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| Field | Type | Description | |
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|-------|------|-------------| |
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| [field1] | [type] | [description] | |
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| [field2] | [type] | [description] | |
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| ... | ... | ... | |
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## How to Use |
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### Installation |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset('PleIAs/openscource') |
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``` |
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## Data Filtering Capabilities |
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- **Language**: Filter by specific languages using metadata |
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- **Temporal**: Select data based on publication dates |
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## Considerations and Limitations |
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- While permissively licensed, users should verify compatibility with their specific use case |
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- Language distribution may not be uniform |
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- Historical texts may contain dated terminology or perspectives |
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- [Other important considerations] |
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## Acknowledgements |
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This dataset was developed with support from: |
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(Update this, this is from common corpus) |
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- AI Alliance |
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- Jean Zay (Eviden, Idris) |
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- Nvidia Inception program |
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- Nebius AI |
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- Tracto AI |
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- Mozilla |
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Special recognition to: |
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- LANGU:IA (French Ministry of Culture and DINUM state startup) |
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- Alliance for Language technologies EDIC (ALT-EDIC) |
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- Wikimedia Enterprise |
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- Open science LLM community (Eleuther AI, Allen AI, HuggingFace) |
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