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130 Million - Chinese Exam Question Dataset

chinese exam question dataset
exam question dataset
educational question dataset
chinese test question data
k12 exam question dataset
college exam question dataset
educational qa dataset

dataset containing approximately 130 million questions spanning primary school through university and vocational education. The dataset includes 17.63 million K12 question data (including 14.36 million parsing questions), 117 million college and vocational question data. K12 test questions include quality, type, grade band, difficulty, grade, course, answer and solution. university and vocational test questions include titie, answer and etc. For K12 test questions, the subjects including Chinese, mathematics, English, history, geography, politics, biology, physics, chemistry, and science; for university and vocational test questions, the fields include public security, civil service, medicine, foreign languages, academic qualifications, engineering, education, law, economics, vocational, computer science, professional qualifications, and finance.

Paid Datasets
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
SpecificationsSpecifications
Data content
K-12 test question data + university and vocational test question data
Data size
Total of 17.63 million K12 test questions (including 14.36 million with explanations); total of 117 million university and vocational test questions
Data fields
K12 test questions include fields such as quality, type, grade_band, difficulty, grade, course, answer, solution and etc.; university and vocational test questions include fields such as titie, answer
Major categories
For K12 test questions, the educational stages are primary school, junior high school, and senior high school, with subjects including Chinese, mathematics, English, history, geography, politics, biology, physics, chemistry, and science; for university and vocational test questions, the fields include public security, civil service, medicine, foreign languages, academic qualifications, engineering, education, law, economics, vocational, computer science, professional qualifications, and finance.
Question type categories
Multiple-choice, Single-choice, True or false, Fill-in-the-blank, etc.
Storage format
Jsonl
Language
Chinese
Data processing
All fields were analyzed, and content was also cleaned
Sample Sample
  • 130 Million - Chinese Exam Question Dataset
  • 130 Million - Chinese Exam Question Dataset
  • 130 Million - Chinese Exam Question 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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