File size: 2,178 Bytes
0189279 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | # 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
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
[Insert key statistics about:]
cc-by: 10,737,025.0 (93.09%)
2025-01-22 16:38:32,175 - INFO - cc-by-sa: 424,556.0 (3.68%)
2025-01-22 16:38:32,175 - INFO - public-domain: 372,583.0 (3.23%)
- Total number of documents
- Word count distribution
- Language distribution
- License type
- Temporal coverage
- [Other relevant metrics]
## Dataset Structure
### Data Fields
| Field | Type | Description |
|-------|------|-------------|
| [field1] | [type] | [description] |
| [field2] | [type] | [description] |
| ... | ... | ... |
## How to Use
### Installation
```python
from datasets import load_dataset
dataset = load_dataset('PleIAs/openscource')
```
## Data Filtering Capabilities
- **Language**: Filter by specific languages using metadata
- **Temporal**: Select data based on publication dates
## 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
- [Other important considerations]
## 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)
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