datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cdg-neural-math-qa
Neural Math QA Dataset
This directory contains the neural_math_qa.jsonl dataset, used for fine-tuning models for question-answering related to neural networks and pure mathematics.
Dataset Summary
This dataset consists of question-answer pairs focused on the intersection of neural networks and pure mathematics concepts. It was generated synthetically using an LLM.
Topics include:
Linear algebra foundations
Topology in network spaces
Differentiable manifolds
Measure… See the full description on the dataset page: https://huggingface.co/datasets/cahlen/cdg-neural-math-qa.mathQAadaption-financial-math-qa
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-financial_math_qa
This dataset contains question-and-answer pairs focused on personal finance calculations, including compound interest, loan amortization, tax brackets, and retirement planning. Each sample provides a specific financial scenario in the prompt and a detailed, step-by-step mathematical derivation in the completion. The responses explain the underlying formulas… See the full description on the dataset page: https://huggingface.co/datasets/uditjain/adaption-financial-math-qa.Math-Cot_1Shot_QA-ShareGPTConverted, deslopped, min-hash deduplicated, rejection filtered, grammar corrected using: https://github.com/The-Chaotic-Neutrals/ShareGPT-Formaxxing
GammaCorpus-Math-QA-2m
GammaCorpus: Math QA 2m
What is it?
GammaCorpus Math QA 2m is a dataset that consists of 2,760,000 mathematical question-and-answer. It consists of 917,196 addition questions, 916,662 subtraction questions, 917,015 multiplication questions, and 9,126 division questions.
Dataset Summary
Number of Rows: 2,760,000
Format: JSONL
Data Type: Mathematical Question Pairs
Dataset Structure
Data Instances
The dataset is formatted in JSONL, where… See the full description on the dataset page: https://huggingface.co/datasets/rubenroy/GammaCorpus-Math-QA-2m.math_QAaugPmath_QAaugP dataset is a combination of MetaMathQA, MathInstruct, and some internal data.
We use Arithmo dataset for the combination of MetaMathQA and MathInstruct.
math_qa_zh
Math QA Chinese Multiple-Choice Dataset
This dataset is a Chinese four-choice SFT version of allenai/math_qa. It is designed to supplement math multiple-choice training data for benchmark tasks such as challenge_common_sense.
The original dataset is in English and contains five-choice math questions. This release keeps only samples that can be aligned to the official four-choice benchmark format, translates the question and options into Chinese, and formats each… See the full description on the dataset page: https://huggingface.co/datasets/choucsan/math_qa_zh.math-science-qa-v1This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
math_science_qa
A dataset of advanced questions and precise answers spanning mathematics, theoretical physics, and molecular biology. Each entry includes a technical prompt and a concise, expert-level response. The content ranges from quantum field theory to organic synthesis and genomic regulation.
Dataset size
There are 11 data points in this dataset. This is an… See the full description on the dataset page: https://huggingface.co/datasets/NikitaSirotkin/math-science-qa-v1.math-science-qaThis dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
math_science_qa
A dataset of advanced questions and precise answers spanning mathematics, theoretical physics, and molecular biology. Each entry includes a technical prompt and a concise, expert-level response. The content ranges from quantum field theory to organic synthesis and genomic regulation.
Dataset size
There are 11 data points in this dataset. This is an… See the full description on the dataset page: https://huggingface.co/datasets/NikitaSirotkin/math-science-qa.brazilian-math-physics-qa-vision
Brazilian Math & Physics QA — Image Dependent
English | Português do Brasil
English
Summary
Brazilian Portuguese educational question-answer pairs whose problem statement or solution depends on one or more images.
Examples: 3,808
Referenced image URLs: 5,094 unique
Language: Brazilian Portuguese (pt-BR)
Schema
{"id":"vqa_...","subject":"matematica","category":"geometria","title":"...","messages":[{"role":"user","content":"...… See the full description on the dataset page: https://huggingface.co/datasets/artificialguybr/brazilian-math-physics-qa-vision.brazilian-math-physics-qa
Brazilian Math & Physics QA
English | Português do Brasil
English
Summary
Brazilian Portuguese question-answer pairs covering mathematics, physics, chemistry, and related educational subjects. Each record contains a user question and an assistant answer in chat/SFT format.
Examples: 19.082
Train: 18.148
Validation: 934
Language: Brazilian Portuguese (pt-BR)
Schema
{"id":"qa_...","subject":"fisica","category":"mecanica-geral"… See the full description on the dataset page: https://huggingface.co/datasets/artificialguybr/brazilian-math-physics-qa.adaption-africa-math-code-qa
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
adaption-africa_math_code_qa
This instruction-tuning dataset contains 331 question-answer pairs focused on mathematical word problems and Python coding tasks within African contexts. The content covers real-world scenarios such as currency conversion, budgeting, geospatial analysis, and web scraping for government data across countries like Uganda, Kenya, and South Africa.… See the full description on the dataset page: https://huggingface.co/datasets/gimmy256/adaption-africa-math-code-qa.translated-math_qaSEA-Sync-MathQAmmlu-qa-elementary-mathmathqamath-qanda
Math Q&A Dataset
This dataset contains basic math questions and answers suitable for school-level practice.
Dataset Structure
id: Unique identifier for each Q&A pair.
question: The math question.
answer: The correct answer.
Example
{
"id": 1,
"question": "What is 14 × 16?",
"answer": "The answer is 224."
}
ro_mathqa