datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AIME_2000_2026_Kimi_K3
AIME 2000–2026 — Kimi K3 reasoning traces
🔄 Changelog
2026-08-08 — full re-generation. All reasoning traces were regenerated from scratch and re-verified against the official answer key.
New schema — added gen_attempts_low, gen_attempts_high; renamed gen_parsed_answer → gen_answer_int and answer_note → problem_note; removed gen_effort, gen_pass1.
New generation — only use the bare problem (v1 appended an "ANSWER:" format instruction), so traces are cleaner.… See the full description on the dataset page: https://huggingface.co/datasets/bevangelista/AIME_2000_2026_Kimi_K3.aime-1983-2025
AIME Datasets from 1983 to 2025
This dataset contains the AIME datasets from 1983 to 2025.
For AIME 1983 to 2026 use Pandores/aime-1983-2026
Features Description
Feature
Description
Example
year
The year this problem was released. From 1983 to 2025.
2022
index
The index of the problem for a year and part. From 1 to 15.
12
part
The dataset part if this dataset has multiple parts. Can be AIME, AIME I, AIME II or None. Datasets have multiple parts… See the full description on the dataset page: https://huggingface.co/datasets/Pandores/aime-1983-2025.AIME-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.aim-technical-articles
Analytics India Magazine Technical Articles Dataset 🚀
Dataset Description
This comprehensive dataset contains 25,685 high-quality technical articles from Analytics India Magazine, one of India's leading publications covering artificial intelligence, machine learning, data science, and emerging technologies.
✨ Dataset Highlights
📚 Comprehensive Coverage: Latest AI models, frameworks, and tools
🔬 Technical Depth: Extracted keywords and complexity scoring
🏭… See the full description on the dataset page: https://huggingface.co/datasets/abhilash88/aim-technical-articles.AIME_1983_2026_Kimi_K3
AIME 1983–2026 — Kimi K3 reasoning traces
🔄 Changelog
2026-08-08 — full re-generation. All reasoning traces were regenerated from scratch and re-verified against the official answer key.
New schema — added gen_attempts_low, gen_attempts_high; renamed gen_parsed_answer → gen_answer_int and answer_note → problem_note; removed gen_effort, gen_pass1.
New generation — only use the bare problem (v1 appended an "ANSWER:" format instruction), so traces are cleaner.… See the full description on the dataset page: https://huggingface.co/datasets/bevangelista/AIME_1983_2026_Kimi_K3.SHP
🚢 Stanford Human Preferences Dataset (SHP)
If you mention this dataset in a paper, please cite the paper: Understanding Dataset Difficulty with V-Usable Information (ICML 2022).
Summary
SHP is a dataset of 385K collective human preferences over responses to questions/instructions in 18 different subject areas, from cooking to legal advice.
The preferences are meant to reflect the helpfulness of one response over another, and are intended to be used for training… See the full description on the dataset page: https://huggingface.co/datasets/aimeelizq/SHP.AIME_2026_Kimi_K3
AIME 2026 — Kimi K3 reasoning traces
🔄 Changelog
2026-08-08 — full re-generation. All reasoning traces were regenerated from scratch and re-verified against the official answer key.
New schema — added gen_attempts_low, gen_attempts_high; renamed gen_parsed_answer → gen_answer_int and answer_note → problem_note; removed gen_effort, gen_pass1.
New generation — only use the bare problem (v1 appended an "ANSWER:" format instruction), so traces are cleaner.
AIME… See the full description on the dataset page: https://huggingface.co/datasets/bevangelista/AIME_2026_Kimi_K3.AIME_2025_Kimi_K3
AIME 2025 — Kimi K3 reasoning traces
🔄 Changelog
2026-08-08 — full re-generation. All reasoning traces were regenerated from scratch and re-verified against the official answer key.
New schema — added gen_attempts_low, gen_attempts_high; renamed gen_parsed_answer → gen_answer_int and answer_note → problem_note; removed gen_effort, gen_pass1.
New generation — only use the bare problem (v1 appended an "ANSWER:" format instruction), so traces are cleaner.
AIME… See the full description on the dataset page: https://huggingface.co/datasets/bevangelista/AIME_2025_Kimi_K3.aime-1983-2026
AIME Datasets from 1983 to 2026
This dataset contains all the AIME problems from 1983 to 2026. For a total of 1065 problems.
Example
Download
from datasets import load_dataset
dataset = load_dataset("Pandores/aime-1983-2026")
print(dataset["train"][0])
Download and iterate
from datasets import load_dataset
dataset = load_dataset("Pandores/aime-1983-2026", split="train")
for entry in dataset:
print(entry["problem"])… See the full description on the dataset page: https://huggingface.co/datasets/Pandores/aime-1983-2026.aime24-tr
AIME 2024 (Turkish) Dataset
This dataset contains the Turkish translations of problems from the 2024 American Invitational Mathematics Examination (AIME). It is intended to serve as a benchmark for evaluating the advanced mathematical reasoning capabilities of Large Language Models (LLMs) in the Turkish language.
The questions were translated into Turkish using GPT-5, then manually verified and corrected. Additional quality checks were performed to identify formatting issues, LaTeX… See the full description on the dataset page: https://huggingface.co/datasets/ytu-ce-cosmos/aime24-tr.aime25-tr
AIME 2025 (Turkish) Dataset
This dataset contains the Turkish translations of problems from the 2025 American Invitational Mathematics Examination (AIME). It is intended to serve as a benchmark for evaluating the advanced mathematical reasoning capabilities of Large Language Models (LLMs) in the Turkish language.
The questions were translated into Turkish using GPT-5, then manually verified and corrected. Additional quality checks were performed to identify formatting issues, LaTeX… See the full description on the dataset page: https://huggingface.co/datasets/ytu-ce-cosmos/aime25-tr.aime-1983-2024-ptpt
AIME-PT (1983-2024)
Portuguese translation of problems from the American Invitational Mathematics Examination (AIME) spanning 1983-2024.
Translated using Gemma-4 31B-It.
Original Dataset: https://artofproblemsolving.com/wiki/index.php/AIME_Problems_and_Solutions
Note: This dataset is machine translated and may contain translation errors or artifacts.
This dataset is provided as part of the AMALIA project and is included in AMALIA-Bench, a comprehensive benchmark suite… See the full description on the dataset page: https://huggingface.co/datasets/amalia-llm/aime-1983-2024-ptpt.