cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/vimnd19h
title: LHC Olympics R&D dataset

description: The LHC Olympics R&D dataset, consisting of 106 simulated QCD di-jet events and up to 105 Z (cid:48) q ¯q) events
DOI: 10.57702/fnmmqodw
title: Split MS-COCO

description: The dataset used in the paper is the Split MS-COCO dataset, which is a comprehensive framework for continual image captioning.
DOI: 10.57702/vqqsm8px
title: EndoVis-18-VQLA

description: EndoVis-18-VQLA dataset is a public dataset with 14 video sequences on robotics surgery procedures. It is combined with the bounding box on tissue-instrument interaction detection tasks and the question-answer pairs from surgical VQA classification tasks.
DOI: 10.57702/v7jk17gc
title: EndoVis-17-VQLA

description: EndoVis-17-VQLA dataset is a public dataset with 97 frames with common tools and interactions from EndoVis-2017. It is annotated with question-answer-bounding box labels.
DOI: 10.57702/9npbkgfl
title: Colon Cancer histopathology dataset

description: The dataset contains 100 images obtained from tissues of either normal or malignant patient tissues.
DOI: 10.57702/fearskkz
title: MNIST, FashionMNIST, and KuzushijiMNIST datasets

description: The dataset contains 30 multi-instance classiﬁcation datasets generated from the MNIST, FashionMNIST, and KuzushijiMNIST datasets.
DOI: 10.57702/d9d8y2n0
title: Towards Socially and Morally Aware RL agent: Reward Design With LLM

description: The 2D Grid World environment with various items and consequences
DOI: 10.57702/9kwq6s90
title: ToG: Text of Gaze Dataset

description: Text-to-gaze dataset containing over 90k text descriptions of human gaze behavior.
DOI: 10.57702/ea8crd2x
title: FFHQ Dataset

description: The FFHQ dataset is a large dataset of high-quality face images with 1024 × 1024 resolution with variations in age, gender, and glasses.
DOI: 10.57702/154vtlex
title: Trans6D: Transformer-Based 6D Object Pose Estimation and Refinement

description: Dataset for 6D object pose estimation and refinement.
DOI: 10.57702/xcyxdb9h
title: ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation

description: Dataset for gaze estimation under extreme head pose and gaze variation.
DOI: 10.57702/v5hzwpzo
title: Controlled Rendered Data of Real World Objects

description: A dataset of complex image data with a fixed, known distribution, generated using a computer graphics pipeline.
DOI: 10.57702/f68rwswf
title: DAVIS-17 Dataset

description: The DAVIS-17 dataset, which is a benchmark for video object segmentation.
DOI: 10.57702/jp2k7lbz
title: Omniglot dataset

description: The Omniglot dataset consists of 100 classes, each containing 20 images. Ten images were taken from each class for augmentation, and the rest were used as the test set. Each image can generate 2004 new images by the ND-MLS method, so 2 million images were used for the training model.
DOI: 10.57702/4lcsnkdx
title: ND-MLS dataset

description: The bottle, grass, cat, and horse datasets were created for semantic segmentation tasks. The datasets contain images of 4 object types. The ND-MLS dataset was evaluated on SegNet, PspNet, and DeepLab.
DOI: 10.57702/37kc3nsp
title: Merton's Optimal Portfolio Problem under Sporadic Bankruptcy

description: The dataset used in the paper is a stock market following a geometric Brownian motion and a riskless asset continuously compounded at a constant rate. The stock can go bankrupt, i.e., lose all of its value, at some exogenous random time modeled as the first arrival time of a homogeneous Poisson process.
DOI: 10.57702/s5cgmmjj
title: Neural Network Surrogate Models for Absorptivity and Emissivity Spectra of Multiple Elements

description: The dataset used to train the DJINN models consists of the randomly sampled values used to generate the absorptivity spectra and emissivity spectra as inputs as well as the z-numbers of the elements.
DOI: 10.25612/837.qw55v7a68wvq
title: National Housing Preservation Database - LIHTC Properties in Opportunity Areas Covered by the Houston Housing Authority

description: Data from the National Housing Preservation Database (NHPD) for LIHTC properties in opportunity areas covered by the Houston Housing Authority (HHA).
DOI: 10.57702/hdoucw6u
title: FiGCLIP: Fine-Grained CLIP Adaptation via Densely Annotated Videos

description: Fine-grained adaptation of the popular CLIP model across multiple datasets.
DOI: 10.57702/sletfjfq
title: Visual Semantic Role Labeling for Video Understanding

description: Visual Semantic Role Labeling for Video Understanding.
DOI: 10.57702/q9rrdq2g
title: MSR-VTT: A Large Video Description Dataset for Bridging Video and Language

description: A Large Video Description Dataset for Bridging Video and Language.
DOI: 10.57702/jtuxnt5m
title: The kinetics human action video dataset

description: The kinetics human action video dataset.
DOI: 10.57702/pxdwqv15
title: When and why Vision-Language Models behave like Bags-of-Words, and what to do about it?

