datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AIME_1983_2024Disclaimer: This is a Benchmark dataset! Do not using in training!
This is the Benchmark of AIME from year 1983~2023, and 2024(part 2).
Original: https://artofproblemsolving.com/wiki/index.php/AIME_Problems_and_Solutions
2024(part 1) can be find at https://huggingface.co/datasets/AI-MO/aimo-validation-aime.
Citation
@misc {di_zhang_2025,
author = { {Di Zhang} },
title = { AIME_1983_2024 (Revision 6283828) },
year = 2025,
url = {… See the full description on the dataset page: https://huggingface.co/datasets/di-zhang-fdu/AIME_1983_2024.ai-model-popularity
Datamata AI Model Popularity Index
Weekly popularity of the most-downloaded and trending Hugging Face models: trailing downloads, likes, the model's task and its trending rank. One row per model from the most recent weekly snapshot.
Latest snapshot: 2026-09-20
Models in this release: 50
Updated: weekly
Licence: CC BY 4.0 — free to use and adapt, including commercially, with attribution.
Source & methodology: https://www.datamatastudios.com/datasets
Quickstart… See the full description on the dataset page: https://huggingface.co/datasets/datamatastudios/ai-model-popularity.aime-1983-2024
AIME Problem Set 1983-2024
Dataset Description
This dataset contains problems from the American Invitational Mathematics Examination (AIME) from 1983 to 2024. The AIME is a prestigious mathematics competition for high school students in the United States and Canada.
Dataset Summary
Source: Kaggle - AIME Problem Set 1983-2024
License: CC0: Public Domain
Total Problems: 2,250
Years Covered: 1983 to 2024
Main Task: Mathematics Problem Solving… See the full description on the dataset page: https://huggingface.co/datasets/gneubig/aime-1983-2024.ai-musicEchoXFlow
EchoXFlow
This dataset repository contains Croissant metadata plus one uncompressed tar archive per exam.
Extraction
Clone or download the dataset repository first. With Git, this creates an EchoXFlow/ folder:
git lfs install
git clone https://huggingface.co/datasets/Ahus-AIM/EchoXFlow
cd EchoXFlow
The downloaded repository contains croissant.json plus one tar archive per exam under exams/. Extract every exam
archive into a local data/ directory to materialize the… See the full description on the dataset page: https://huggingface.co/datasets/Ahus-AIM/EchoXFlow.i2p
Inaproppriate Image Prompts (I2P)
The I2P benchmark contains real user prompts for generative text2image prompts that are unproportionately likely to produce inappropriate images.
I2P was introduced in the 2023 CVPR paper Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models.
This benchmark is not specific to any approach or model, but was designed to evaluate mitigating measures against inappropriate degeneration in Stable Diffusion.
The corresponding… See the full description on the dataset page: https://huggingface.co/datasets/AIML-TUDA/i2p.mimose_runsAIME_1983_2024Disclaimer: This is a Benchmark dataset! Do not using in training!
This is the Benchmark of AIME from year 1983~2023, and 2024(part 2).
Original: https://artofproblemsolving.com/wiki/index.php/AIME_Problems_and_Solutions
2024(part 1) can be find at https://huggingface.co/datasets/AI-MO/aimo-validation-aime.
dlam-ts-project-data-2026
operations_forecasting_2026
Multivariate hourly forecasting for anonymized operations units.
Target
Predict the future hourly operational load index for each series_id. Higher values indicate more operational pressure in that unit.
Forecast Contract
Frequency: h
Series: 96
Timesteps per series: 4992
Target column: target
Training history length used by the baseline templates: 168
Rollout block length: 24
Required prediction horizon: validation: 336, test: 336… See the full description on the dataset page: https://huggingface.co/datasets/AIML-TUDA/dlam-ts-project-data-2026.aim-activation-informed-merging
AIM: does activation-informed merging change what makes a merge work?
Headline
AIM does exactly what it claims, the targeting is what makes it work — and it changes
nothing about what predicts a good merge.
AIM is exactly what it says on the tin, and that is verifiable from public artefacts alone.
The published with-AIM checkpoints are recovered, to R² = 0.9992, as a closed-form
per-input-channel shrinkage of their baseline twins toward the base model, with ω̂ =… See the full description on the dataset page: https://huggingface.co/datasets/Cross-Mergeability/aim-activation-informed-merging.MedBrowseComp
MedBrowseComp Dataset
This repository contains datasets for medical information-seeking-oriented deep research and computer use tasks.
Datasets
The repository contains three harmonized datasets:
MedBrowseComp_50: A collection of 50 medical entries for browsing and comparison.
MedBrowseComp_605: A comprehensive collection of 605 medical entries.
MedBrowseComp_CUA: A curated collection of medical data for comparison and analysis.
Usage
These datasets can be… See the full description on the dataset page: https://huggingface.co/datasets/AIM-Harvard/MedBrowseComp.EC-Guide
This repo is only used for dataset viewer. Please download from here.
