datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
aime25
AIME 25
American Invitational Mathematics Examination (AIME) 2025
Citation
If you use the AIME25 dataset in your research, please consider citing it as follows:
@misc{aime25,
title={American Invitational Mathematics Examination (AIME) 2025},
author={Zhang, Yifan and Math-AI, Team},
year={2025},
}
aime26
AIME 26
American Invitational Mathematics Examination (AIME) 2026
Citation
If you use the AIME26 dataset in your research, please consider citing it as follows:
@misc{aime26,
title={American Invitational Mathematics Examination (AIME) 2026},
author={Zhang, Yifan and Math-AI, Team},
year={2026},
}
AIME2025
AIME 2025 Dataset
Dataset Description
This dataset contains problems from the American Invitational Mathematics Examination (AIME) 2025-I & II.
aime24_nofiguresThe 30 problems from AIME 2024 only with the ASY code for figures when it is necessary to solve the problem. Figure code that is not core to the problem was excluded.
Citation Information
@misc{muennighoff2025s1simpletesttimescaling,
title={s1: Simple test-time scaling},
author={Niklas Muennighoff and Zitong Yang and Weijia Shi and Xiang Lisa Li and Li Fei-Fei and Hannaneh Hajishirzi and Luke Zettlemoyer and Percy Liang and Emmanuel Candès and Tatsunori Hashimoto}… See the full description on the dataset page: https://huggingface.co/datasets/simplescaling/aime24_nofigures.aime-2024AIME-Plus-Plus
AIME++ Sample
AIME++ is Ulam AI's exact-answer mathematical reasoning environment. It keeps one of the most useful properties of AIME-style evaluation—a compact, deterministic answer in the integer range 0–999—and extends it across four levels of mathematical depth, from competition-style problems to research-level challenges.
This repository contains a 157-problem, MIT-licensed sample of Ulam AI's much larger problem catalog. Every problem has a canonical integer answer and a… See the full description on the dataset page: https://huggingface.co/datasets/ulamai/AIME-Plus-Plus.AIME_Deepseek_Cleanamc_aime_self_improving
Additional Information
This dataset contains mathematical problem-solving traces generated using the CAMEL framework. Each entry includes:
A mathematical problem statement
A detailed step-by-step solution
An improvement history showing how the solution was iteratively refined
Special thanks to our community contributor, GitHoobar, for developing the STaR pipeline!🙌
AIME_1983_2024AIME25The AIME25 part 1 exam from the website.
aime25_nofiguresaime_nofiguresThe 90 problems from AIME 2022, 2023, 2024 only with the ASY code for figures when it is necessary to solve the problem. Figure code that is not core to the problem was excluded.
Citation Information
@misc{muennighoff2025s1simpletesttimescaling,
title={s1: Simple test-time scaling},
author={Niklas Muennighoff and Zitong Yang and Weijia Shi and Xiang Lisa Li and Li Fei-Fei and Hannaneh Hajishirzi and Luke Zettlemoyer and Percy Liang and Emmanuel Candès and Tatsunori… See the full description on the dataset page: https://huggingface.co/datasets/simplescaling/aime_nofigures.AIME-COD
Dataset Summary
AIME-COD is a synthetic dataset created to solve problems from the American Invitational Mathematics Examination (AIME) using chain of draft reasoning, as proposed in the Chain of Draft: Thinking Faster by Writing Less paper.
The dataset was generated using Curator and synthetic reasoning produced by Gemini 2.0 Flash. Problems are sourced from the gneubig/aime-1983-2024 dataset.
Dataset Details
Purpose and Scope
The AIME-COD… See the full description on the dataset page: https://huggingface.co/datasets/KingNish/AIME-COD.AIME25aime-2025aimeeAIME-trajectory
AIME Trajectory Dataset
Model-generated solution trajectories for AIME (American Invitational Mathematics Examination) problems. Each row is one model response to a single problem, including the hidden chain-of-thoughts (when available), and the final response.
Dataset Summary
Split
Rows
Unique Problems
Years
Model(s)
Has reasoning_content
Accuracy
train
1,258
875
1983–2023
deepseek-r1
Yes
100%
test
180
30
2024
Multiple (see below)
No
3.3%… See the full description on the dataset page: https://huggingface.co/datasets/sxiong/AIME-trajectory.otis-mock-aime-24-25Problems from the 2024 and 2025 editions of the OTIS Mock AIME exam.
