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---
license: openrail
---
# European Languages Multipurpose Dataset for NER
## Introduction
This is a multipurpose dataset that includes names, proper nouns, and acronyms from various European languages. It is designed to be particularly useful for Named Entity Recognition (NER) tasks.
## Language Composition
The dataset predominantly features data in English, followed by Spanish, French, and Romanian.
## Objective
The primary aim of this dataset is to further fine-tune base BERT or RoBERTa models for tasks related to Named Entity Recognition (NER).
## Dataset Content
- **Names**: Includes first names, last names, and full names.
- **Proper Nouns**: Includes names of places, organizations, etc.
- **Acronyms**: Includes acronyms commonly used in the featured languages.
## Usage
This dataset can be used to:
- Fine-tune BERT or RoBERTa models for NER tasks
- Evaluate the effectiveness of different fine-tuning techniques on NER
- Conduct multilingual NER research
## Contributing
If you have suggestions for improving or expanding the dataset, please feel free to open an issue or submit a pull request.
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