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10.44M English Test QA Dataset – All Grades & Subjects

English question dataset
English test bank
education QA dataset
parsed English questions
AI dataset for education
English exam questions for AI
question parsing NLP
subject-grade English data
K-12 test questions
university English questions dataset

This dataset contains 10.44 million English-language test questions parsed and structured for large-scale educational AI and NLP applications. Each question record includes the title, answer, explanation (parse), subject, grade level, and question type. Covering a full range of academic stages from primary and middle school to high school and university, the dataset spans core subjects such as English, mathematics, biology, and accounting. The content follows the Anglo-American education system and supports tasks such as question answering, subject knowledge enhancement, educational chatbot training, and intelligent tutoring systems. All data are formatted for efficient machine learning use and comply with data protection regulations including GDPR, CCPA, and PIPL.

Paid Datasets
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
SpecificationsSpecifications
Content
English questions text data under Anglo-American system;
Data Size
About 10.44 million;
Data Fields
contains title, answer, parse, subject, grade, question type;
Subject categories
Subjects across primary, middle, high school, and university;
Question type categories
Multiple Choice,Single Choice,True/False,Fill in the Blanks, etc.;
Format
jsonl;
Language
English.
Data processing
Subject, questions, parse and answers were analyzed, formula conversion and table format conversion were done, and content was also cleaned
Sample Sample
  • 10.44M English Test QA Dataset – All Grades & Subjects
  • 10.44M English Test QA Dataset – All Grades & Subjects
  • 10.44M English Test QA Dataset – All Grades & Subjects
Recommended DatasetsRecommended 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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