description: When and why Vision-Language Models behave like Bags-of-Words, and what to do about it?
DOI: 10.6084/m9.figshare.27948354
title: Genetic basis of non-photochemical quenching and photosystem II efficiency responses to chilling in the biomass crop Miscanthus

description: 209 genotypes of Miscanthus sacchariflorus, identifying significant variations in NPQ and ΦPSII traits under warm and chilling conditions in 3 growing seasons 2017, 2019 and 2020
DOI: 10.57702/022x6mn6
title: GuideMe: A Mobile Application based on Global Positioning System and Object Recognition

description: A mobile application that helps users find the appropriate doaas for a given holy place in an easy and intuitive manner.
DOI: 10.57702/ajetb75u
title: SST-1

description: The dataset used for sentiment analysis, question type classification, and subjectivity classification tasks.
DOI: 10.57702/u4959qil
title: SUBJ

description: The dataset used for sentiment analysis, question type classification, and subjectivity classification tasks.
DOI: 10.57702/tqvhiqmb
title: YELP13

description: The dataset used for sentiment analysis, question type classification, and subjectivity classification tasks.
DOI: 10.57702/qt51oigx
title: SUN2012 Dataset

description: The SUN2012 dataset is a challenging dataset for object detection, with large cluttered scenes and small objects.
DOI: 10.57702/69tsq8n4
title: PASCAL VOC10 Dataset

description: The PASCAL VOC10 dataset is a dataset for object detection, with 20 classes and a large number of images.
DOI: 10.57702/wuo6344b
title: Convnet-benchmarks

description: The dataset used in this paper is a benchmark suite for Convolutional Neural Networks.
DOI: 10.57702/vcflz9ek
title: PROSTATEx challenge dataset

description: The PROSTATEx challenge dataset is used for prostate cancer triage. It contains 204 patients diagnosed with PCa and 330 lesions. Lesions were annotated by experienced radiologists and assigned a PI-RADS score.
DOI: 10.57702/e4klkgpb
title: Lesion masks dataset

description: The lesion masks dataset is used for prostate cancer segmentation. It contains 299 lesions annotated by two residents and two experienced board-certified radiologists.
DOI: 10.57702/25ezzwbt
title: MOT16: A Benchmark for Multi-Object Tracking

description: MOT-Challenge datasets are a benchmark for multi-object tracking.
DOI: 10.57702/xfr6yldh
title: MOT20: A Benchmark for Multi-Object Tracking

description: MOT-Challenge datasets are a benchmark for multi-object tracking.
DOI: 10.57702/6tcinxts
title: Leveraging Learning to Rank in an Optimization Framework for Timeline Summarization

description: Leveraging learning to rank in an optimization framework for timeline summarization.
DOI: 10.57702/fvtiy8u7
title: Examining the State-of-the-Art in News Timeline Summarization

description: Examining the state-of-the-art in news timeline summarization.
DOI: 10.57702/lxp5ivej
title: MS COCO 2017

description: The dataset used in this paper is a collection of frames for video coding, with different Quantisation Parameters (QPs) and frame types.
DOI: 10.57702/mtogw1lm
title: Sleep Heart Health Study (SHHS)

description: The Sleep Heart Health Study (SHHS) dataset contains polysomnography (PSG) recordings from home-based devices with supervision from specialized technicians.
DOI: 10.57702/6ubokiap
title: Massachusetts General Hospital (MGH) Sleep

description: EEG dataset for sleep staging task
DOI: 10.57702/1pt8hoy2
title: Synthetic Commercial-Scale GCS Model

description: A synthetic commercial-scale GCS model with bimodally distributed permeability and porosity.
DOI: 10.57702/eu8p91je
title: Tubedet

description: The dataset is used for training YOLO-based object detection models. It contains images of test tubes held in racks and synthetic images created by pasting tube cap regions onto rack backgrounds.
DOI: 10.15468/dl.4fbyz9
title: Occurrence Download

description: A dataset containing 279675 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is University of Georgia Herbarium"
 ]
}

