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.UltraVideo
UltraVideo: High-Quality UHD 4K Video Dataset
🤓 Project | 📑 Paper | 🤗 Hugging Face (UltraVideo Dataset)) | 🤗 Hugging Face (UltraVideo-Long Dataset)) | 🤗 Hugging Face (UltraWan-1K/4K Weights)
UltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions
🎋 Click below image to watch the 4K demo video.
🤓 First open-sourced UHD-4K/8K video datasets with comprehensive structured (10 types) captions.🤓 Native 1K/4K videos generation by UltraWan.… See the full description on the dataset page: https://huggingface.co/datasets/APRIL-AIGC/UltraVideo.multimodal-ct-radiology-reports
Perle AI Multi-phase CECT and CT with Radiology Reports
Summary
A de-identified CT dataset from Perle AI, paired with the original radiology reports. It supports work on multi-modal medical imaging: phase or pathology classification, report generation from images, and visual question answering.
The release has three configurations:
Config
Modality
Subjects
Pairing
cect_3phase
3-phase contrast-enhanced abdominal CT (DICOM)
5
per-subject text report +… See the full description on the dataset page: https://huggingface.co/datasets/Perle-ai/multimodal-ct-radiology-reports.epic-kitchens-100-clips
EPIC-KITCHENS-100 Extracted Clips
About
Dataset of 37455 video clips (24GB) extracted from videos in the EPIC-KITCHENS-100 dataset,
more precisely the extension part not contained in EPIC-KITCHENS-55. For details,
see https://www.lightly.ai/product-updates/epickitchens-100-in-lightlystudio.
The clips folder contains one video for every narration from action annotations stored
in {participant_id}/{narration_id}.mp4. The videos have been downscaled an compressed for easier… See the full description on the dataset page: https://huggingface.co/datasets/lightly-ai/epic-kitchens-100-clips.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.UltraVideo-Long
UltraVideo: High-Quality UHD 4K Video Dataset
🤓 Project | 📑 Paper | 🤗 Hugging Face (UltraVideo Dataset)) | 🤗 Hugging Face (UltraVideo-Long Dataset)) | 🤗 Hugging Face (UltraWan-1K/4K Weights)
UltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions
🎋 Click below image to watch the 4K demo video.
🤓 First open-sourced UHD-4K/8K video datasets with comprehensive structured (10 types) captions.🤓 Native 1K/4K videos generation by UltraWan.… See the full description on the dataset page: https://huggingface.co/datasets/APRIL-AIGC/UltraVideo-Long.arena-human-preference-55kDataset for Kaggle competition on predicting human preference on Chatbot Arena battles.
The training dataset includes over 55,000 real-world user and LLM conversations and user preferences across over 70 state-of-the-art LLMs, such as GPT-4, Claude 2, Llama 2, Gemini, and Mistral models.
Each sample represents a battle consisting of 2 LLMs which answer the same question, with a user label of either prefer model A, prefer model B, tie, or tie (both bad).
Citation
Please cite the… See the full description on the dataset page: https://huggingface.co/datasets/lmarena-ai/arena-human-preference-55k.ECommerce-Women-Clothing-Reviewssuno-ai-music-dataset
Suno AI Music Dataset (Multi-Genre Curated)
A human-curated, multi-genre audio dataset generated with Suno V5.5 (chirp-fenix), covering 100+ sub-sub-genres across electronic, hip-hop, Latin, jazz, world, rock, ambient, pop, reggae, and classical music. Each track ships with full audio (MP3), cover art, the original generation prompt, and a 32-column metadata schema designed for downstream audio-ML research.
This is not a "scrape everything Suno produces" dump. It is a… See the full description on the dataset page: https://huggingface.co/datasets/Kukedlc/suno-ai-music-dataset.FINDER_API_KEY_AI_SEARCH_2023
FINDER_API_KEY_AI_SEARCH_2023
tags: data collection, machine learning, API performance
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'FINDER_API_KEY_AI_SEARCH_2023' dataset is designed to collect and analyze data from various AI search engines and their associated API performance metrics. The dataset focuses on the effectiveness of API key-based access in enhancing the search capabilities of AI systems and includes a… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/FINDER_API_KEY_AI_SEARCH_2023.panda-bench
PandaBench
PandaBench is a comprehensive benchmark for evaluating Large Language Model (LLM) safety, focusing on jailbreak attacks, defense mechanisms, and evaluation methodologies.
