datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ade20k-panoptic-demo
Dataset Card for "ade20k-panoptic-demo"
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PanoCity
PanoCity Dataset
A Large-Scale Aerial Panoramic Dataset for 3D Scene Understanding
📊 Dataset Statistics
Attribute
Value
Total Size
1.4 TB
Cities
Beijing (20 blocks), Jinan (76 blocks), Ningbo (41 blocks)
Panoramic RGB Images
119,537 (2048×4096)
Panoramic Depth Maps
119,537 (2048×4096)
Total Images
239,074
Image Format
PNG
📂 Data Structure
PanoCity/
├── splits_config.json # Official train/test splits
├──… See the full description on the dataset page: https://huggingface.co/datasets/YijingGuo/PanoCity.PANORAMA
PANORAMA - Public Training & Development Dataset
Contrast-enhanced (portal-venous) abdominal CT for pancreatic ductal
adenocarcinoma (PDAC) detection, from the PANORAMA challenge organised by the
Diagnostic Image Analysis Group (DIAG), Radboud UMC. This is the largest public
PDAC CT dataset and the first public PDAC detection challenge.
Mirror of the official public training/development cohort only. The hidden
validation and test sets used for the challenge leaderboard are not… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/PANORAMA.PanScale
PanScale
Dataset Summary
PanScale is a remote-sensing pansharpening dataset with paired multispectral (ms) and panchromatic (pan) TIFF images for cross-scale evaluation.
Total pairs: 7,559
Disk size: ~6.9 GB
Format: 8-bit TIFF
Supported Tasks
Image Fusion (Cross-scale Pansharpening)
Subsets at a Glance
Subset
Splits
# Pairs
MS size
PAN size
PAN/MS scale
jilin
train200, test200/400/800
1,157
200-800
200-800
1.0
landsat
train256… See the full description on the dataset page: https://huggingface.co/datasets/kecao/PanScale.panlex-meanings
Dataset Card for panlex-meanings
This is a dataset of words in several thousand languages, extracted from https://panlex.org.
Dataset Details
Dataset Description
This dataset has been extracted from https://panlex.org (the 20240301 database dump) and rearranged on the per-language basis.
Each language subset consists of expressions (words and phrases).
Each expression is associated with some meanings (if there is more than one meaning, they are in separate… See the full description on the dataset page: https://huggingface.co/datasets/gtak1/panlex-meanings.panlex-meanings
Dataset Card for panlex-meanings
This is a dataset of words in several thousand languages, extracted from https://panlex.org.
Dataset Details
Dataset Description
This dataset has been extracted from https://panlex.org (the 20240301 database dump) and rearranged on the per-language basis.
Each language subset consists of expressions (words and phrases).
Each expression is associated with some meanings (if there is more than one meaning, they are in separate… See the full description on the dataset page: https://huggingface.co/datasets/cointegrated/panlex-meanings.Countdown-Tasks-3to4PanoWorld
PanoWorld RealSee3D Evaluation Data
This dataset repository contains the RealSee3D evaluation data package used for PanoWorld experiments. The data is distributed as a single versioned archive:
RealSee3D_eval_data.tar.gz
Dataset Summary
The package contains indoor synthetic scene evaluation data organized by scene and viewpoint. Each scene directory contains scene-level evaluation metadata and a set of viewpoints. Each viewpoint contains a panorama image, six… See the full description on the dataset page: https://huggingface.co/datasets/JiaJinrang/PanoWorld.PanoInfinigen🗃️ PanoInfinigen Dataset
PanoInfinigen is a synthetic dataset of high-resolution panoramic images in ERP, featuring perfectly aligned RGB, Depth, and Surface Normals. This dataset was generated using a modified Infinigen framework to support wide-angle panoramic geometry, plus the iCity procedural city generator for the urban split.
It serves as the primary training data for PaGeR, a single-step diffusion model for zero-shot panoramic depth… See the full description on the dataset page: https://huggingface.co/datasets/prs-eth/PanoInfinigen.pane-binding-functions-attributionpandabench
PandaBench
Paper | Project Page | Code
PandaBench (and PandaSet) is an image distortion benchmark designed for evaluating perceptual comparison and distortion-aware visual reasoning. It introduces the task of learning a Distortion Graph (DG), representing dense degradation information such as distortion type, severity, and quality scores in a compact, interpretable graph structure grounded in image regions.
