datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
RealCam-Vid
RealCam-Vid Dataset
News
25/04/08: We provide torch dataset demo code for example usage of our RealCam-Vid.
25/03/26: Release our dataset RealCam-Vid v1 for metric-scale camera-controlled video generation, containing ~100K video clips with dedicated short/long captions and metric-scale camera annotations.
25/02/18: Initial commit of the project, we plan to release the full dataset and data processing code in several… See the full description on the dataset page: https://huggingface.co/datasets/MuteApo/RealCam-Vid.airlens-live
AirLens Live Data
Live data layer for AirLens, an open
air-quality monitoring platform. Updated by scheduled GitHub Actions pipelines.
Layout mirrors the former Supabase Storage buckets:
Path
Content
Cadence
aq-data/current-*-grid.json
Global pollutant grids (PM2.5/PM10/O3/NO2/CO)
hourly
aq-data/timeline/
GEFS-Aerosols PM2.5 frames, -24h..+24h, 3h step
every 3h
aq-data/predictions/grid_latest.json
AOD→PM2.5 model predictions (p10-p90 + DQSS)
every 3h… See the full description on the dataset page: https://huggingface.co/datasets/Robeedau/airlens-live.ChatGPT-Jailbreak-Prompts
Dataset Card for Dataset Name
Name
ChatGPT Jailbreak Prompts
Dataset Summary
ChatGPT Jailbreak Prompts is a complete collection of jailbreak related prompts for ChatGPT. This dataset is intended to provide a valuable resource for understanding and generating text in the context of jailbreaking in ChatGPT.
Languages
[English]
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.nrvbench-review
NR Video Editing Benchmark
This repository contains two non-rigid video editing benchmark subsets for evaluating instruction-driven video editing methods. Each row in metadata.csv corresponds to one editing instruction for a source video, with relative paths to the source video, extracted frames, binary masks, prompts, and evaluation questions.
The dataset card is written without author or institution identifiers so it can be used for anonymous review uploads. Before a non-anonymous… See the full description on the dataset page: https://huggingface.co/datasets/NRVBench/nrvbench-review.REPID
REPID: Rendering Evaluation of Photographic Image Dataset
REPID (officially introduced as the Rendering Evaluation of Photographic Image Dataset) is a large-scale benchmark designed for Image Rendering Quality Assessment (IRQA) in paper Beyond distortions: a benchmark for subjective evaluation of image rendering quality.
Unlike traditional Image Quality Assessment (IQA) which focuses on technical degradations like noise or blur, REPID aims to model subjective human aesthetic… See the full description on the dataset page: https://huggingface.co/datasets/vsevolodpl/REPID.quantum-representations
Epsilon-Transformers Belief Analysis Dataset
This dataset contains trained neural network models and their corresponding belief state regression analysis from the Epsilon-Transformers project. The models were trained on four different stochastic processes and analyzed for their ability to learn and represent belief states.
See https://github.com/adamimos/epsilon-transformers/tree/quantum-public for codebase which generated this data.
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/SimplexAI/quantum-representations.open-asr-leaderboard-resultsSynthetic-UAV-Flight-Trajectories
UAV Trajectory Dataset
Summary
This dataset comprises over 5000 random UAV (Unmanned Aerial Vehicle) trajectories collected over 20 hours of flight time. It is intended for training AI models such as trajectory prediction applications. The dataset is generated through an automated pipeline for the creation and preprocessing of UAV synthetic trajectories, making it ready for direct AI model training.
Data Description
The dataset features parameterized… See the full description on the dataset page: https://huggingface.co/datasets/riotu-lab/Synthetic-UAV-Flight-Trajectories.real-or-fake-fake-jobposting-predictionspreadsheet-arena-release
Spreadsheet Arena
A dataset of 555 pairwise human preference votes over LLM-generated spreadsheets, spanning 124 distinct user-submitted prompts and 17 models.
This is the public release accompanying the Spreadsheet Arena paper.
