datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Maths-CollegeMaths-College
I am releasing a large Mathematics dataset in the instrution format.
This extensive dataset, comprising nearly one million instructions in JSON format, encapsulates a wide array of mathematical disciplines essential for a profound understanding of the subject.
This dataset is very useful to Researchers & Model developers.
Following Fields & sub Fields are covered:
Probability
Statistics
Liner Algebra
Algebra
Group Theory
Topology
Abstract Algebra
Graph Theory
Combinatorics… See the full description on the dataset page: https://huggingface.co/datasets/ajibawa-2023/Maths-College.Maths-Grade-SchoolMaths-Grade-School
I am releasing large Grade School level Mathematics datatset.
This extensive dataset, comprising nearly one million instructions in JSON format, encapsulates a diverse array of topics fundamental to building a strong mathematical foundation.
This dataset is in instruction format so that model developers, researchers etc. can easily use this dataset.
Following Fields & sub Fields are covered:
Calculus
Probability
Algebra
Liner Algebra
Trigonometry
Differential Equations… See the full description on the dataset page: https://huggingface.co/datasets/ajibawa-2023/Maths-Grade-School.math-story-problems
Math Story Problems Dataset
Dataset Description
This dataset contains mathematical word problems presented in multiple formats, from direct equations to complex story-based scenarios. It is designed for training and evaluating language models on mathematical reasoning tasks.
Dataset Structure
The dataset is split into three parts:
Train: 131,072 samples
Validation: 1,024 samples
Test: 3,072 samples
Features
{
"eq_qs": "string", # Equation… See the full description on the dataset page: https://huggingface.co/datasets/azminetoushikwasi/math-story-problems.Maths-Grade-SchoolMaths-Grade-School
I am releasing large Grade School level Mathematics datatset.
This extensive dataset, comprising nearly one million instructions in JSON format, encapsulates a diverse array of topics fundamental to building a strong mathematical foundation.
This dataset is in instruction format so that model developers, researchers etc. can easily use this dataset.
Following Fields & sub Fields are covered:
Calculus
Probability
Algebra
Liner Algebra
Trigonometry
Differential Equations… See the full description on the dataset page: https://huggingface.co/datasets/pt-sk/Maths-Grade-School.math-sft-solutions-no-cot
Math SFT Solutions No CoT
A cleaned mathematics supervised fine-tuning dataset containing:
instruction → solution pairs
mathematical proofs
derivations
olympiad-style solutions
theorem reasoning
stepwise mathematical explanations
detailed final solutions
This dataset was built specifically for mathematical supervised fine-tuning (SFT).
Unlike many reasoning datasets, this release removes explicit chain-of-thought tags and hidden thinking traces while preserving high-quality… See the full description on the dataset page: https://huggingface.co/datasets/kaushik-harsh-99/math-sft-solutions-no-cot.math-sft-solutions-no-cot-v3
Math SFT Solutions No CoT V3
Math SFT Solutions No CoT V3 is a large-scale mathematics supervised fine-tuning (SFT) dataset designed for instruction tuning and mathematical capability adaptation.
Version 3 substantially expands mathematical coverage while improving dataset quality through stronger filtering, cleaning, and supervision refinement.
Unlike reasoning-heavy datasets, this release focuses on clean instruction → response pairs without hidden chain-of-thought style… See the full description on the dataset page: https://huggingface.co/datasets/kaushik-harsh-99/math-sft-solutions-no-cot-v3.math-synth-400k
math-synth — 400k arithmetic problems with exact step-by-step scratchpads
Synthetic math SFT data where every answer is provably correct, because nothing was written
by a language model — the problems and their worked solutions are generated programmatically in
Python, so the label is the computation.
Most synthetic math datasets are distilled from an LLM teacher, which means some fraction of the
answers are silently wrong and get baked into the student. This set has no teacher… See the full description on the dataset page: https://huggingface.co/datasets/nkthebass/math-synth-400k.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.lumos_maths_plan_iterative
🪄 Agent Lumos: Unified and Modular Training for Open-Source Language Agents
🌐[Website]
📝[Paper]
🤗[Data]
🤗[Model]
🤗[Demo]
We introduce 🪄Lumos, Language Agents with Unified Formats, Modular Design, and Open-Source LLMs. Lumos unifies a suite of complex interactive tasks and achieves competitive performance with GPT-4/3.5-based and larger open-source agents.
Lumos has following features:
🧩 Modular Architecture:
🧩 Lumos consists of planning, grounding… See the full description on the dataset page: https://huggingface.co/datasets/ai2lumos/lumos_maths_plan_iterative.lumos_maths_ground_onetime
🪄 Agent Lumos: Unified and Modular Training for Open-Source Language Agents
🌐[Website]
📝[Paper]
🤗[Data]
🤗[Model]
🤗[Demo]
We introduce 🪄Lumos, Language Agents with Unified Formats, Modular Design, and Open-Source LLMs. Lumos unifies a suite of complex interactive tasks and achieves competitive performance with GPT-4/3.5-based and larger open-source agents.