PandaSet (the train/val folders) is used to train the model (Panda), while… See the full description on the dataset page: https://huggingface.co/datasets/kjanjua26/pandabench.TCGA-PANCAN-HiSeq-2770x20530gene expression cancer RNA-Seq - Check the original submission: - https://www.synapse.org/Synapse:syn2812925 - is maintained by the cancer genome atlas pan-cancer analysis project. - TCGA-PANCAN-HiSeq-2770x20530
Files combined:
unc.edu_BRCA_IlluminaHiSeq_RNASeqV2.geneExp (20530, 957) BRCA
unc.edu_KIRC_IlluminaHiSeq_RNASeqV2.geneExp (20530, 552) KIRC
unc.edu_LUAD_IlluminaHiSeq_RNASeqV2.geneExp (20530, 413) LUAD
unc.edu_THCA_IlluminaHiSeq_RNASeqV2.geneExp (20530, 471) THCA… See the full description on the dataset page: https://huggingface.co/datasets/Fllamber/TCGA-PANCAN-HiSeq-2770x20530.Pancreatic-CT-CBCT-SEG
Pancreatic-CT-CBCT-SEG
Breath-hold CT and cone-beam CT (CBCT) images with expert manual
organ-at-risk (OAR) segmentations from radiation treatments of locally
advanced pancreatic cancer at Memorial Sloan Kettering Cancer Center.
Dataset Details
Field
Value
Modality
CT (planning, breath-hold, contrast-enhanced) + CBCT (kV, deep-inspiration breath-hold)
Body part
Upper abdomen — gastrointestinal organs-at-risk
Task
3D multi-class segmentation (2… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/Pancreatic-CT-CBCT-SEG.centeredSquarePancancerCTSeg
MICCAI FLARE Task1 Pan-cancer Segmentation Dataset
Note: Please fill out the registration form on the challenge website below to have your data access request approved.
This is the dataset for MICCAI26 Challenge: Pan-cancer segmentation in CT scans.
We have curated over 17,000 labeled cancer CT scans, aiming to promote the development of accurate and robust pan-cancer segmentation models in low-resource settings.
Data Source and Structure
Substantial time and… See the full description on the dataset page: https://huggingface.co/datasets/FLARE-MedFM/PancancerCTSeg.pandasetPandaSet aims to promote and advance research and development in autonomous driving and machine learning.
The first open-source dataset made available for both academic and commercial use, PandaSet combines Hesai’s best-in-class LiDAR sensors with Scale AI’s high-quality data annotation.
PandaSet features data collected using a forward-facing LiDAR with image-like resolution (PandarGT) as well as a mechanical spinning LiDAR (Pandar64).
The collected data was annotated with a combination of… See the full description on the dataset page: https://huggingface.co/datasets/georghess/pandaset.remittance-pricing-panel
Remittance pricing panel
Repeated observations from Wise's public remittance comparison service, covering exchange rates, stated fees and estimated recipient amounts across selected currency corridors.
Contents
Table
Record
remittance_quotes
A provider's displayed comparison for a corridor and send amount, with rate, fees and recipient amount
Using the data
The collector queries twenty configured currency corridors at specified send… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/remittance-pricing-panel.PANEL_IMAGESPanShot-nodistort
PanShot-nodistort
Non-distorted PanShot dataset backup for UCPE.
Original source path on backup machine:
/mnt/dataset/zt8kgo/ucpe_ckpt/data/UCPE/PanShot-nodistort
Dataset was uploaded as tar split shards to avoid Hugging Face per-directory file-count limits.