Contents
battles.csv
models.csv
outputs/<id>/
sheet.json
sheet.xlsx
<id> is a 16-char hex identifier (HMAC-SHA256 of an internal UUID under a… See the full description on the dataset page: https://huggingface.co/datasets/Longitude-Labs/spreadsheet-arena-release.wlasl_reduced
Reduced WLASL Dataset
This dataset is a task-specific reduced version of the WLASL dataset,
constructed for American Sign Language (ASL) recognition experiments.
Contents
videos/Video clips organized by gloss label.
metadata.csvPer-sample metadata including:
file path
gloss label
fps (after normalization, if applied)
video resolution
normalized bounding box coordinates
gloss_map.jsonMapping from gloss labels to integer class IDs.
Dataset Construction… See the full description on the dataset page: https://huggingface.co/datasets/jherng/wlasl_reduced.Deep-RL-Course-CertificationMassSpecGym
MassSpecGym provides a dataset and benchmark for the discovery and identification of new molecules from tandem mass spectrometry (MS/MS) spectra. The provided challenges abstract the process of scientific discovery of new molecules from biological and environmental samples into well-defined machine learning problems.
Papers
MassSpecGym in the Wild: Uncovering and Correcting Evaluation Pitfalls in AI-Driven Molecule Discovery (2025): Paper Link
MassSpecGym: A benchmark for… See the full description on the dataset page: https://huggingface.co/datasets/roman-bushuiev/MassSpecGym.hnm-fashion-recommendations-data
Dataset Rekomendasi Fashion H&M
Dataset ini berisi data transaksi, atribut pelanggan, dan metadata produk yang telah dianonimkan dari H&M Group. Kumpulan data komprehensif ini memungkinkan pemodelan perilaku pembelian pelanggan secara mendalam.
Wawasan yang dihasilkan dapat dimanfaatkan untuk berbagai tujuan bisnis yang strategis, mulai dari meningkatkan personalisasi pengalaman berbelanja, mengoptimalkan manajemen inventaris untuk efisiensi produksi, hingga mendukung inisiatif… See the full description on the dataset page: https://huggingface.co/datasets/einrafh/hnm-fashion-recommendations-data.TSP_EXECUTION_RUNSstaining-robustness-evaluation
A Protocol for Evaluating Robustness to H&E Staining Variation in Computational Pathology Models
This repository provides the stain references, pretrained models, and experimental results required to:
Define custom staining references using our PLISM reference library
Reproduce our published controlled staining robustness experiments
👉 Code repository: https://github.com/lely475/staining-robustness-evaluation/tree/main
👉 Associated publication: Paper
Overview: How… See the full description on the dataset page: https://huggingface.co/datasets/CTPLab-DBE-UniBas/staining-robustness-evaluation.ECommerce-Women-Clothing-ReviewsObjaverse-XL-Rigged-Animated
Objaverse-XL Rigged & Animated Subset
Every asset here carries both a skeleton and at least one animation clip, selected from
Objaverse / Objaverse-XL. Rigs range from 3 to 344 joints and
span characters as well as articulated rigid objects.
Objaverse-XL indexes over 10 million objects, but only a small fraction carry a usable rig and
motion on it. This subset isolates that fraction: every file was checked to contain at least one
skin with joints and at least one animation clip… See the full description on the dataset page: https://huggingface.co/datasets/Linzhan/Objaverse-XL-Rigged-Animated.kernelbench-v3-runs
KernelBench-v3 — Agent Runs
2071 agent evaluations from the v3 sweep (2026-02): 10 frontier models × {RTX 3090, H100, B200} × 43–58 problems per GPU. Each row is one (model, gpu, problem) triple with correctness, speedup, baseline timing, token usage, cost, and a pointer to the agent's winning solution.py.
