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Home > All Category Datasets > LLM Datasets > 1.5 Million English STEM Test Questions Dataset – Science and Engineering Subjects

1.5 Million English STEM Test Questions Dataset – Science and Engineering Subjects

Question-answer dataset

Question processing dataset

Labeled STEM exam dataset

Large-scale test question dataset

English STEM test question dataset

This dataset contains 1.5 million English science and engineering test questions, including mathematics, physics, chemistry, biology, and other STEM subjects at the university level. Each questions contain title, answer, parse, type, subject, grade. The dataset can be used for large model subject knowledge enhancement tasks.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

Specifications

Specifications

Content

Science subjects questions text;

Data Size

About 1.5 million;

Data Fields

Contains title, answer, parse, subject, grade, question type;

Subject categories

university;

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

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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.

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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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