cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/80jk4f4b
title: MEREQ: Sample-Efficient Alignment from Human Intervention

description: Aligning robot behavior with human preferences is crucial for deploying embodied AI agents in human-centered environments. A promising solution is interactive imitation learning from human intervention, where a human expert observes the policy’s execution and provides interventions as feedback. How-ever, existing methods often fail to utilize the prior policy efficiently to facilitate learning, thus hindering sample efficiency. In this work, we introduce MEREQ (Maximum-Entropy Residual-Q Inverse Reinforcement Learning)1, designed for sample-efficient alignment from human intervention.
DOI: 10.57702/q0c4nfda
title: LANA: Latency Aware Network Acceleration

description: The dataset used in the paper is a large pool of diverse candidate operations, including inverted residual blocks, dense convolution blocks, and transformer variations.
DOI: 10.57702/2v77es34
title: TED Speech Summarization Corpus

description: Speech summarization, which generates a text summary from speech, can be achieved by combining automatic speech recognition (ASR) and text summarization (TS).
DOI: 10.57702/pj62od6c
title: How2 Dataset

description: The How2 dataset consists of summarizations of How2 videos taken from YouTube.
DOI: 10.57702/ekau2ny0
title: TEDLIUM Corpus

description: The TEDLIUM corpus is a large-volume corpus used for speech recognition and text summarization.
DOI: 10.57702/0jd85ld9
title: PowerLinear Activation Functions with application to the ﬁrst layer of CNNs

description: Convolutional neural networks (CNNs) have become the state-of-the-art tool for dealing with unsolved problems in computer vision and image processing.
DOI: 10.15468/dl.4w676m
title: Occurrence Download

description: A dataset containing 255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Liljeborgiidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 255 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036991-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/7fiqr5p8
title: DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks

description: The proposed DualConv is used to replace the standard convolution in VGG-16 and ResNet-50 to perform image classification experiments on CIFAR-10, CIFAR-100, and ImageNet datasets.
DOI: 10.57702/osnpy5o3
title: MotionDiﬀuse: Text-Driven Human Motion Generation with Diﬀusion Model

description: Human motion modeling is important for many modern graphics applications, which typically require professional skills. In order to remove the skill barriers for laymen, recent motion generation methods can directly generate human motions conditioned on natural language.
DOI: 10.57702/1zccmm8f
title: KIT

description: Human motion modeling is a critical component of animating virtual characters to imitate vivid and rich human movements, which has been a vital topic for many applications, such as film-making, game development, and virtual YouTuber animation.
DOI: 10.57702/z11vxqr8
title: UESTC

description: Human motion modeling is a critical component of animating virtual characters to imitate vivid and rich human movements, which has been a vital topic for many applications, such as film-making, game development, and virtual YouTuber animation.
DOI: 10.57702/9k0l3wve
title: Partner for Kids (PFK) claims data

description: The claims data, containing medical codes, services information, and incurred expenditure, can be a good resource for estimating an individual’s health condition and medical risk level.
DOI: 10.57702/8pz67sbc
title: GAN Training Data

description: The dataset used for training the Generative Adversarial Networks (GANs) for Super Mario Bros. and The Legend of Zelda.
DOI: 10.57702/vqpdt6h9
title: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery

description: A two-level hierarchical multi-agent reinforcement learning algorithm with unsupervised skill discovery for fully cooperative multi-agent settings.
DOI: 10.57702/9vosbfo9
title: NinaPro DB5

description: The dataset used in this paper for sEMG gesture recognition with a simple model of attention.
DOI: 10.57702/mrc07c0p
title: Temporal Data Processing

description: The dataset used in the paper is a temporal data processing dataset, which is processed by quantum-classical adaptive gating mechanisms.
DOI: 10.57702/2r8qswyx
title: Places: A 10 Million Image Database for Scene Recognition

description: This paper proposes a large-scale dataset for scene recognition.
DOI: 10.57702/84k4zggj
title: Training transitive and commutative multimodal transformers with LoReTTa

description: Training transitive and commutative multimodal transformers with LoReTTa
DOI: 10.57702/i34gc2rq
title: MUGEN-GAME

description: MUGEN-GAME: A large-scale and multimodal dataset for video-audio-text multimodal understanding and generation
DOI: 10.57702/xxux3d2l
title: Colors in Context (CIC) task