The PandaGuard framework architecture illustrating the end-to-end pipeline for LLM safety evaluation. The system connects three key components: Attackers, Defenders, and Judges.
Dataset Description
This repository contains the benchmark results from extensive evaluations of various… See the full description on the dataset page: https://huggingface.co/datasets/Beijing-AISI/panda-bench.mimose_runsMANGO
MANGO: A Corpus of Human Ratings for Speech
MANGO (MUSHRA Assessment corpus using Native listeners and Guidelines to understand human Opinions at scale) is the first large-scale dataset designed for evaluating Text-to-Speech (TTS) systems in Indian languages.
Key Features:
255,150 human ratings of TTS-generated outputs and ground-truth human speech.
Covers two major Indian languages: Hindi & Tamil, and English.
Based on the MUSHRA (Multiple Stimuli with Hidden Reference… See the full description on the dataset page: https://huggingface.co/datasets/ai4bharat/MANGO.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.CostNav-Teleop-Dataset
CostNav Teleop Dataset
Dataset Summary
The CostNav Teleop Dataset is a large-scale collection of human teleoperation recordings for robot navigation in an urban sidewalk simulation environment. It was collected as part of the CostNav benchmark, which evaluates navigation systems using real-world economic cost and revenue metrics rather than purely technical metrics.
The dataset contains 2,203 teleoperation episodes totaling 50.2 hours of driving… See the full description on the dataset page: https://huggingface.co/datasets/maum-ai/CostNav-Teleop-Dataset.Sujet-Finance-Instruct-177k
Sujet Finance Dataset Overview
The Sujet Finance dataset is a comprehensive collection designed for the fine-tuning of Language Learning Models (LLMs) for specialized tasks in the financial sector. It amalgamates data from 18 distinct datasets hosted on HuggingFace, resulting in a rich repository of 177,597 entries. These entries span across seven key financial LLM tasks, making Sujet Finance a versatile tool for developing and enhancing financial applications of AI.… See the full description on the dataset page: https://huggingface.co/datasets/sujet-ai/Sujet-Finance-Instruct-177k.twitter-airline-sentiment
Dataset Card for Twitter US Airline Sentiment
Dataset Summary
This data originally came from Crowdflower's Data for Everyone library.
As the original source says,
A sentiment analysis job about the problems of each major U.S. airline. Twitter data was scraped from February of 2015 and contributors were asked to first classify positive, negative, and neutral tweets, followed by categorizing negative reasons (such as "late flight" or "rude service").
The data we're… See the full description on the dataset page: https://huggingface.co/datasets/osanseviero/twitter-airline-sentiment.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.
ai-timeline
AI Timeline Dataset
An open, dated, source-linked record of what artificial intelligence actually
did between July 2025 and today. Every row is a single real-world event with a
primary source attached.
3,088 events · 790 distinct publishers · 2025-07-01 to 2026-09-25
Maintained by Present of AI, a daily AI news site.
Updated as the timeline grows.
Why this exists
Most AI datasets are benchmarks or model outputs. This one is a record of
events: deployments, funding… See the full description on the dataset page: https://huggingface.co/datasets/presentofai/ai-timeline.ai-crawler-index
AI Crawler Index
150 web crawlers and AI user agents from 74 operators — what each one is for,
what blocking it costs you, and the IP ranges its operator publishes.
Plus a compiled user-agent regex and the union of 1997 IPv4 and 1062 IPv6
prefixes from 15 operator-published range files.
Home: https://www.pathwren.workers.dev/c/huggingface-datasets/ · CC0 · no signup, no key.
