datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Math_CoT_Arabic_English_Reasoning
Math CoT Arabic English Dataset
A high-quality, bilingual (English & Arabic) dataset for Chain-of-Thought (COT) reasoning in mathematics and related disciplines, developed by Miscovery AI.
Overview
Math-COT is a unique dataset designed to facilitate and benchmark the development of chain-of-thought reasoning capabilities in language models across mathematical domains. With meticulously crafted examples, explicit reasoning steps, and bilingual support, this dataset offers… See the full description on the dataset page: https://huggingface.co/datasets/miscovery/Math_CoT_Arabic_English_Reasoning.easy_turkish_math_reasoning
Easy Turkish Math Reasoning
Dataset Summary
The Easy Turkish Math Reasoning dataset is the first phase of a multi-stage curriculum learning pipeline designed to enhance the reasoning abilities of compact language models. This dataset focuses on elementary-level arithmetic and logic problems in Turkish, serving as a warm-up stage for supervised fine-tuning (SFT).
Use Case
Primarily used for:
Bootstrapping reasoning ability in Turkish for compact LLMs.
Phase 1… See the full description on the dataset page: https://huggingface.co/datasets/erayalp/easy_turkish_math_reasoning.medium_turkish_math_reasoning
Dataset Summary
The Medium Turkish Math Reasoning dataset is Phase 2 of a curriculum learning pipeline to teach compact models multi-step reasoning in Turkish. It includes moderately difficult math problems involving multiple reasoning steps, such as two-part arithmetic, comparisons, and logical reasoning.
Use Case
This dataset is ideal for:
Continuing SFT after foundational training with simpler problems.
Bridging the gap between basic arithmetic and complex GSM8K-style… See the full description on the dataset page: https://huggingface.co/datasets/erayalp/medium_turkish_math_reasoning.math-squared
Dataset Name
MATH2
Dataset Description
MATH2 is a mathematical reasoning evaluation dataset curated using a human-in-the-loop approach proposed in the paper AI-Assisted Generation of Difficult Math Questions. The dataset consists of 210 questions formed by combining 2 math domain skills using frontier LLMs. These skills were extracted from the MATH [Hendrycks et al., 2021] dataset.
Dataset Sources
Paper: AI-Assisted Generation of Difficult Math… See the full description on the dataset page: https://huggingface.co/datasets/veds12/math-squared.gsm8k-translated
Multilingual GSM8K Translations
This dataset contains machine-translated versions of GSM8K in these languages:
French (fr)
German (de)
Hindi (hi)
Dataset Structure
For each language, we provide the original GSM8K train and test splits:
train: 7,473 samples
test: 1,319 samples
Each sample consists of a question and an answer.
The question describes a grade-school-level math word problem that requires multi-step mathematical reasoning. The answer contains a… See the full description on the dataset page: https://huggingface.co/datasets/math-across-languages/gsm8k-translated.dart_math_banglaThe dataset contains math problems in bangla. hkust-nlp/dart-math-uniform is translated using facebook/nllb-200-3.3B. To achive better performance english sentences are splitted and then fed into the translation model.
math_onetMath-IIO-68K-Mini
Mathematics Dataset for AI Model Training
This dataset contains 68,000 rows of mathematical questions and their corresponding solutions. It is designed for training AI models capable of solving mathematical problems or providing step-by-step explanations for a variety of mathematical concepts. The dataset is structured into three columns: input, instruction, and output.
Dataset Overview
Input: A mathematical question or problem statement (e.g., arithmetic, algebra… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Math-IIO-68K-Mini.math-code-qa
Math & Code QA — Instruction Dataset
Worked mathematical solutions and short code answers, built for the
Adaption Labs AutoScientist Challenge (Math & Code category).
Rows
5,200
Math
3,600
Code
1,600
Distinct answers
5,199 (100%)
Duplicate questions
none
Nulls
none
Question length
median 27 words
Answer length
median 58 words (max 89)
License
CC-BY-4.0
What makes the math rows unusual
Every math answer is short worked reasoning… See the full description on the dataset page: https://huggingface.co/datasets/flamiinngo/math-code-qa.dumy-zno-ukrainian-math-history-geo-r1-o1
DUMY («Думи»): Ukrainian Multidomain Reasoning Dataset (Part 1: ZNO/NMT tasks with DeepSeek R1 and OpenAI o1 answers)
DUMY is an open benchmark and dataset designed for training, distillation, and evaluation of language models focused on Ukrainian reasoning tasks.
The word “Dumy” comes from Taras Shevchenko’s famous poem and literally means “thoughts” in Ukrainian:
Думи мої, думи мої,
Лихо мені з вами!
Нащо стали на папері
Сумними рядами?..
Work in progress. Stay tuned.… See the full description on the dataset page: https://huggingface.co/datasets/NLPForUA/dumy-zno-ukrainian-math-history-geo-r1-o1.math-toolcall-tr-benchmark
math-toolcall-tr-benchmark
bilalabic/gemma_4_math-toolcall-tr_lora
LoRA adaptörünü temel Gemma-4 E4B modeliyle karşılaştıran benchmark sonuçları.
Bu depo yalnızca değerlendirme çıktılarını içerir. Eğitim veri seti ayrı olarak
bilalabic/math-toolcall-tr
adresinde yayımlanmaktadır.
