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