Named Entity Recognition Dataset
Discover our Named Entity Recognition Dataset, a broad collection featuring 150,000 sentences annotated across 24 named entity categories in ten languages, including Norwegian (Bokmål), Finnish, Turkish, Hindi, Arabic, Danish, Swedish, Hebrew, Russian, and Czech. This dataset is carefully prepared to assist in training AI models to identify various entities like person names, locations, company names, dates, times, and durations.
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Scope
Leverage this dataset to:
- Enhance AI's understanding of natural language texts in multiple languages.
- Train AI to accurately identify and categorize named entities within sentences.
- Crucial for improving chatbots, search algorithms, and content analysis tools.
- Enable more intuitive and context-aware AI interactions.
- Improve user experiences and the efficiency of information retrieval and analysis.
This dataset is ideal for
- Chatbot Development and Enhancement
- Natural Language Processing (NLP) Applications
- Search Engines and Information Retrieval Systems
- Content Analysis and Categorization Tools
- AI-Driven Market and Research Analysis
Technical Specifications
- Languages Covered: Norwegian (Bokmål), Finnish, Turkish, Hindi, Arabic, Danish, Swedish, Hebrew, Russian, Czech
- Sentences: 150,000 annotated sentences, offering extensive training material.
- Entity Categories: 24 types of named entities, including person names, locations, companies, dates, times, and durations.
- Application Scope: Suitable for a wide range of NLP applications requiring entity recognition.
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Ethical Data Collection
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License Information
This dataset is covered by our standard Data license agreement. The license agreement is perpetual and allows for the commercialization of all models built on the data.
