en

Please fill in your name

Mobile phone format error

Please enter the telephone

Please enter your company name

Please enter your company email

Please enter the data requirement

Successful submission! Thank you for your support.

Format error, Please fill in again

Confirm

The data requirement cannot be less than 5 words and cannot be pure numbers

m.nexdata.datatang.com

Multilingual Grammar Correction Dataset – 480K Parallel Texts (DE, ES, FR, IT)

Multilingual Grammar Correction Dataset
Grammar Correction Dataset

This dataset focuses on the four major European languages (French, German, Spanish, Italian) and contains 480000 pairs of original and corrected text pairs. Each piece of data is presented in JSON format, including two fields: input (raw text) and output (corrected text), which can assist in natural language processing, machine translation, and language teaching 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
Text pairs of original and corrected texts for four European languages
Data volume
480000 pairs
Languages
French, German, Spanish, Italian
Field
input,output
Format
JSON
Sample Sample
  • Multilingual Grammar Correction Dataset – 480K Parallel Texts (DE, ES, FR, IT)
  • Multilingual Grammar Correction Dataset – 480K Parallel Texts (DE, ES, FR, IT)
  • Multilingual Grammar Correction Dataset – 480K Parallel Texts (DE, ES, FR, IT)
Recommended DatasetsRecommended Dataset
Tell Us Your Special Needs

Current Project Maturity

Early exploration (no concrete specs yet)
Defined goals, need professional guidance
Active development or optimization phase
Data & labeling experts with clear specifications

By submitting, I agree to the Privacy Protection

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.

Can Nexdata customize LLM datasets based on our specific model and requirements?

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.

Can Nexdata provide large-scale and high-quality data for LLM development?

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.

3882bbc8-7019-42f6-954f-e8a969228b22

1f168340-e06a-4bc3-b7b7-c3119d1a7f67