 The dataset includes 279675 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013471-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/aeri6nhy
title: ESP-ZERO: UNSUPERVISED ENHANCEMENT OF ZERO-SHOT CLASSIFICATION FOR EXTREMELY SPARSE POINT CLOUD

description: The proposed approach enhances the zero-shot classification capability on extremely sparse point clouds.
DOI: 10.57702/rd3nrble
title: PartNet

description: The PartNet dataset is a large-scale benchmark for 3D object recognition and retrieval. It consists of 527 objects composed of 2690 parts, which can be composited into a generated object through retrieval.
DOI: 10.57702/nvvdi08m
title: Implementation of a Modiﬁed U-Net for Medical Image Segmentation on Edge Devices

description: Medical image segmentation on edge devices
DOI: 10.57702/djb3cmne
title: Contextualized Sequence Likelihood

description: The authors used several question-answering datasets, including CoQA, TriviaQA, and Natural Questions.
DOI: 10.57702/pvteq3tv
title: TriviaQA

description: The TriviaQA dataset is a collection of questions sourced from Quiz League websites, with sentence-level supporting facts annotation.
DOI: 10.57702/f8a604vv
title: Natural Questions

description: The Natural Questions dataset consists of questions extracted from web queries, with each question accompanied by a corresponding Wikipedia article containing the answer.
DOI: 10.57702/1prupaas
title: SC, MIS, CA, and MC datasets

description: The dataset used in this paper is a collection of four NP-hard benchmark problems: Set Covering (SC), Maximal Independent Set (MIS), Combinatorial Auction (CA), and Maximum Cut (MC).
DOI: 10.57702/j8glcp3m
title: MIPLIB dataset

description: The dataset used in this paper is a collection of real-world instances from the Mixed-Integer Programming Library (MIPLIB).
DOI: 10.57702/dwzqz0n1
title: METER: a mobile vision transformer architecture for monocular depth estimation

description: Monocular depth estimation is a fundamental knowledge for autonomous systems that need to assess their own state and perceive the surrounding environment.
DOI: 10.57702/435v73is
title: InsPLAD: A Dataset and Benchmark for Power Line Asset Inspection in UAV Images

description: Power line maintenance and inspection are essential to avoid power supply interrup- tions, reducing its high social and financial impacts yearly. Automating power line visual inspections remains a relevant open problem for the industry due to the lack of public real-world datasets of power line components and their various defects to foster new research.
DOI: 10.57702/0vjuegfl
title: Inverse Medium Scattering Dataset

description: The dataset used in this paper for inverse medium scattering problems, consisting of scattered fields from various incident waves and inhomogeneous media.
DOI: 10.57702/lb0tsrcn
title: Tumor Dataset

description: The proposed semi-automatic tract segmentation method is tested on a dataset containing tumor cases.
DOI: 10.57702/m36enr8s
title: CLPD

description: A new license plate dataset named CLPD, which contains 1200 images from all 31 provinces in mainland China, with different vehicle types and photographing conditions.
DOI: 10.57702/yfcbyecn
title: CCPD

description: A large dataset for license plate detection and recognition, containing over 290k unique Chinese license plate images with detailed annotations.
DOI: 10.57702/w9s4884v
title: PKUData

description: A robust and efficient approach to license plate detection, containing images of license plates from various regions with different conditions.
DOI: 10.15468/dl.8dvcup
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Speothos venaticus (Lund, 1842)"
 ]
}

 The dataset includes 27 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013549-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/yj5nsvqf
title: CLIC 2019 Professional dataset

description: CLIC 2019 Professional dataset
DOI: 10.57702/a5kgl7fk
title: Kodak dataset

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors tested their model on various signal reconstruction tasks: 1D sinusoidal functions, 2D images, videos, and 3D signed distance functions (SDF).
DOI: 10.57702/i5v082vz
title: oMAP: A Deep Network for Path Finding in Grid-Like Environments

description: The proposed method generates activity maps for single as well as for multiple sources to single but also multiple targets.
DOI: 10.6084/m9.figshare.27948459
title: Data on dietary intake, C-DII and PUFA in serum of RRI children

description: Association of serum polyunsaturated fatty acids (PUFAs) and children’s dietary inflammatory index (C-DII<sup>TM</sup>) with recurrent respiratory infections in children
DOI: 10.6084/m9.figshare.27948459.v1
title: Data on dietary intake, C-DII and PUFA in serum of RRI children

description: Association of serum polyunsaturated fatty acids (PUFAs) and children’s dietary inflammatory index (C-DII<sup>TM</sup>) with recurrent respiratory infections in children
DOI: 10.57702/d12vsx2r
title: PEMSD3 and PEMSD7

description: The dataset used in the paper is a real-world trafﬁc dataset collected by California Transportation Agencies (CalTrans) Performance Measurement System (PeMS).
DOI: 10.57702/g7e42209
title: Human Action Recognition By Ultrasound Active Sensing