description: The CIC dataset is a referential communication task where a director identifies a target color patch to a matcher. The dataset is used to analyze the communication trade-offs between initial presentation and subsequent follow-up as a function of user clarification strategy.
DOI: 10.57702/vc5q8fmc
title: The Arcade Learning Environment

description: The Arcade Learning Environment
DOI: 10.57702/52lfmffh
title: PE-VITON

description: A Two-stage Personalized Virtual Try-on Framework with Shape Control and Texture Guidance
DOI: 10.57702/m1lc4xwx
title: DeepFashion Multimodal dataset

description: DeepFashion Multimodal dataset contains 12701 full-body images in 24 categories
DOI: 10.57702/uehx8s5t
title: Instant-NGP dataset

description: The Instant-NGP dataset is a dataset for instant neural graphics primitives, consisting of 8 scenes with varying complexity.
DOI: 10.57702/a1ohrapl
title: Gplus

description: Matrix factorization (MF) and Autoencoder (AE) are among the most successful approaches of unsupervised learning.
DOI: 10.57702/vk7nl0f2
title: ImageNet trained PyTorch models under various simple image transformations

description: ImageNet trained PyTorch models are evaluated under various simple image transformations.
DOI: 10.57702/ehtup9of
title: Future Semantic Segmentation Dataset

description: The dataset used in the paper for future semantic segmentation prediction.
DOI: 10.57702/jexegig8
title: NIH-AAPM-Mayo Clinic Low-Dose CT Grand Challenge dataset

description: Sparse-view computed tomography (CT) can be used to reduce radiation dose greatly but is suffers from severe image artifacts.
DOI: 10.57702/l71aky5u
title: BiRoDiff: Diffusion policies for bipedal robot locomotion on unseen terrains

description: Offline dataset for training a diffusion policy controller for bipedal robot locomotion on multiple terrains.
DOI: 10.57702/p28wp5ze
title: PanoVOS

description: A panoramic video object segmentation dataset, providing 150 videos with high video resolutions and diverse motions.
DOI: 10.57702/gvi2mc6f
title: Multiscale-NeRF

description: The dataset used in the paper for training and testing the Mip-NeRF model.
DOI: 10.57702/x5wrq27t
title: GTA

description: The GTA dataset consists of 24966 synthetic images synthetically generated from a video game consisting of outdoor scenes with rich variety of variations in lighting and trafﬁc scenes.
DOI: 10.57702/ra12ryv5
title: Partners for Kids (PFK) Medical Claims Dataset

description: Medical claims data for over 300,000 members from Partners for Kids (PFK) between 2014 to 2016.
DOI: 10.15468/dl.rmfuk6
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Circus macrourus (S.G.Gmelin, 1770)"
 ]
}

 The dataset includes 31 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036993-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/n5juwcha
title: TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks

description: Automatic surgical phase recognition is a challenging and crucial task with the potential to improve patient safety and become an integral part of intra-operative decision-support systems.
DOI: 10.57702/j7hwzqgy
title: Cholec51

description: Automatic surgical phase recognition is a challenging and crucial task with the potential to improve patient safety and become an integral part of intra-operative decision-support systems.
DOI: 10.15468/dl.7ap6cn
title: Occurrence Download

description: A dataset containing 1349 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oedicerotidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1349 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036992-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/kefxnbm8
title: ImageNet1K and ImageNet21K for image classification, and MS COCO for object detection

description: The dataset used in the paper is ImageNet1K and ImageNet21K for image classification, and MS COCO for object detection.
DOI: 10.57702/qv8r7dna
title: Kinetics400 dataset for action recognition

description: The dataset used in the paper is Kinetics400 for action recognition.
DOI: 10.57702/mnminx7a
title: MuZhi medical dialogue dataset

description: The MuZhi medical dialogue dataset contains 66 symptoms associated with 4 diseases: children’s bronchitis, children’s functional dyspepsia, infantile diarrhea infection, and upper respiratory infection.
DOI: 10.57702/9qa22zd1
title: Human Phenotype Ontology (HPO)

description: The Human Phenotype Ontology (HPO) provides a standardized vocabulary for phenotypic abnormalities associated with human diseases.
DOI: 10.57702/cnzg7sgm
title: CIFAR-10, CIFAR-100, and ILSVRC-12

description: The dataset used in the paper is CIFAR-10 and CIFAR-100, and ILSVRC-12.
DOI: 10.57702/sf7kv160
title: HeiChole