The problems were written by students from the Olympiad Training for Individual Study (OTIS) program.
The dataset contains 45 problems from 3 exams:
15 problems from Mock AIME 2024
15 problems from Mock AIME 2025 (I)
15 problems from Mock AIME 2025 (II)
AIME-22-25AIME22-24 + AIME25-PartI + AIME25-PartII
amc_aime_distilled
Additional Information
This dataset contains mathematical problem-solving traces generated using the CAMEL framework. Each entry includes:
A mathematical problem statement
A detailed step-by-step solution
aime24_figuresThe 30 problems from AIME 2024 with all ASY code for figures.
Citation Information
@misc{muennighoff2025s1simpletesttimescaling,
title={s1: Simple test-time scaling},
author={Niklas Muennighoff and Zitong Yang and Weijia Shi and Xiang Lisa Li and Li Fei-Fei and Hannaneh Hajishirzi and Luke Zettlemoyer and Percy Liang and Emmanuel Candès and Tatsunori Hashimoto},
year={2025},
eprint={2501.19393},
archivePrefix={arXiv},
primaryClass={cs.CL}… See the full description on the dataset page: https://huggingface.co/datasets/simplescaling/aime24_figures.aime_2024-th
AIME 2024-th
A Thai translation of all 30 problems of the 2024 American Invitational Mathematics
Examination. Every row corresponds 1:1, in order, to a row of the English source, so
the Thai and English scores of a model are directly comparable.
Source and licence
Problems
2024 AIME I and II, Mathematical Association of America
Problem and solution text
Art of Problem Solving wiki, per-row url
File we translated from
HuggingFaceH4/aime_2024… See the full description on the dataset page: https://huggingface.co/datasets/iapp/aime_2024-th.2000-Reasoning-AIME-NuminamathPapperScoreaime_figuresThe 90 problems from AIME 2022, 2023, 2024 with all ASY code for figures.
Citation Information
@misc{muennighoff2025s1simpletesttimescaling,
title={s1: Simple test-time scaling},
author={Niklas Muennighoff and Zitong Yang and Weijia Shi and Xiang Lisa Li and Li Fei-Fei and Hannaneh Hajishirzi and Luke Zettlemoyer and Percy Liang and Emmanuel Candès and Tatsunori Hashimoto},
year={2025},
eprint={2501.19393},
archivePrefix={arXiv}… See the full description on the dataset page: https://huggingface.co/datasets/simplescaling/aime_figures.aimee2aime2026-en
AIME 2026 · English — parallel multilingual math benchmark
The 2026 AIME competition (30 problems) in English, for evaluating whether a model can
reason in English (not pivot to English) and still solve competition math. Each item forces
target-language reasoning and carries a rule-based numeric ground-truth answer. One of six parallel
languages (en/zh/es/fr/ar/ru); companion sets: aime2026-zh · aime2026-es · aime2026-fr · aime2026-ar · aime2026-ru.
Contents… See the full description on the dataset page: https://huggingface.co/datasets/96kevinli29/aime2026-en.aime24-official
AIME 2024 — official wording, figures retained
All 30 problems from the 2024 American Invitational Mathematics Examination (AIME I and AIME II),
transcribed from the official exam text with every figure retained as Asymptote source.
This exists because the circulating text-only versions of AIME 2024 are not faithful to the
official problems, and at least one problem in them cannot be solved as written.
Why this dataset exists
While evaluating a reasoning model on… See the full description on the dataset page: https://huggingface.co/datasets/YichengWangCA/aime24-official.aime25-deepseekrepremover-xl
repremover-xl
7,281 anti-repetition roleplay conversations. Each row is a real RP
conversation containing an assistant turn that largely repeated an earlier
turn, cut at that point, with the repeating turn replaced by a rewritten
continuation. The intent: supervision located at the decision point where
models tend to loop.
Built for spoomplesmaxx-thrasher-24B
to reconstruct the idea behind the gated Dans-Prosemaxx-RepRemover-1. The
full generation script (gen_repremover_xl.py)… See the full description on the dataset page: https://huggingface.co/datasets/aimeri/repremover-xl.