Lumos has following features:
🧩 Modular Architecture:
🧩 Lumos consists of planning, grounding… See the full description on the dataset page: https://huggingface.co/datasets/ai2lumos/lumos_maths_ground_onetime.lumos_maths_plan_onetime
🪄 Agent Lumos: Unified and Modular Training for Open-Source Language Agents
🌐[Website]
📝[Paper]
🤗[Data]
🤗[Model]
🤗[Demo]
We introduce 🪄Lumos, Language Agents with Unified Formats, Modular Design, and Open-Source LLMs. Lumos unifies a suite of complex interactive tasks and achieves competitive performance with GPT-4/3.5-based and larger open-source agents.
Lumos has following features:
🧩 Modular Architecture:
🧩 Lumos consists of planning, grounding… See the full description on the dataset page: https://huggingface.co/datasets/ai2lumos/lumos_maths_plan_onetime.lumos_maths_ground_iterative
🪄 Agent Lumos: Unified and Modular Training for Open-Source Language Agents
🌐[Website]
📝[Paper]
🤗[Data]
🤗[Model]
🤗[Demo]
We introduce 🪄Lumos, Language Agents with Unified Formats, Modular Design, and Open-Source LLMs. Lumos unifies a suite of complex interactive tasks and achieves competitive performance with GPT-4/3.5-based and larger open-source agents.
Lumos has following features:
🧩 Modular Architecture:
🧩 Lumos consists of planning, grounding… See the full description on the dataset page: https://huggingface.co/datasets/ai2lumos/lumos_maths_ground_iterative.math-sft-dataset
Dataset Card for Mori SFT Dataset
Mixed instruction data for supervised fine-tuning of the Mori small-model series. Math reasoning is the main push; a general-instruction slice is kept so compact models (around 1B–2B, including SmolLM2-1.7B) do not drop everyday instruction following.
Each row is a 3-turn conversation: a fixed system prompt, one user query, and one assistant response.
Dataset Details
Dataset Description
A single shuffled train split… See the full description on the dataset page: https://huggingface.co/datasets/grenishrai/math-sft-dataset.math-sft-solutions-no-cot-v2
Dataset Card for Math SFT Solutions No CoT V2
Dataset Summary
Math SFT Solutions No CoT V2 is a cleaned mathematical supervised fine-tuning (SFT) dataset designed for instruction tuning and mathematical capability adaptation.
This version introduces a simplified instruction–response format and removes intermediate reasoning contamination present in earlier processing.
Version 2 additionally includes augmented mathematical responses generated over GSM8K-style and… See the full description on the dataset page: https://huggingface.co/datasets/kaushik-harsh-99/math-sft-solutions-no-cot-v2.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.MathSmith-Self-Improvement-VarientSet
MathSmith: Towards Extremely Hard Mathematical Reasoning by Forging Synthetic Problems with a Reinforced Policy
This dataset contains variant problems generated by the MathSmith Self-Improvement Pipeline, introduced in the paper MathSmith: Towards Extremely Hard Mathematical Reasoning by Forging Synthetic Problems with a Reinforced Policy.
MathSmith is a framework for synthesizing challenging mathematical problems to enhance LLM reasoning. Rather than modifying existing problems… See the full description on the dataset page: https://huggingface.co/datasets/Jasaxion/MathSmith-Self-Improvement-VarientSet.11th-mathsMaths-Grade-SchoolMaths-Grade-School
I am releasing large Grade School level Mathematics datatset.
This extensive dataset, comprising nearly one million instructions in JSON format, encapsulates a diverse array of topics fundamental to building a strong mathematical foundation.
This dataset is in instruction format so that model developers, researchers etc. can easily use this dataset.
Following Fields & sub Fields are covered:
Calculus
Probability
Algebra
Liner Algebra
Trigonometry
Differential Equations… See the full description on the dataset page: https://huggingface.co/datasets/ammulu03/Maths-Grade-School.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.math-small-synthlabs
Math Small SynthLabs
Dataset Summary
This dataset is a small synthetic math-focused dataset generated using SynthLabs.app. It is designed for quick experimentation with instruction-following, step-by-step reasoning traces, and short-form question answering in a lightweight format (Parquet).
Note: Reasoning traces are model-generated and may contain errors. Use for research/education only.
What’s in this Dataset
Data Fields
Each row typically… See the full description on the dataset page: https://huggingface.co/datasets/mkurman/math-small-synthlabs.Math_small_corpus