description: The HeiChole dataset is a large dataset of laparoscopic cholecystectomy videos annotated with surgical phases and tool presence labels.
DOI: 10.57702/e98mak7o
title: ASM-LOC

description: Action-aware segment modeling for weakly-supervised temporal action localization dataset
DOI: 10.57702/gj6er8jd
title: TAO

description: Large-scale benchmark for tracking any object dataset
DOI: 10.57702/xfylyfob
title: RareAct

description: Video dataset of unusual interactions dataset
DOI: 10.57702/7wkoq770
title: ISIC 2017 dataset

description: The ISIC 2017 dataset is a collection of images of skin lesions, with annotations for segmentation.
DOI: 10.57702/6jz9mjgj
title: SegPC challenge dataset

description: Multiple myeloma segmentation dataset
DOI: 10.34683/sr2924
title: StoneRounds Case: SR2924
title: Best Disease

description: StoneRounds Case SR2924 was diagnosed with Best Disease likely caused by mutations in the gene: BEST1.
DOI: 10.57702/fw6uhvq4
title: Quarterly GDP growth dataset

description: The dataset used in the paper is the quarterly GDP growth dataset, which contains 302 observations.
DOI: 10.57702/7wpd3r0e
title: Multimodal C4 (mmc4)

description: Multimodal C4 (mmc4) is a public, billion-scale corpus of images and text, constructed from public webpages contained in the cleaned English c4 corpus.
DOI: 10.57702/8df5ubns
title: RECAP: Principled Recaptioning Improves Image Generation

description: A text-to-image diffusion model trained on a recaptioned dataset to improve image generation quality and semantic alignment.
DOI: 10.57702/hmfrn01p
title: TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation

description: A set of metrics for evaluating text-to-image synthesis.
DOI: 10.57702/6letqwaq
title: Land Cover Classification Dataset

description: The dataset contains twelve land cover types, namely, Fallow land, Built-up-area, Dense Vegetation, Fenugreek, Fodder, Gram, Mustard, Oat, Pea, Sparse Vegetation, Spinach and Wheat.
DOI: 10.57702/o7wxa1ub
title: Anatomical Tracings of Lesions After Stroke (ATLAS)

description: The Anatomical Tracings of Lesions After Stroke (ATLAS) dataset is a collection of 229 T1-weighted normalized 3D MR images with diverse lesions manually segmented by specialists.
DOI: 10.57702/t6df8b0x
title: AttrFont-ENG

description: A font dataset consisting of 148 attribute-labeled fonts and 968 attribute-unlabeled fonts.
DOI: 10.57702/24ilonwq
title: Deep learning-based multi-omics data integration

description: The dataset is used for deep learning-based multi-omics data integration.
DOI: 10.57702/1h4dvnmt
title: DeepProg

description: The dataset is used for prognosis prediction using multi-omics data.
DOI: 10.57702/rwqqohkj
title: Evaluation of colorectal cancer subtypes and cell lines

description: The dataset is used for evaluation of colorectal cancer subtypes and cell lines.
DOI: 10.57702/jxm16ldg
title: Multi-omics and deep learning provide a multifaceted view of cancer

description: The dataset is used for multi-omics and deep learning analysis.
DOI: 10.57702/fwh7k7ph
title: Mujadia et al. dataset

description: Manually annotated dataset for coreference resolution in Hindi.
DOI: 10.57702/7ja3ggbt
title: RLED

description: A paired real-world dataset comprising high-quality pixel-aligned GTs for low-light events.
DOI: 10.57702/mbyw8qyh
title: Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training

description: Generating images from graph-structured inputs, such as scene graphs, is uniquely challenging due to the difficulty of aligning nodes and connections in graphs with objects and their relations in images.
DOI: 10.57702/6i4wqab6
title: Image Generation from Scene Graphs

description: Image generation from scene graphs is a task in computer vision that requires generating images from graph-structured inputs, such as scene graphs.
DOI: 10.6084/m9.figshare.26332366
title: Data and scripts of "A straightforward workflow to explore species diversity using the Patagonian lizards of the <i>Diplolaemus </i>genus (Iguania: Leiosauridae) as a study case, with the description of a new species" by Juan Vrdoljak, Kevin Imanol Sánchez, Andrea González-Marín, Mariana Morando and Luciano Javier Avila.

