[{"@type":"PropertyValue","name":"Data content","value":"This dataset consists of test questions from segmented fields such as financial products, markets, behaviors, and principles."},{"@type":"PropertyValue","name":"Data volume","value":"250000 questions, 125000 multiple-choice questions, 125000 Q&A questions"},{"@type":"PropertyValue","name":"Format","value":"JSON"},{"@type":"PropertyValue","name":"Fields","value":"Multiple Choice Questions: First level classification, Second level classification, Question, Answer, Analysis, Q&A Questions: First level classification, Second level classification, Question, Answer"},{"@type":"PropertyValue","name":"Language","value":"Chinese"}]
{"id":1604,"datatype":"1","titleimg":"https://www.nexdata.ai/shujutang/static/image/index/datatang_tuxiang_default.webp","type1":"226","type1str":null,"type2":"227","type2str":null,"dataname":"250K Financial QA Dataset – MCQ & Q&A in JSON Format","datazy":[{"title":"Data content","content":"This dataset consists of test questions from segmented fields such as financial products, markets, behaviors, and principles.","desc":"Data content"},{"title":"Data volume","content":"250000 questions, 125000 multiple-choice questions, 125000 Q&A questions","desc":"Data volume"},{"title":"Format","content":"JSON","desc":"Format"},{"title":"Fields","content":"Multiple Choice Questions: First level classification, Second level classification, Question, Answer, Analysis, Q&A Questions: First level classification, Second level classification, Question, Answer","desc":"Fields"},{"title":"Language","content":"Chinese","desc":"Language"}],"datatag":"Finance, test questions, selection, Q&A","technologydoc":null,"downurl":null,"datainfo":null,"standard":null,"dataylurl":null,"flag":null,"publishtime":null,"createby":null,"createtime":null,"ext1":null,"samplestoreloc":null,"hosturl":null,"datasize":null,"industryPlan":null,"keyInformation":"","samplePresentation":[{"name":"问答题样例.png","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20250718142728/%E9%97%AE%E7%AD%94%E9%A2%98%E6%A0%B7%E4%BE%8B.png?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=10NYrU3EfhtrEsxu821mivqqudM%3D","intro":"","size":55776,"progress":100,"type":"jpg"},{"name":"选择题样例.png","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20250718142728/%E9%80%89%E6%8B%A9%E9%A2%98%E6%A0%B7%E4%BE%8B.png?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=HjUs9YtkP9i3KcWSLVlKDh9ih88%3D","intro":"","size":53510,"progress":100,"type":"jpg"}],"officialSummary":"This dataset contains 250,000 financial domain questions designed for academic, commercial, and AI model training use. It covers subdomains including financial products, markets, behaviors, regulations, and principles. The dataset is evenly split between multiple-choice questions (MCQs) and open-ended Q&A questions, with 125,000 entries each. All questions are provided in structured JSON format, making it highly suitable for machine learning, financial language model training, intelligent tutoring systems, and exam preparation tools. It offers a valuable resource for financial knowledge acquisition, model fine-tuning, and natural language understanding in the finance sector. All data complies with global privacy standards including GDPR, CCPA, and PIPL.","dataexampl":null,"datakeyword":["financial question dataset","finance test bank","finance MCQ dataset","AI training data finance","financial literacy dataset","structured QA dataset","fintech dataset","finance exam preparation","LLM finance training data","JSON finance questions"],"isDelete":null,"ids":null,"idsList":null,"datasetCode":null,"productStatus":null,"tagTypeEn":"Type","tagTypeZh":null,"website":null,"samplePresentationList":null,"datazyList":null,"keyInformationList":null,"dataexamplList":null,"bgimg":null,"datazyScriptList":null,"datakeywordListString":null,"sourceShowPage":"llm","BGimg":"","voiceBg":["/shujutang/static/image/comm/audio_bg.webp","/shujutang/static/image/comm/audio_bg2.webp","/shujutang/static/image/comm/audio_bg3.webp","/shujutang/static/image/comm/audio_bg4.webp","/shujutang/static/image/comm/audio_bg5.webp"]}
https://www.nexdata.ai/shujutang/static/image/index/datatang_tuxiang_default.webp
[{"@type":"ImageObject","embedUrl":"https://storage-product.datatang.com/damp/product/sample_presentation/20250718142728/%E9%97%AE%E7%AD%94%E9%A2%98%E6%A0%B7%E4%BE%8B.png?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=10NYrU3EfhtrEsxu821mivqqudM%3D"},{"@type":"ImageObject","embedUrl":"https://storage-product.datatang.com/damp/product/sample_presentation/20250718142728/%E9%80%89%E6%8B%A9%E9%A2%98%E6%A0%B7%E4%BE%8B.png?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=HjUs9YtkP9i3KcWSLVlKDh9ih88%3D"}]
250K Financial QA Dataset – MCQ & Q&A in JSON Format
financial question dataset
finance test bank
finance MCQ dataset
AI training data finance
financial literacy dataset
structured QA dataset
fintech dataset
finance exam preparation
LLM finance training data
JSON finance questions
This dataset contains 250,000 financial domain questions designed for academic, commercial, and AI model training use. It covers subdomains including financial products, markets, behaviors, regulations, and principles. The dataset is evenly split between multiple-choice questions (MCQs) and open-ended Q&A questions, with 125,000 entries each. All questions are provided in structured JSON format, making it highly suitable for machine learning, financial language model training, intelligent tutoring systems, and exam preparation tools. It offers a valuable resource for financial knowledge acquisition, model fine-tuning, and natural language understanding in the finance sector. All data complies with global privacy standards including GDPR, CCPA, and PIPL.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
![Specifications]()
Specifications
Data content
This dataset consists of test questions from segmented fields such as financial products, markets, behaviors, and principles.
Data volume
250000 questions, 125000 multiple-choice questions, 125000 Q&A questions
Fields
Multiple Choice Questions: First level classification, Second level classification, Question, Answer, Analysis, Q&A Questions: First level classification, Second level classification, Question, Answer
![Sample]()
Sample
![Recommended Datasets]()
Recommended Dataset
Tell Us Your Special Needs
d9d325ff-b25b-4229-94b0-502bbfb78d02