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Home > All Category Datasets > LLM Datasets > 200,000 Multilingual Text Dataset in French, German, Spanish & Italian for NLP Training

200,000 Multilingual Text Dataset in French, German, Spanish & Italian for NLP Training

multilingual text dataset
French text dataset
German text dataset
Spanish text dataset
Italian text data
NLP multilingual training
language model fine-tuning
categorized text dataset
LLM training data
multilingual corpus

This dataset contains 200,000 pieces of high-quality multilingual text content, evenly distributed across four languages: French, German, Spanish, and Italian (50,000 per language). The text samples span over 200 categories such as architecture, animals, automobiles, food & beverage, movies, zodiac signs, and cybersecurity. Designed to support a variety of natural language processing (NLP) tasks, this dataset is ideal for multilingual language model fine-tuning, cross-lingual classification, machine translation, and generative AI applications. All content is clean, well-formatted, and suitable for commercial and academic AI research.

Paid Datasets
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
SpecificationsSpecifications
Data content
200000 pieces of text content in French, German, Spanish, and Italian
Category
covering more than 200 categories such as architecture, animals, automobiles, catering, movies, constellations, cybersecurity, etc
Data volume
50000 pieces each for French, German, Spanish, and Italian
Languages
French, German, Spanish, Italian
Field
contents，category
Format
json
Sample Sample
  • 200,000 Multilingual Text Dataset in French, German, Spanish & Italian for NLP Training
  • 200,000 Multilingual Text Dataset in French, German, Spanish & Italian for NLP Training
  • 200,000 Multilingual Text Dataset in French, German, Spanish & Italian for NLP Training
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Dataset FAQs

What can Nexdata’s LLM datasets be used for?

Nexdata’s LLM datasets can support a wide range of large language model development tasks, including pre-training, supervised fine-tuning, instruction tuning, preference optimization, evaluation, and domain-specific model development. Depending on the dataset, data may include text, instruction-response pairs, conversations, question-answer pairs, reasoning data, and other structured or annotated content.

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Yes. If our off-the-shelf LLM datasets do not fully match your requirements, Nexdata provides flexible custom data collection, generation, annotation, curation, and quality control services. We can customize datasets based on your target languages, domains, use cases, data formats, task types, volume, and quality requirements to support specific LLM training and evaluation projects.

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Yes. Nexdata can support large-scale LLM data projects across multiple languages, domains, and data types. Our data services include multi-stage quality control, data cleaning, annotation, validation, and curation to help ensure consistency and usability. For projects requiring data beyond our existing datasets, our customized data services can be scaled according to the required volume, specifications, and delivery schedule.

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