description: Action recognition is a key technology for many industrial applications. Methods using visual information such as images are very popular. However, privacy issues prevent widespread usage due to the inclusion of private information, such as visible faces and scene backgrounds, which are not necessary for recognizing user action. In this paper, we propose a privacy-preserving action recognition by ultrasound active sensing.
DOI: 10.57702/mvelglgm
title: Lip Reading in the Wild

description: Lip reading in the wild: A large-scale audio-visual dataset for lip reading and audio-visual speech recognition.
DOI: 10.57702/huzfnw4z
title: TOEFL Synonym Questions (State of the art)

description: TOEFL test stimuli
DOI: 10.57702/gusns5t2
title: LexTALE: A test to rapidly and efficiently assess the vocabulary size

description: LexTALE test stimuli
DOI: 10.57702/96t316ko
title: Lextale-Esp: A test to rapidly and efficiently assess the vocabulary size

description: Lextale-Esp test stimuli
DOI: 10.57702/dbx7ahwj
title: RAFIC: Retrieval-Augmented Few-shot Image Classification

description: Few-shot image classification is the task of classifying unseen images to one of N mutually exclusive classes, using only a small number of training examples for each class.
DOI: 10.57702/1i2yzixd
title: FGVC-Aircraft dataset

description: The FGVC-Aircraft dataset contains images of aircraft from 102 different aircraft model variants.
DOI: 10.57702/zlosww3d
title: Deep-R: Single-shot autofocusing of microscopy images using deep learning

description: A deep learning-based offline autofocusing framework for microscopy images
DOI: 10.57702/3i9nvd4e
title: Visual Text Question Answering (VTQA)

description: A new challenge named Visual Text Question Answering (VTQA) along with a corresponding dataset, which includes 23,781 questions based on 10,124 image-text pairs.
DOI: 10.57702/2e6r1apb
title: TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition

description: The TEMGNet framework is proposed for hand gesture recognition from sEMG signals.
DOI: 10.57702/5uxxn3jj
title: Ninapro DB2 dataset

description: The Ninapro DB2 dataset is a sparse multichannel sEMG dataset widely used to classify hand movements.
DOI: 10.57702/rhavs9ii
title: Explainable AI for AML genetic subtype classification

description: Explainable AI for AML genetic subtype classification
DOI: 10.57702/rgop7o31
title: Path of Destruction

description: The Path of Destruction method generates a large artiﬁcial dataset by iteratively destroying levels and creating a dataset of repair actions.
DOI: 10.57702/ame7vtt8
title: Houston, MUUFL and Botswana datasets

description: The Houston, MUUFL and Botswana datasets are used for hyperspectral image classification. The Houston dataset contains 15 classes with 144 spectral bands, the MUUFL dataset contains 11 classes with 72 spectral bands, and the Botswana dataset contains 14 classes with 145 spectral bands.
DOI: 10.57702/tjgdyrdz
title: Breaking NLI

description: The Breaking NLI dataset is a test set constructed by taking premises from the SNLI training set and constructing several hypotheses from them by changing at most one word within the premise.
DOI: 10.57702/o0c5eu4v
title: Open Catalyst 2020 (OC20) dataset

description: The Open Catalyst 2020 (OC20) dataset is a large-scale dataset for simulating catalyst materials.
DOI: 10.57702/5ydrl7ic
title: MD17 dataset

description: The dataset used for benchmarking machine learning force fields (MLFF) and jet tagging.
DOI: 10.57702/0g77q4gy
title: Latent Combinational Game Design

description: The dataset of k games for training latent combinational game design.
DOI: 10.57702/bjbd7uh6
title: Video Game Level Corpus (VGLC)

description: The dataset of levels from Super Mario Bros., Kid Icarus, Mega Man and Metroid.
DOI: 10.57702/8lqsnxe0
title: Dungeon Levels

description: The dataset of levels from The Legend of Zelda, DungeonGrams and a repurposed version of Metroid.
DOI: 10.57702/6xb0q0i7
title: IMAGINE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation

description: Automatic evaluations for natural language generation (NLG) conventionally rely on token-level or embedding-level comparisons with the text references. This is different from human language processing, for which visual imagination often improves comprehension.
DOI: 10.57702/tjwdqdls
title: IWSLT'14

description: The dataset is used for machine translation, text summarization, and open-ended text generation tasks.
DOI: 10.57702/2axqgqws
title: WMT'19

description: The dataset is used for machine translation, text summarization, and open-ended text generation tasks.
DOI: 10.57702/s7y19bp4
title: GigaWord

