---
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.