datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Math-Reasoning
Math-Reasoning
Dataset Description
Mathematical problem-solving, rewriting, and dialogue data for reasoning-oriented language-model training. This repository is part of the K2 Horizon collection.
The repository is organized into multiple subsets. Every subset has a train split backed by Parquet shards, which supports Dataset Viewer inspection and streaming access.
K2 Horizon Dataset Series
Dataset repository
Focus
Subsets
IFM/TxT360-v2… See the full description on the dataset page: https://huggingface.co/datasets/IFM/Math-Reasoning.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.severity_ablation_mathmath_reasoning_dataset_3Molympiad_style_integer_math_reasoning
Olympiad Math Reasoning Traces
Version: v1.0.2
Release date: 2026-04-19
64,763 full model reasoning traces for olympiad-style math problems with verified integer answers. This dataset contains only correct and non-truncated traces — every record contains a terminal \boxed{...} answer (within the last 500 characters of the response) that matches the expected integer exactly, and none of the responses hit the model's generation-token cap. Intended for distillation and supervised… See the full description on the dataset page: https://huggingface.co/datasets/mihailgribov/olympiad_style_integer_math_reasoning.CoRA_math_reasoning_benchmark_scalingCoRA_math_reasoning_benchmarkCoRA_math_reasoning_benchmark_finalmathreasoning
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.arabic-math-reasoning-synth
Arabic Math Reasoning (synthetic) — مسائل رياضيات عربية مع خطوات الحل
120,462 Arabic grade-school math word problems, each with a step-by-step derivation and a
concluding sentence. Generated with gemma-3-12b-it and Qwen3.8-27B-Uncensored-NVFP4 and
arithmetically verified — every equation the reasoning states was re-evaluated, and rows whose
own arithmetic does not check out were dropped.
generator
rows
share
gemma-3-12b-it
80,480
66.8%
Qwen3.8-27B-Uncensored-NVFP4… See the full description on the dataset page: https://huggingface.co/datasets/oddadmix/arabic-math-reasoning-synth.magpie-reasoning-v1-20k-math-verifiable-step-by-step-rationale-alpaca-formatCoRA_math_reasoning_benchmark_DPO_hintsmath-reasoningmath_reasoning_benchmark_scaling_hint-genopen-math-reasoning-cot-clean-v2gsm8k-math-reasoning-spanishopen-math-reasoning-cot-cleanSFT_reasoning_math_length_8192_dedup_10karxiv_rlad_math_reasoning_benchmark_hintsmath-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.math-reasoning-10k
Math-reasoning-10k
Dataset Summary
This dataset contains reasoning paths/plans generated for the first 10,000 problems and solutions from the NuminaMath-CoT dataset. Each entry consists of a mathematical problem and a corresponding reasoning plan that outlines the steps required to solve the problem, without actually solving it. This approach focuses on planning and reasoning, providing a structured pathway to solving the problem rather than the final solution itself.
The… See the full description on the dataset page: https://huggingface.co/datasets/Aarushhh/math-reasoning-10k.math_reasoning_benchmarkmath_natural_reasoningtptp_math_reasoning
Evaluate
from reasoning_core import score_answer
from datasets import load_dataset
from openai import OpenAI
# load data
ds = load_dataset("reasoning-core/tptp_math_reasoning")
df=ds['test'].to_pandas().head()
# run predictions
from concurrent.futures import ThreadPoolExecutor as TPE
client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=os.getenv("OPENROUTER_API_KEY"))
with TPE() as ex:
df['pred'] = list(ex.map(lambda p: client.chat.completions.create(… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-core/tptp_math_reasoning.math_reasoning_benchmarkTopoAlign_Pythonmagpie-reasoning-v1-20k-math-verifiable-step-by-step-rationalearxiv_rlad_math_reasoning_benchmark_hints_gen_iter1_sol_promptCoRA_math_reasoning_benchmark_testmathreasoning
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.