OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
Fuente:
arXiv
Saved in:
| Main Authors: | Toshniwal, Shubham, Moshkov, Ivan, Narenthiran, Sean, Gitman, Daria, Jia, Fei, Gitman, Igor |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
by: Toshniwal, Shubham, et al.
Published: (2024)
by: Toshniwal, Shubham, et al.
Published: (2024)
AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset
by: Moshkov, Ivan, et al.
Published: (2025)
by: Moshkov, Ivan, et al.
Published: (2025)
Nemotron-Math: Efficient Long-Context Distillation of Mathematical Reasoning from Multi-Mode Supervision
by: Du, Wei, et al.
Published: (2025)
by: Du, Wei, et al.
Published: (2025)
GenSelect: A Generative Approach to Best-of-N
by: Toshniwal, Shubham, et al.
Published: (2025)
by: Toshniwal, Shubham, et al.
Published: (2025)
NeMo-Inspector: A Visualization Tool for LLM Generation Analysis
by: Gitman, Daria, et al.
Published: (2025)
by: Gitman, Daria, et al.
Published: (2025)
Scaling Generative Verifiers For Natural Language Mathematical Proof Verification And Selection
by: Mahdavi, Sadegh, et al.
Published: (2025)
by: Mahdavi, Sadegh, et al.
Published: (2025)
Learning Generative Selection for Best-of-N
by: Toshniwal, Shubham, et al.
Published: (2026)
by: Toshniwal, Shubham, et al.
Published: (2026)
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
by: Tang, Zhengyang, et al.
Published: (2024)
by: Tang, Zhengyang, et al.
Published: (2024)
MegaMath: Pushing the Limits of Open Math Corpora
by: Zhou, Fan, et al.
Published: (2025)
by: Zhou, Fan, et al.
Published: (2025)
MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data
by: Fang, Meng, et al.
Published: (2024)
by: Fang, Meng, et al.
Published: (2024)
LuxInstruct: A Cross-Lingual Instruction Tuning Dataset For Luxembourgish
by: Philippy, Fred, et al.
Published: (2025)
by: Philippy, Fred, et al.
Published: (2025)
MathArena: Evaluating LLMs on Uncontaminated Math Competitions
by: Balunović, Mislav, et al.
Published: (2025)
by: Balunović, Mislav, et al.
Published: (2025)
ControlMath: Controllable Data Generation Promotes Math Generalist Models
by: Chen, Nuo, et al.
Published: (2024)
by: Chen, Nuo, et al.
Published: (2024)
Orca-Math: Unlocking the potential of SLMs in Grade School Math
by: Mitra, Arindam, et al.
Published: (2024)
by: Mitra, Arindam, et al.
Published: (2024)
Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset
by: Mahabadi, Rabeeh Karimi, et al.
Published: (2025)
by: Mahabadi, Rabeeh Karimi, et al.
Published: (2025)
Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
by: Albalak, Alon, et al.
Published: (2025)
by: Albalak, Alon, et al.
Published: (2025)
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
by: Luo, Haipeng, et al.
Published: (2023)
by: Luo, Haipeng, et al.
Published: (2023)
TabularMath: Understanding Math Reasoning over Tables with Large Language Models
by: Tian, Shi-Yu, et al.
Published: (2025)
by: Tian, Shi-Yu, et al.
Published: (2025)
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
by: Tong, Yuxuan, et al.
Published: (2024)
by: Tong, Yuxuan, et al.
Published: (2024)
Code Pretraining Improves Entity Tracking Abilities of Language Models
by: Kim, Najoung, et al.
Published: (2024)
by: Kim, Najoung, et al.
Published: (2024)
AgenticMath: Enhancing LLM Reasoning via Agentic-based Math Data Generation
by: Liu, Xianyang, et al.
Published: (2025)
by: Liu, Xianyang, et al.
Published: (2025)
MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion
by: Pei, Qizhi, et al.
Published: (2025)
by: Pei, Qizhi, et al.
Published: (2025)
SuperCLUE-Math6: Graded Multi-Step Math Reasoning Benchmark for LLMs in Chinese
by: Xu, Liang, et al.
Published: (2024)
by: Xu, Liang, et al.
Published: (2024)
Math Neurosurgery: Isolating Language Models' Math Reasoning Abilities Using Only Forward Passes
by: Christ, Bryan R., et al.
Published: (2024)
by: Christ, Bryan R., et al.
Published: (2024)
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning
by: Li, Chengpeng, et al.
Published: (2023)
by: Li, Chengpeng, et al.
Published: (2023)
MathPile: A Billion-Token-Scale Pretraining Corpus for Math
by: Wang, Zengzhi, et al.
Published: (2023)
by: Wang, Zengzhi, et al.
Published: (2023)
MathBuddy: A Multimodal System for Affective Math Tutoring
by: Kar, Debanjana, et al.
Published: (2025)
by: Kar, Debanjana, et al.
Published: (2025)
ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Questions
by: Van Long, Phuoc Pham, et al.
Published: (2023)
by: Van Long, Phuoc Pham, et al.
Published: (2023)
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling
by: Liu, Zihan, et al.
Published: (2024)
by: Liu, Zihan, et al.
Published: (2024)
RoMathExam: A Longitudinal Dataset of Romanian Math Exams (1895-2025) with a Seven-Decade Core (1957-2025)
by: Cuclea, Luca-Ncolae, et al.
Published: (2026)
by: Cuclea, Luca-Ncolae, et al.
Published: (2026)
Adversarial Math Word Problem Generation
by: Xie, Roy, et al.
Published: (2024)
by: Xie, Roy, et al.
Published: (2024)
Can LLMs Master Math? Investigating Large Language Models on Math Stack Exchange
by: Satpute, Ankit, et al.
Published: (2024)
by: Satpute, Ankit, et al.
Published: (2024)
REAMS: Reasoning Enhanced Algorithm for Maths Solving
by: Singh, Eishkaran, et al.
Published: (2025)
by: Singh, Eishkaran, et al.
Published: (2025)
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning
by: Singh, Shivalika, et al.
Published: (2024)
by: Singh, Shivalika, et al.
Published: (2024)
Self-Consistency Boosts Calibration for Math Reasoning
by: Wang, Ante, et al.
Published: (2024)
by: Wang, Ante, et al.
Published: (2024)
Let's Verify Math Questions Step by Step
by: Shen, Chengyu, et al.
Published: (2025)
by: Shen, Chengyu, et al.
Published: (2025)
Learning to Instruct for Visual Instruction Tuning
by: Zhou, Zhihan, et al.
Published: (2025)
by: Zhou, Zhihan, et al.
Published: (2025)
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
by: Shao, Zhihong, et al.
Published: (2024)
by: Shao, Zhihong, et al.
Published: (2024)
BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing
by: Tran, Hieu, et al.
Published: (2023)
by: Tran, Hieu, et al.
Published: (2023)
RoMath: A Mathematical Reasoning Benchmark in Romanian
by: Cosma, Adrian, et al.
Published: (2024)
by: Cosma, Adrian, et al.
Published: (2024)
Similar Items
-
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
by: Toshniwal, Shubham, et al.
Published: (2024) -
AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset
by: Moshkov, Ivan, et al.
Published: (2025) -
Nemotron-Math: Efficient Long-Context Distillation of Mathematical Reasoning from Multi-Mode Supervision
by: Du, Wei, et al.
Published: (2025) -
GenSelect: A Generative Approach to Best-of-N
by: Toshniwal, Shubham, et al.
Published: (2025) -
NeMo-Inspector: A Visualization Tool for LLM Generation Analysis
by: Gitman, Daria, et al.
Published: (2025)