What this is, plainly
This is an independent, non-commercial automated project. It is run… See the full description on the dataset page: https://huggingface.co/datasets/pathwren/ai-crawler-index.rna-downstream-tasks
GB.RNA Benchmark Datasets
mRNA related tasks
Translation efficiency prediction from Chu et al.(2024) [1]
3 cell lines: Muscle, pc3, HEK
input sequence: 5'UTR
10-fold cross-validation split
mRNA expression level prediction from Chu et al.(2024) [1]
3 cell lines: Muscle, pc3, HEK
input sequence: 5'UTR
10-fold cross-validation split
Mean ribosome load prediction from Sample et al. (2019) [2]
input sequence: 5'UTR
ouput: mean ribosome load
the original data… See the full description on the dataset page: https://huggingface.co/datasets/genbio-ai/rna-downstream-tasks.Vietnamese-THUIR-T2Ranking-gg-translated
📚 5CD-AI/Vietnamese-THUIR-T2Ranking-gg-translated
📝 Overview
Vietnamese-THUIR-T2Ranking-gg-translated is a large-scale dataset for passage ranking in Vietnamese.It is translated from the original THUIR/T2Ranking [1] using Google Translate, inspired by the approach of mMARCO [2].The dataset aims to provide a large-scale dataset for research and applications in Information Retrieval (IR) in Vietnamese.
In IR, passage ranking is an essential and challenging task… See the full description on the dataset page: https://huggingface.co/datasets/5CD-AI/Vietnamese-THUIR-T2Ranking-gg-translated.ai-api-pricing
AI API Pricing Dataset
This Hugging Face dataset is the machine-readable distribution of the public AI API pricing records published by AICostBudget. It is not a separately curated subset: train.csv, prices.csv, and prices.json are generated from the same Pricing V2 public projection used by the AICostBudget Dataset page and download APIs.
Prices change frequently. Verify production billing decisions against the provider pricing page, contract, billing dashboard, and invoice.… See the full description on the dataset page: https://huggingface.co/datasets/aicostbudget-ai/ai-api-pricing.CUDA-L2
CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning
🥳 Introduction
CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 systematically outperforms major matmul baselines to date, from the widely-used torch.matmul to state-of-the-art NVIDIA closed-source libraries (cuBLAS… See the full description on the dataset page: https://huggingface.co/datasets/ornith-ai/CUDA-L2.AniGen-Sample-Dataset
AniGen Sample Data
This directory is a compact example subset of the AniGen training dataset.
What Is Included
10 examples
10 unique raw assets
Full cross-modal files for each example
A subset metadata.csv with 10 rows
The retained directory layout follows the core structure of the reference test set:
raw/
renders/
renders_cond/
skeleton/
voxels/
features/
metadata.csv
statistics.txt
latents/ (encoded by the trained slat auto-encoder)
ss_latents/ (encoded by the… See the full description on the dataset page: https://huggingface.co/datasets/VAST-AI/AniGen-Sample-Dataset.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.Surya-bench-solarwind
Solar Wind Forecasting Dataset
Dataset Summary
This dataset provides hourly solar wind plasma and interplanetary magnetic field (IMF) parameters at L1, derived from NASA’s OMNI dataset. The primary forecasting target is the solar wind speed (V), while additional parameters are included for completeness:
Solar wind speed (V)
IMF Bx (GSE)
IMF By (GSM)
IMF Bz (GSM)
Proton number density (N)
The dataset is structured for machine learning experiments, particularly… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Surya-bench-solarwind.ai-agent-security-incidents
AI Agent Security Incident Database v0.1
A structured, machine-readable database of 1405 confirmed AI agent security incidents, collected and classified automatically.
What is this?
Every time an AI agent causes unintended harm — escaping a sandbox, exploiting an API, taking unauthorized actions, exfiltrating data — this database captures it.
This is not a list of theoretical risks. Every entry describes something that actually happened, with a verifiable source… See the full description on the dataset page: https://huggingface.co/datasets/gemmozero/ai-agent-security-incidents.METRAQ-Air-Quality
The METRAQ air quality dataset
This is the official dataset repository for the METRAQ air quality dataset.
METRAQ air quality is an air quality dataset comprising hourly measurements of up to 14 pollutants from January 1, 2001, to December 31, 2024. In addition, the dataset has been spatially and temporally aligned with up to seven meteorological parameters (available since January 1, 2019) and three traffic monitoring metrics, aggregated using five different interpolation methods… See the full description on the dataset page: https://huggingface.co/datasets/dmariaa70/METRAQ-Air-Quality.