datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
math-reasoning-sft-100k
Math Reasoning SFT (100K)
100,000 math problems with detailed step-by-step solutions — ready for supervised fine-tuning of math reasoning models.
Dataset Description
100,000 problems across 8 mathematical categories and 3 difficulty levels:
Categories
Category
Examples
Topics
word_problems
~23,100
Rate/time/distance, work problems, mixture, meeting/catch-up
arithmetic
~15,400
Percentages, profit/loss, ratios
geometry
~15,400
Area… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/math-reasoning-sft-100k.math-reasoning-ift-pairs
Reasoning-IFT Pairs (Math Domain)
Paper | Project Page
This dataset provides the largest set of IFT and Reasoning answers pairs for a set of math queries (cf: general-domain).
It is based on the Llama-Nemotron-Post-Training dataset, an extensive and high-quality collection of math instruction fine-tuning data.
We curated 150k queries from the math subset of Llama-Nemotron-Post-Training, which covers multiple domains of math questions.For each query, we used… See the full description on the dataset page: https://huggingface.co/datasets/Scale-or-Reason/math-reasoning-ift-pairs.mathreasoning
MathReasoning
The MathReasoning Dataset is a large-scale, high-quality dataset (~3.13M rows) focused on mathematics, logical reasoning, and problem-solving. It is primarily generated through synthetic distillation techniques, complemented by curated open-source educational content. The dataset is designed to train and evaluate language models in mathematical reasoning, quantitative problem-solving, and structured chain-of-thought tasks across domains from basic arithmetic to… See the full description on the dataset page: https://huggingface.co/datasets/169Pi/mathreasoning.math-reasoning-sft
Mathematical Reasoning SFT Dataset
This dataset contains mathematical reasoning problems and solutions in instruction-following format, designed for supervised fine-tuning of language models.
Dataset Structure
The dataset follows the Alpaca format with three fields:
instruction: Mathematical problem statement
input: Empty string (not used)
output: Detailed solution with step-by-step reasoning and final answer in \boxed{} format
Example
{
"instruction":… See the full description on the dataset page: https://huggingface.co/datasets/est-ai/math-reasoning-sft.mathreasoning
MathReasoning
The MathReasoning Dataset is a large-scale, high-quality dataset (~3.13M rows) focused on mathematics, logical reasoning, and problem-solving. It is primarily generated through synthetic distillation techniques, complemented by curated open-source educational content. The dataset is designed to train and evaluate language models in mathematical reasoning, quantitative problem-solving, and structured chain-of-thought tasks across domains from basic arithmetic to… See the full description on the dataset page: https://huggingface.co/datasets/aloks16/mathreasoning.Math-reasoning-Opus4.6-typhoon-translated
Dataset Card for Math-reasoning-Opus4.6-typhoon-translated
Dataset Description
This dataset is a Thai-translated version of the Crownelius/Opus-4.6-Reasoning-3300x dataset. It is designed to train and evaluate mathematical reasoning capabilities in Thai language models.
The original English dataset was translated into Thai using the scb10x/typhoon-translate1.5-4b model, providing high-quality, localized mathematical problems, step-by-step thinking processes, and… See the full description on the dataset page: https://huggingface.co/datasets/Thiraput01/Math-reasoning-Opus4.6-typhoon-translated.math-reasoning-benchmark
[!NOTE]
IMPORTANT: Please help us protect the integrity of this benchmark by not publicly sharing, re-uploading, or distributing the dataset.
Math Reasoning Benchmark
Evaluating LLMs on Chained Multi-Step Mathematical Reasoning
Leaderboard
Overview
The Math Reasoning Benchmark evaluates language models on their ability to solve chained multi-step mathematical problems. Each question is a directed acyclic graph (DAG) of math sub-problems ("nodes"), where… See the full description on the dataset page: https://huggingface.co/datasets/sumeetrm/math-reasoning-benchmark.math-reasoning-dpo
Mathematical Reasoning DPO Dataset
This dataset contains mathematical reasoning problems with chosen and rejected responses, designed for Direct Preference Optimization (DPO) and preference learning of language models.
Dataset Structure
The dataset follows the ShareGPT format for DPO training with three main fields:
conversations: List of conversation turns leading up to the response
chosen: Preferred response with detailed reasoning and correct solution
rejected: Less… See the full description on the dataset page: https://huggingface.co/datasets/est-ai/math-reasoning-dpo.