math-reasoning
deepseek-r1-14b-cot-math-reasoning-full-i1-GGUFqwen3-30b-a3b-base-reasoning-sft-nemotron-math-v4-500m-i1-GGUFReasoning-Llama-3.2-3B-Math-Instruct-RE1-i1-GGUFQwen3-1.7B-GRPO-KL-math-reasoningReasoning-Llama-3.2-3B-Math-Instruct-RE1-ORPO-i1-GGUFReasoning-Llama-3.2-3B-Math-Instruct-RE1-ORPO-align-i1-GGUFReasoning-Llama-3.2-3B-Math-Instruct-RE1-ORPO-GGUFReasoning-Llama-3.2-3B-Math-Instruct-RE1-GGUF
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.qwen3-30b-a3b-base-reasoning-sft-nemotron-math-v4-cot4k12k-500m-supervised
Qwen3-30B-A3B Reasoning SFT Prepacked Nemotron Math v4 CoT 4k-12k
This dataset is a train-ready, offline-prepacked SFT corpus for full supervised
fine-tuning of Qwen/Qwen3-30B-A3B-Base into a math reasoning model.
Source And Filtering
Source dataset: nvidia/Nemotron-SFT-Math-v4
Source revision: a94e56aeddcf6e75d28c8bd210f40fa62309288d
Source split: train
Intended subset: cot
Preferred source during selection: AoPS
Length filter: 4,000 to 12,000 supervised… See the full description on the dataset page: https://huggingface.co/datasets/ar0cket1/qwen3-30b-a3b-base-reasoning-sft-nemotron-math-v4-cot4k12k-500m-supervised.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.MATH-Reasoning-Paths
News
🌟🌟🌟 Try this dataset in our HuggingFace Space!
🥳🥳🥳 Thrilled to share that this NeurIPS paper was selected as 🏆 #1 Paper of the Day on Oct. 20th!
Sampled Reasoning Paths for the MATH dataset
This dataset contains sampled reasoning paths for the MATH dataset, released as part of the NeurIPS 2025 paper: "A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning" (Arxiv).
Overview
We generated… See the full description on the dataset page: https://huggingface.co/datasets/WNJXYK/MATH-Reasoning-Paths.reasoning-math-advanced-1m
🧠 Reasoning Math Advanced 1M
📖 Dataset Summary
Reasoning Math Advanced 1M is a large-scale, synthetic dataset designed to enhance the reasoning capabilities of Large Language Models (LLMs). Comprising 1,000,000 unique samples, this dataset focuses on Math, Logic, and Common Sense reasoning tasks.
A unique feature of this dataset is its adaptive reasoning structure, where the presence of Chain-of-Thought (CoT) reasoning scales with difficulty. All reasoning traces are… See the full description on the dataset page: https://huggingface.co/datasets/naimulislam/reasoning-math-advanced-1m.NOESIS-1M-reasoning-router-code-math-psych-opus47-deepseek4-qwen36-gemini31-r1-gpt54
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I host free GGUF or MoE quants as independent research.
Local hardware: Mechrevo Kuangshi GM7AG0M — RTX 3060 Laptop 6GB GDDR6, 64GB DDR5, i7-12700H (14C/20T, 4.7GHz), Windows 11, Samsung 990 Pro.
Good for imatrix and 0.6–35B-class work in RAM. 9B+ and searches need rented H200/Blackwell, typically $100 per quant.
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💚 Thanks to Hugging Face for extra storage.🦄… See the full description on the dataset page: https://huggingface.co/datasets/AMAImedia/NOESIS-1M-reasoning-router-code-math-psych-opus47-deepseek4-qwen36-gemini31-r1-gpt54.