description: The dataset is used for text summarization tasks.
DOI: 10.57702/5tu7i8v7
title: Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation

description: UCF-HMDBsmall, UCF-HMDBf ull, and UCF-Olympic datasets are used for video domain adaptation.
DOI: 10.57702/u6kqrjur
title: Shuffle and Attend: Video Domain Adaptation

description: SAVA dataset is used for video domain adaptation.
DOI: 10.57702/gyscgwno
title: Spatio-temporal Contrastive Domain Adaptation for Action Recognition

description: STCDA dataset is used for action recognition.
DOI: 10.57702/jlnylfnc
title: NeRF LLFF

description: NeRF LLFF dataset is a benchmark dataset for learning implicit 3D representations and addressing different tasks such as novel-view synthesis or depth-map estimation.
DOI: 10.57702/mfn99h0t
title: WEB-IT Clinical Trial Dataset

description: The dataset used in this study was collected during the WEB-IT clinical trial. It consists of 81 cases across 30 different US hospitals that had obtained patient consent for research use.
DOI: 10.57702/7vg8vhyf
title: STS2017

description: The dataset used in the paper is a collection of documents for document semantics comparison and clustering tasks.
DOI: 10.57702/mksbanhp
title: Reuters-M7

description: The dataset used in the paper is a collection of documents for document semantics comparison and clustering tasks.
DOI: 10.57702/nxpllfqn
title: VELC: A New Variational AutoEncoder Based Model for Time Series Anomaly Detection

description: Time series anomaly detection method based on VAE with re-Encoder and latent constraint network
DOI: 10.57702/oippsyum
title: UCR Time Series Classification Archive

description: The UCR Time Series Classification Archive contains 168 datasets for time series classification.
DOI: 10.57702/n8cqroym
title: Isolation Forest

description: Isolation Forest
DOI: 10.57702/ke8f6gtb
title: Adversarial Feature Learning

description: Adversarial Feature Learning
DOI: 10.57702/92g8x8x5
title: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection

description: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection
DOI: 10.57702/ic3x7u6p
title: Twitter Hate Speech Dataset

description: A large-scale dataset of tweets, retweets, user activity history, and follower networks, comprising over 161 million tweets from more than 41 million unique users.
DOI: 10.57702/zzngb4jk
title: MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion Model

description: MonoDiffusion: A novel self-supervised monocular depth estimation framework by reformulating it as an iterative denoising process.
DOI: 10.57702/199lj01a
title: COD10K, CHAMELEON, CAMO, ISTD, kvasir-SEG

description: The dataset used for camouflaged object detection, shadow detection, and polyp segmentation tasks.
DOI: 10.57702/43kd7u11
title: CHAMELEON

description: Camouﬂaged object segmentation (COS) aims to iden-
DOI: 10.57702/0wxhwm0p
title: Directional PointNet: 3D Environmental Classification for Wearable Robotics

description: The dataset is a collection of 3D point clouds of daily terrains, including level ground, up stairs, and down stairs.
DOI: 10.57702/xzipb5y1
title: MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs

description: Multilabel conditional image generation is a challenging problem in computer vision. In this work we propose Multi-ingredient Pizza Generator (MPG), a conditional Generative Neural Network (GAN) framework for synthesizing multilabel images.
DOI: 10.57702/9zntlfxg
title: PizzaGANdata

description: How to make a pizza: Learning a compositional layer-based gan model.
DOI: 10.57702/cfbwip3d
title: HCGMNet: A HIERARCHICAL CHANGE GUIDING MAP NETWORK FOR CHANGE DETECTION

description: Very-high-resolution remote sensing (RS) image change detection (CD) has been a challenging task for its very rich spatial information and sample imbalance problem.
DOI: 10.57702/f3vz0kxc
title: LEVIR-CD

description: LEVIR-CD is a public large-scale remote sensing Building Change Detection dataset consisting of 637 VHR image patch pairs with a size of 1024 × 1024 pixels.
DOI: 10.57702/4q8lb8tn
title: Nonlinear Data generating algorithm

description: The dataset used in the paper is a non-linear data generating algorithm, where x = µ × 1 + µ² × z.
DOI: 10.57702/hs8g12rx
title: Location-Scale Laplace Distribution

description: The dataset used in the paper is a location-scale Laplace distribution, where x = θ × 1 + σz.
DOI: 10.57702/nbbhhac4
title: RIM-ONE-r3

description: Fundus image dataset for unsupervised domain adaptive segmentation
DOI: 10.57702/ly0ve4j9
title: GeneIC

description: GeneIC uses CUB-200 and Oxford-102 datasets for training and testing.