description: The file “genetic analyses.zip” corresponds to the data and analyses for step 1, 2 and 4, and the gene flow analyses from step 3.<br>Details:- data/ includes all data matrices- AIM/ includes the .xml that specifies the analysis parameters to run in Beast- bpp/ and ibpp/ includes the controlfile with the analysis specifications and all outputs.- IQtree/ includes the analysis specifications for each fragment in the .log file and treefiles/ includes the MV trees.<br>The file “morpho.rar” corresponds to the data and R scripts analyses for the step 3<br>Details:<br>-images/ includes photographs taken for geometric morphometrics-linear morph/ data for linear morphometrics-Rdata/ saved analysis results in R-tables geom/ data for geometric morphometrics-script
DOI: 10.57702/siiiwh76
title: Tejani et al. dataset

description: The dataset contains six object sequences with multiple instances of the same object with different levels of occlusion.
DOI: 10.57702/ubzsfze6
title: BraTS 2021 dataset

description: The Brain Tumor Segmentation (BraTS) Challenge 2021 dataset, which provides a valuable resource for addressing challenges specific to resource-limited settings, particularly the African population and facilitating the development of effective and more generalizable segmentation algorithms.
DOI: 10.57702/tmkbypkg
title: Synthia

description: The Synthia dataset is a large-scale urban scene understanding dataset, containing 9000 samples. It is used for semantic segmentation tasks.
DOI: 10.57702/kwceulgd
title: NREL 5 MW WT system

description: The NREL 5 MW WT system is a nonlinear model of a wind turbine system. The model is used for controller synthesis and testing of the Model Reference Control (MRC) approach.
DOI: 10.57702/n1or5w7m
title: Contrastive Visual-Linguistic Pretraining

description: Contrastive Visual-Linguistic Pretraining (CVLP) is a novel approach to visual-linguistic pretraining that solves the domain bias and noisy label problems encountered with previous visual-linguistic pretraining approaches such as LXMERT and ViLBERT.
DOI: 10.57702/qb9xptuf
title: DreamVideo: Composing Your Dream Videos with Customized Subject and Motion

description: Customized generation using diffusion models has made impressive progress in image generation, but remains un-satisfactory in the challenging video generation task, as it requires the controllability of both subjects and motions.
DOI: 10.15468/dl.7yhw8s
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tryphosidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 139 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036994-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/wbxz28yv
title: Mix-of-Show: Decentralized low-rank adaptation for multi-concept customization of diffusion models

description: Mix-of-Show: Decentralized low-rank adaptation for multi-concept customization of diffusion models.
DOI: 10.57702/r7z9xuor
title: ControlVideo: Training-free controllable text-to-video generation

description: ControlVideo: Training-free controllable text-to-video generation.
DOI: 10.57702/d05qgpia
title: Local Graph Clustering with Noisy Labels

description: The authors propose a study of local graph clustering using noisy node labels as a proxy for additional node information.
DOI: 10.57702/uovka6ne
title: Coauthor Physics

description: The Coauthor Physics dataset is a co-authorship graph extracted from the Microsoft Academic Graph, with a focus on Physics research.
DOI: 10.57702/gca9wl8y
title: Multi-Atlas Labelling Challenge (MALC)

description: The dataset used for the challenging task of volumetric whole brain segmentation.
DOI: 10.57702/n4rnzal5
title: Hippocampus (HC) Segmentation dataset

description: The dataset used for the challenging task of volumetric whole brain segmentation.
DOI: 10.57702/t7dahzl1
title: HEckTOR 2021 challenge dataset

description: The HEckTOR 2021 challenge dataset was utilized in the experiment. This dataset comprised of 224 cases (167 male cases and 57 female cases) sourced from five centers at Canada and France. The average age of the subjects in the dataset was 62.7 years old. Each case included a 3D [18F]F-FDG PET volume and a 3D CT volume focusing on the head and neck region.
DOI: 10.23729/c1d77f28-a1d1-4b17-be32-7d69bbc22d74
title: 2025_Kou_Cellulose

description: This directory contains data and files associated with the publication

Zhennan Kou, Dmitry Tolmachev, Maisa Vuorte & Maria Sammalkorpi, "Component size dependent lignin-carbohydrate complex adsorption at crystalline cellulose surfaces.", Cellulose (2025).


https://doi.org/10.1007/s10570-024-06329-2

Please cite the above publication when using this data set!

