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Exam Q&A Datasets
Human-level reasoning from authentic exam problems
Request a Sample
Exam Q&A Datasets
Human-level reasoning from authentic exam problems
Request a Sample
Exam Q&A Datasets
Human-level reasoning from authentic exam problems
Request a Sample
Our Exam Q&A datasets capture reasoning across subjects, from humanities and history to STEM and applied sciences.
Humanities Last Exam data is a standout resource—a goldmine for stress-testing AI on human-level understanding.
Our Exam Q&A datasets capture reasoning across subjects, from humanities and history to STEM and applied sciences.
Humanities Last Exam data is a standout resource—a goldmine for stress-testing AI on human-level understanding.
Our Exam Q&A datasets capture reasoning across subjects, from humanities and history to STEM and applied sciences.
Humanities Last Exam data is a standout resource—a goldmine for stress-testing AI on human-level understanding.
Humanities Last Exam.
Complex, essay-style questions in history, philosophy, literature, and culture. 1.2M+ Q&A pairs (JSON, TXT, CSV). Train models for nuanced reasoning, context, and long-form answers.
STEM Exams.
Physics, chemistry, math, and engineering problem sets with solutions. 5M+ Q&A. Benchmark AI on exact problem-solving and formula application.
Language & Test Prep.
Foreign language comprehension (600K+) and standardized test prep (3M+). Build multilingual skills and mimic high-stakes reasoning with varied formats.
Humanities Last Exam.
Complex, essay-style questions in history, philosophy, literature, and culture. 1.2M+ Q&A pairs (JSON, TXT, CSV). Train models for nuanced reasoning, context, and long-form answers.
STEM Exams.
Physics, chemistry, math, and engineering problem sets with solutions. 5M+ Q&A. Benchmark AI on exact problem-solving and formula application.
Language & Test Prep.
Foreign language comprehension (600K+) and standardized test prep (3M+). Build multilingual skills and mimic high-stakes reasoning with varied formats.
Humanities Last Exam.
Complex, essay-style questions in history, philosophy, literature, and culture. 1.2M+ Q&A pairs (JSON, TXT, CSV). Train models for nuanced reasoning, context, and long-form answers.
STEM Exams.
Physics, chemistry, math, and engineering problem sets with solutions. 5M+ Q&A. Benchmark AI on exact problem-solving and formula application.
Language & Test Prep.
Foreign language comprehension (600K+) and standardized test prep (3M+). Build multilingual skills and mimic high-stakes reasoning with varied formats.
Structured deep reasoning.
Clear question → answer pairs build logical response patterns in LLMs.
Knowledge breadth.
Covers domains from abstract thought to applied problem-solving.
Benchmarking.
Evaluate progress on benchmarks like MMLU with rigorous datasets.
Structured deep reasoning.
Clear question → answer pairs build logical response patterns in LLMs.
Knowledge breadth.
Covers domains from abstract thought to applied problem-solving.
Benchmarking.
Evaluate progress on benchmarks like MMLU with rigorous datasets.
Structured deep reasoning.
Clear question → answer pairs build logical response patterns in LLMs.
Knowledge breadth.
Covers domains from abstract thought to applied problem-solving.
Benchmarking.
Evaluate progress on benchmarks like MMLU with rigorous datasets.
Technical specifications
Dataset: Humanities Last Exam | Subject Domain: History, Philosophy, Literature | Volume: 1.2M+ Q&A | Format: JSON, TXT, CSV | Metadata: Question type, difficulty.
Dataset: STEM Exams | Subject Domain: Physics, Chemistry, Math | Volume: 5M+ Q&A | Format: JSON, TXT | Metadata: Step-by-step solutions.
Dataset: Language Exams | Subject Domain: Foreign language comprehension | Volume: 600K+ Q&A | Format: JSON, CSV | Metadata: Source/target language. Dataset: Test Prep Q&A | Subject Domain: Mixed disciplines | Volume: 3M+ Q&A | Format: JSON, TXT | Metadata: Multiple-choice structure.
Technical specifications
Dataset: Humanities Last Exam | Subject Domain: History, Philosophy, Literature | Volume: 1.2M+ Q&A | Format: JSON, TXT, CSV | Metadata: Question type, difficulty.
Dataset: STEM Exams | Subject Domain: Physics, Chemistry, Math | Volume: 5M+ Q&A | Format: JSON, TXT | Metadata: Step-by-step solutions.
Dataset: Language Exams | Subject Domain: Foreign language comprehension | Volume: 600K+ Q&A | Format: JSON, CSV | Metadata: Source/target language. Dataset: Test Prep Q&A | Subject Domain: Mixed disciplines | Volume: 3M+ Q&A | Format: JSON, TXT | Metadata: Multiple-choice structure.
Technical specifications
Dataset: Humanities Last Exam | Subject Domain: History, Philosophy, Literature | Volume: 1.2M+ Q&A | Format: JSON, TXT, CSV | Metadata: Question type, difficulty.
Dataset: STEM Exams | Subject Domain: Physics, Chemistry, Math | Volume: 5M+ Q&A | Format: JSON, TXT | Metadata: Step-by-step solutions.
Dataset: Language Exams | Subject Domain: Foreign language comprehension | Volume: 600K+ Q&A | Format: JSON, CSV | Metadata: Source/target language. Dataset: Test Prep Q&A | Subject Domain: Mixed disciplines | Volume: 3M+ Q&A | Format: JSON, TXT | Metadata: Multiple-choice structure.
Exam Q&A data provides LLMs with the structured knowledge and reasoning skills needed to perform like human test-takers.
Request Samples
Exam Q&A data provides LLMs with the structured knowledge and reasoning skills needed to perform like human test-takers.
Request Samples
Exam Q&A data provides LLMs with the structured knowledge and reasoning skills needed to perform like human test-takers.
Request Samples