Companion datasets:
Infatoshi/kernelbench-v3-problems — 60 problem definitions
Infatoshi/kernelbench-hard-runs — newer KernelBench-Hard sweep (12 models × 7 problems on Blackwell… See the full description on the dataset page: https://huggingface.co/datasets/Infatoshi/kernelbench-v3-runs.cantabile-runs
cantabile-runs
Work queue and checkpoint store for the Cantabile dynamics study. The directory tree
is the plan — there is no plan file and no database.
main/<song>/<method>/.gitkeep queued, unclaimed
main/<song>/<method>/<seed>/CLAIM-<worker> a worker holds it (mtime = heartbeat)
main/<song>/<method>/<seed>/*.pt done: 5M / 6M / 7M / 8M checkpoints
main/<song>/<method>/<seed>/FAILED crashed, needs a human
A worker lists main/, takes… See the full description on the dataset page: https://huggingface.co/datasets/well-balanced/cantabile-runs.TIME-OutputThis repository contains the extracted time series features (tsfeatures) for each variate and the detailed forecasting results for every experiment.
Note: These files are for building leaderboard and visualization; users do not need to download this directory.
features/: Statistical Features (tsfeatures)
Each dataset's features are saved to: output/features/{dataset}/{freq}/.
This directory stores the computed tsfeatures for the variates in the dataset. The folder contains a CSV file… See the full description on the dataset page: https://huggingface.co/datasets/Real-TSF/TIME-Output.world-stock-prices-daily-updatingRaon-OpenTTS-Eval
Raon-OpenTTS-Eval
Technical Report
A robustness-oriented evaluation benchmark for zero-shot text-to-speech, covering 4 acoustic regimes (Clean, Noisy, Wild, Expressive) across 12 datasets with 6,000 prompt–text pairs.
Existing zero-shot TTS benchmarks typically evaluate models using prompts drawn from a single read-speech dataset, providing an incomplete view of robustness under realistic and challenging recording scenarios. Raon-OpenTTS-Eval… See the full description on the dataset page: https://huggingface.co/datasets/KRAFTON/Raon-OpenTTS-Eval.Krea-2-Raw_samples_Best_ofThis dataset is a highly diverse set of high quality images generated with Krea 2 Raw.
NOTE: Raw is not intended for image generation, so do not use these images to judge the quality of the model.
Raw is intended for training, as are the samples in this dataset as they can be used for regularization.
Possible uses
Regularization images for training models based on Krea 2 Raw
Quality testing
Data source
This dataset is derived from… See the full description on the dataset page: https://huggingface.co/datasets/stablellama/Krea-2-Raw_samples_Best_of.argument_quality_ranking_30k
Dataset Card for Argument-Quality-Ranking-30k Dataset
Dataset Summary
Argument Quality Ranking
The dataset contains 30,497 crowd-sourced arguments for 71 debatable topics labeled for quality and stance, split into train, validation and test sets.
The dataset was originally published as part of our paper: A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis.
Argument Topic
This subset contains 9,487 of the arguments only with… See the full description on the dataset page: https://huggingface.co/datasets/ibm-research/argument_quality_ranking_30k.fsrs-datasetWomens_Clothing_E-Commerce_Reviewsbenchmark-llms-landuse-relevance
Land-use relevance benchmark
v3-multilingual · 85 languages x 300 items/language ·
25,500 items · binary yes/no labels.
Code
Task and prompt
Does a sentence describe a place's land or environment in ways visible to satellites?
English prompt · greedy decoding · seed 0 · max_new_tokens=4096 ·
bfloat16 · batch varies by model.
unsloth/Qwen3.8-27B-GGUF@UD-IQ2_XXS runs the UD-IQ2_XXS GGUF quant through llama.cpp (same prompt, template, greedy decoding and budget).… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/benchmark-llms-landuse-relevance.practice-radar-behavioral-health-npi-sample
New behavioral-health organization NPIs — weekly NPPES sample
A 15-row public sample from a weekly, reproducible selection of newly enumerated Type 2 behavioral-health organizations in the U.S. Centers for Medicare & Medicaid Services National Plan and Provider Enumeration System (NPPES).
Edition at a glance
Measured period: July 6–12, 2026
New Type 2 organizations screened: 2,722
Behavioral-health organizations selected: 486
States and territories represented:… See the full description on the dataset page: https://huggingface.co/datasets/unitedideas/practice-radar-behavioral-health-npi-sample.