This work was a part of the Academy of Finland’s Flagship Programme under Projects No. 318890 and 318891 (Competence Center forMaterials Bioeconomy, FinnCERES). The work was also supported by the Academy of Finland through its Centres of Excellence Programme (2022-2029, LIBER) under project nos. 346111 and 364205 (M.S.), Academy of Finland via project no. 359180 (M.S.) and Kaute Foundation (Z.K.).
DOI: 10.57702/ay09boiu
title: Udacity Dataset

description: The Udacity dataset has images recorded while driving on highways and residential roads (with and without lane markings) in clear weather during daytime.
DOI: 10.57702/0u3b9u0b
title: Neounet: Towards accurate colon in Ad-polyp segmentation and neoplasm detection

description: Neounet: Towards accurate colon in Ad-polyp segmentation and neoplasm detection.
DOI: 10.57702/j3jnnxg1
title: Memory Colors Dataset

description: Two benchmark sets for measuring the extent to which language-and-vision language models use the visual signal in the presence or absence of stereotypes.
DOI: 10.57702/1a65pna5
title: Gender Stereotypes Dataset

description: A dataset for measuring the extent to which language-and-vision language models use the visual signal in the presence or absence of gender stereotypes.
DOI: 10.57702/m1ka5by7
title: From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting

description: Time series forecasting using spectrograms and vision transformers
DOI: 10.57702/n7ce1wdh
title: Extended Vehicle Energy Dataset (eVED)

description: The eVED dataset is an extended and enriched version of the Vehicle Energy Dataset (VED), with accurate vehicle trip GPS coordinates and external information such as road speed limit and intersections.
DOI: 10.57702/jf2n4avs
title: Vehicle Energy Dataset (VED)

description: The Vehicle Energy Dataset (VED) is a large-scale dataset for vehicle energy consumption analysis.
DOI: 10.57702/1oqrwqoj
title: Duke SD-OCT Dataset

description: The Duke SD-OCT dataset contains 38,400 annotated B-scans of 259 iAMD patients and 115 healthy subjects.
DOI: 10.57702/4v7170o5
title: Multi-scale Bottleneck Transformer for Weakly Supervised Multimodal Violence Detection

description: Weakly supervised multimodal violence detection aims to learn a violence detection model by leveraging multiple modalities such as RGB, optical flow, and audio, while only video-level annotations are available. In the pursuit of effective multimodal violence detection (MVD), information redundancy, modality imbalance, and modality asynchrony are identified as three key challenges.
DOI: 10.57702/qqerdbt3
title: Hedging Cryptocurrency options

description: The dataset contains Bitcoin price history from April 2019 to June 2020, with daily returns, volatility, and jump sizes.
DOI: 10.57702/slun163p
title: Realistic Through-Wall (RTW) dataset

description: Realistic Through-Wall (RTW) dataset, which comprises synchronized raw radar ADC data, RGB images, and coordinate labels for the targets.
DOI: 10.57702/7c79qyp3
title: OCSC dataset

description: The OCSC dataset contains OCT image stacks acquired by a variety of imaging vendors, where, each image is manually annotated by two manual graders/annotators.
DOI: 10.57702/680mbcta
title: OPTIMA cyst segmentation challenge (OCSC) dataset

description: The OPTIMA cyst segmentation challenge (OCSC) dataset analyzed in this work contains OCT image stacks acquired by a variety of imaging vendors.
DOI: 10.57702/yzldxuw2
title: Symbolic, Language Agnostic and Ontologically Grounded Large Language Models

description: The dataset used in the paper to demonstrate the limitations of large language models (LLMs) in capturing inferential aspects of natural language.
DOI: 10.57702/uegvr0og
title: MIMO-OFDM Channel Estimation using 2D and 3D Convolutional Neural Networks

description: The dataset used in this paper for MIMO-OFDM channel estimation using 2D and 3D Convolutional Neural Networks.
DOI: 10.57702/slcjs4h8
title: Wikipedia Corpus

description: The dataset used in the paper is a subset of the Wikipedia corpus, consisting of 7500 English Wikipedia articles belonging to one of the following categories: People, Cities, Countries, Universities, and Novels.
DOI: 10.57702/3yhfss3q
title: Mark Twain Books

description: A dataset of Mark Twain's books, used for testing the author-stylized text generation model.
DOI: 10.57702/4i4cwrxh
title: AI Wiki

description: A dataset of AI Wiki, used for testing the author-stylized text generation model.