Amazon KDDCup 2024 Team ZJU-AI4H’s Solution and Dataset (Track 2 Top 2; Track 5 Top 5)
The Amazon KDD Cup’24 competition presents a unique challenge by focusing on the application of LLMs in E-commerce across multiple tasks. Our solution for addressing Tracks 2 and 5 involves a comprehensive pipeline encompassing dataset construction, instruction tuning, post-training quantization, and inference… See the full description on the dataset page: https://huggingface.co/datasets/AiMijie/EC-Guide.AIME1983_2024SWMHWe collect this dataset from some mental health-related subreddits in https://www.reddit.com/ to further the study of mental disorders and suicidal ideation. We name this dataset as Reddit SuicideWatch and Mental Health Collection, or SWMH for short, where discussions comprise suicide-related intention and mental disorders like depression, anxiety, and bipolar. We use the Reddit official API and develop a web spider to collect the targeted forums. This collection contains a total of 54,412… See the full description on the dataset page: https://huggingface.co/datasets/AIMH/SWMH.Qwen3-235B-A22B-Thinking-2507_Qwen3-1.7B_AIME_1983_2024DeepSeek-R1-Distill-Qwen-32B_NUMINA_train_amc_aime-llama3.1LlavaGuardWARNING: This repository contains content that might be disturbing! Therefore, we set the Not-For-All-Audiences tag.
License
The annotations provided in this dataset (e.g., labels, bounding boxes, coordinates) are released under the Apache License 2.0. The linked or referenced images are not included under this license and remain under their original licenses. Users are responsible for ensuring compliance with the terms of use of the respective image sources.
Content… See the full description on the dataset page: https://huggingface.co/datasets/AIML-TUDA/LlavaGuard.AIMixDetectPublicData
AIMixDetect: detect mixed authorship of a language model (LM) and humans
contributors: Alon Kipnis, Idan Kashtan
This dataset was utilized in the paper "An Information-Theoretic Approach for Detecting Edits in AI-Generated Text" by Alon Kipnis and Idan Kashtan.
We used three Hugging Face publicly available datasets to generate our dataset:
aadityaubhat/GPT-wiki-intro
isarth/chatgpt-news-articles
NicolaiSivesind/ChatGPT-Research-Abstracts
For each category, the dataset includes… See the full description on the dataset page: https://huggingface.co/datasets/Kashtan/AIMixDetectPublicData.AIME
AIME Hallucination Detection Dataset
This dataset is created for detecting hallucinations in Large Language Models (LLMs), particularly focusing on complex mathematical problems. It can be used for tasks like model evaluation, fine-tuning, and research.
Dataset Details
Name: AIME Hallucination Detection Dataset
Format: CSV
Size: (14.6 MB)
Files Included:
AIME-hallucination-detection-dataset.csv: Contains the dataset.
Content Description
The dataset… See the full description on the dataset page: https://huggingface.co/datasets/hiddennode/AIME.AIME-1983-to-2026Interview-questionsannotations_creators:
crowdsourced
machine-generated
language:
en
language_creators:
machine-generated
crowdsourced
license:
other
multilinguality:
monolingual
pretty_name: 'interview-questions-on-Programming-languages
'
size_categories:
n<1K
source_datasets:
original
tags:
interview-questions
task_categories:
text-generation
task_ids:
language-modeling
Recruitment-Task-3
DeepWeeds - AI-MED AGH convenience mirror
This is a convenience mirror of the official DeepWeeds image archive and the
upstream annotations pinned to a specific commit. original/images.zip is
preserved unchanged; images are not extracted or duplicated here. models.zip
from the source authors is deliberately not mirrored.
Dataset facts
17,509 in-situ images from Queensland, Australia.
Nine classes: eight weed species plus Negative.
The authors publish five folds… See the full description on the dataset page: https://huggingface.co/datasets/AI-MED-AGH/Recruitment-Task-3.AIME_2026QWQ-LongCOT-AIMOQWQ-LongCOT-AIMO is a derived dataset created by processing the amphora/QwQ-LongCoT-130K dataset. It filters the original dataset to focus specifically on question-answering pairs where the final answer is a numerical value between 0 and 999, explicitly marked using the \boxed{...} format within the original chain-of-thought answer.
Dataset Structure
Data Splits
The dataset is split into training, validation, and test sets with an 80/10/10 ratio based on the filtered… See the full description on the dataset page: https://huggingface.co/datasets/Floppanacci/QWQ-LongCOT-AIMO.aimeAIME2025synthetic-chemical-reactor-5k-sample
RL-Ready Synthetic Chemical Batch Reactor Dataset
🚨 Download the full 50,000-row dataset featuring 269 complete reactor life-cycles here: https://aimindteam.gumroad.com/l/reactor-dataset 🚨
Overview
This dataset provides a mathematically consistent, high-fidelity simulation of an industrial liquid-phase exothermic batch reactor. It contains multivariate time-series operational logs designed specifically for training Reinforcement Learning (RL) agents, testing Predictive… See the full description on the dataset page: https://huggingface.co/datasets/AIMindTeams/synthetic-chemical-reactor-5k-sample.PDF_Extracted_Dataai-musicspanish-poetry-dataset-for-AFT-AImotionsThis dataset was previously created in Kaggle by Andrea Morales Garzón.
Link Kaggle