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Home > All Category Datasets > LLM Datasets > 10.15 Million - Chinese LLM Question Answer Dataset

10.15 Million - Chinese LLM Question Answer Dataset

llm question answer dataset
qa dataset for llm
large qa dataset
ai question answer data
llm training dataset
question answer pairs dataset
structured qa dataset

This dataset contains approximately 10.15 million questions, with explanations and without explanations. Each question includes question type, question, answer, and explanation, some questions may have errors in question types; majors include Party Building, Law, Engineering, Civil Service, Computer Science, Economics, Graduate Studies, Medicine, Language, Self-Study, Comprehensive and Policy Essay Writing; question types include Multiple Choice, Single Choice, True/False, Fill in the Blanks, Short Answer, and Essay; this dataset can be used for tasks such as LLM training, chatgpt

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SpecificationsSpecifications
Data content
Chinese professional questions text data
Data size
About 10.15 million majors questions with explanations and without explanations combined.
Data fields
Text data with type,question,answer and parse, some questions may have errors in question types.
Major categories
Party Building, Law,Engineering,Civil Service,Computer Science,Economics,Postgraduate Studies,Medicine,Languages,Self-Study,Comprehensive,Policy Essay Writing and etc.
Question type categories
Multiple Choice,Single Choice,True/False,Fill in the Blanks,Short Answer,Essay
Storage format
Jsonl
Language
Chinese
Sample Sample
  • 10.15 Million - Chinese LLM Question Answer Dataset
  • 10.15 Million - Chinese LLM Question Answer Dataset
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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.

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