Benchmark'lar
Benchmark
Örnek
Ölçülen davranış
Türkçe MMLU
250
Genel bilgi doğruluğu ve eğitim sonrası bilgi kaybı
Matematik Tool-Call
150
Araç seçimi, çekimserlik ve çıktı… See the full description on the dataset page: https://huggingface.co/datasets/bilalabic/math-toolcall-tr-benchmark.math-code-qa-v2
Math & Code QA v2 — Instruction Dataset
Worked mathematical solutions and short code answers, spanning arithmetic word
problems through to algebra, geometry and combinatorics.
Built for the Adaption Labs AutoScientist Challenge (Math & Code category).
The model trained on this beats Llama-3.3-70B-Instruct 72 to 28 on the
held-out Math category evaluation.
Rows
5,297 (4,197 math, 1,100 code)
Distinct answers
5,297 (100%)
Duplicate questions
none
Nulls
none… See the full description on the dataset page: https://huggingface.co/datasets/flamiinngo/math-code-qa-v2.Math-physics-dataset-sq
Physics and Math Problems Dataset
This repository contains a dataset of 2,600 physics and math problems in Albanian. The dataset is designed to support various NLP tasks and educational applications.
Dataset Overview
Problems: 2,666
Language: Albanian
Fields:
algebra lineare: 178
analiza matematike: 176
gjeometri diferenciale: 178
topologji: 179
teoria e numrave: 177
ekuacionet diferenciale: 178
fizika klasike: 177
mekanika kuantike: 179
elektromagnetizmi: 178… See the full description on the dataset page: https://huggingface.co/datasets/LTS-VVE/Math-physics-dataset-sq.Math-IIO-Mini
Mathematics Dataset for AI Model Training
This dataset contains 500 rows of mathematical questions and their corresponding solutions. It is designed for training AI models capable of solving mathematical problems or providing step-by-step explanations for a variety of mathematical concepts. The dataset is structured into three columns: input, instruction, and output.
Dataset Overview
Input: A mathematical question or problem statement (e.g., arithmetic, algebra… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Math-IIO-Mini.Math-Solve
Overview
The Math-Solve dataset is a collection of math problems and their solutions, designed to facilitate training and evaluation of models for tasks such as text generation, question answering, and summarization. The dataset contains nearly 25k rows of math-related problems, each paired with a detailed solution.
This dataset is particularly useful for researchers and developers working on AI models that require mathematical reasoning and problem-solving capabilities.… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Math-Solve.Arabic_LLaMA_Math_Dataset
Arabic LLaMA Math Dataset
Example Entries
Dataset Overview
Dataset Name: Arabic_LLaMA_Math_Dataset.csv
Number of Records: 12,496
Number of Columns: 3
File Format: CSV
Dataset Structure
Columns:
Instruction: The problem statement or question (text, in Arabic)
Input: Additional input for model fine-tuning (empty in this dataset)
Solution: The solution or answer to the problem (text, in Arabic)
Dataset Description
The Arabic… See the full description on the dataset page: https://huggingface.co/datasets/Jr23xd23/Arabic_LLaMA_Math_Dataset.mathqaOrigianl dataset from allenai/math_qa
ktt-math-tutor-data
KTT Math Tutor — Data
Data artefacts for the AIMS KTT Hackathon Tier-3 submission
S2.T3.1 AI Math Tutor for Early Learners. Source code:
https://github.com/DrUkachi/ktt-math-tutor.
Contents
T3.1_Math_Tutor/
Core curriculum + seeds.
curriculum.json — 80 items × 5 sub-skills (counting, number
sense, addition, subtraction, word problem) with EN / FR / KIN
stems, difficulty 1–10, age bands 5–6 / 6–7 / 7–8 / 8–9, visual
asset keys, expected integer answer.… See the full description on the dataset page: https://huggingface.co/datasets/DrUkachi/ktt-math-tutor-data.daft-math
DAFT Math: Difficult Automatically-scorable Free-response Tasks for Math
Dataset Description
⚠️ Note: The dataset has important limitations and we strongly recommend reading the limitations section below before using it. It is not a formal METR benchmark and was originally designed for a very niche use-case. We present it only as a research artifact.
DAFT-Math is a collection of 199 challenging mathematical problems chosen to be at the limit of current LLM abilities… See the full description on the dataset page: https://huggingface.co/datasets/metr-evals/daft-math.Math-Forge-Hard
Math-Forge-Hard Dataset
Overview
The Math-Forge-Hard dataset is a collection of challenging math problems designed to test and improve problem-solving skills. This dataset includes a variety of word problems that cover different mathematical concepts, making it a valuable resource for students, educators, and researchers.
Dataset Details
Modalities
Text: The dataset primarily contains text data, including math word problems.
Formats… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Math-Forge-Hard.Math-Solve-Singleshot
Math-Solve-Singleshot
Overview
This dataset, named Math-Solve-Singleshot, is designed for solving single-shot mathematical problems. It contains a variety of math problems formatted in text, suitable for training and evaluating models on mathematical reasoning tasks.
Modalities
Text
Formats: CSV
Size: 1.05M rows
Libraries: pandas
Croissant
License: Apache-2.0
Dataset Details
Train Split: 1.05 million rows
Problem String Lengths:
Length 1: 16… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Math-Solve-Singleshot.BTP_HFHubspot