Restore:
mkdir -p /path/to/restore
cd /path/to/restore
cat shards/PanShot-nodistort.tar.part-* | tar -xf -
Expected extracted folder:
PanShot-nodistort/
PanTSMini
Dataset Summary
We present PanTS (The Pancreatic Tumor Segmentation Dataset) recently created by JHU. It is a large-scale, multi-institutional dataset, containing 36,390 three-dimensional CT volumes from 145 medical centers, with expert-validated, voxel-wise annotations of over 993,000 anatomical structures, covering pancreatic tumors, pancreas head, body, and tail, and 24 surrounding anatomical structures such as vascular/skeletal structures and abdominal/thoracic… See the full description on the dataset page: https://huggingface.co/datasets/BodyMaps/PanTSMini.panda-pick-place-10-43-37_22-05-2026panda-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.Panobench
Dataset Card for Panobench
Panobench: A dense benchmark for Electrocardio Panorama
To enable comprehensive evaluation of panoramic ECG view synthesis, we curated a new benchmark, Panobench, which for the first time extends beyond previous datasets limited to only 8 or 12 views. Panobench comprises 4,470 ten-second recordings with 48 viewpoints (6 limb and 42 precordial leads), each annotated with CT-derived spherical coordinates (θ, φ). By expanding to 48 leads (views)… See the full description on the dataset page: https://huggingface.co/datasets/whynotJunger/Panobench.Agilex_Cobot_Magic_fold_the_pants
Agilex_Cobot_Magic_fold_the_pants
📋 Overview
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Robot Type: Agilex_Cobot_Magic
| Codebase Version: v2.1
End-Effector Type: two_finger_gripper
🏠 Scene Types
This dataset covers the following scene types:
home
🤖 Atomic Actions
This dataset includes the following atomic actions:
grasp
fold
📊 Dataset Statistics
Metric… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/Agilex_Cobot_Magic_fold_the_pants.ElephantBench-Source
ElephantBench Source Corpus
This dataset contains the low-quality partition ($D_{\mathrm{low}}$) used to construct ElephantBench. The released benchmark is available separately at panzs19/ElephantBench.
$D_{\mathrm{low}}$ is derived from cx-cmu/repro-organic-data-72B using the RePro fastText quality score. It contains 47,850,862 English web documents in 600 JSONL.zstd shards (approximately 65 GiB compressed). Each record retains the source text, URL, quality score, and original… See the full description on the dataset page: https://huggingface.co/datasets/panzs19/ElephantBench-Source.PANEL_IMAGESreason-over-search-eval-m5
Reason-over-Search M5: unified held-out evaluation (9 runs)
Held-out 7-benchmark QA evaluation of the M5 reward-shape x seed ablation: Qwen3.5-0.8B GRPO-trained on MuSiQue with three reward shapes (F1-only / F1+format / EM-only) at three seeds (42 / 43 / 44). This repo is the uniform, light index of every checkpoint's eval scores; it carries the per-cell metric_score.txt + config.yaml and the per-run aggregated CSVs, in ONE consistent layout. (The heavy intermediate_data.json… See the full description on the dataset page: https://huggingface.co/datasets/pantomiman/reason-over-search-eval-m5.dental-panoramic-xray-yolo
Dental Panoramic X-Ray Detection Dataset (YOLO Format)
Combined dataset for dental pathology detection on panoramic radiographs, in YOLO format. Built for training liodon-ai/dental-panoramic-detector.
Classes
ID
Name
Description
0
caries
Dental caries and deep caries
1
periapical_lesion
Periapical / apical periodontitis
2
impacted_tooth
Impacted and wisdom teeth
Dataset Sources
Source
Images
Boxes
License
DENTEX
724
3… See the full description on the dataset page: https://huggingface.co/datasets/liodon-ai/dental-panoramic-xray-yolo.LocoTrack-panning-MOVi-EPanda-CVL-train
Panda-CVL Training Split
Overview
Panda-CVL is a token-level correction dataset and benchmark annotated with the onPanda tool.
Given a question-response pair, the model first judges whether the response is acceptable.
If correction is needed, it must locate the first inappropriate token and replace it with an
appropriate one, so generation can continue from the "correct prefix + corrected token" state
and ultimately produce an acceptable response.
Compared with… See the full description on the dataset page: https://huggingface.co/datasets/diyer22/Panda-CVL-train.