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README.md

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+# 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.
+