cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc111156263
title: List (persons grouped by trade/profession), KTU 4.322

description: [Text or Publication Number Note:] KTU 4.322, KTU2 4.322, KTU3 4.322, CTU 4.322, CAT 4.322 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.25825/fk2/fv25kp/zy6qpn
title: AOI-DATA-2011-Stata-AR.tab

description: :unav
DOI: 10.15468/dl.bxcj8x
title: Occurrence Download

description: A dataset containing 1565 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microtus chrotorrhinus (Miller, 1894)"
 ]
}

 The dataset includes 1565 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105215-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25825/fk2/fv25kp/bmjgjl
title: Report-2011-EN.pdf

description: :unav
DOI: 10.25549/inscriptifact-ouc111156195
title: List (persons grouped by trade/profession), KTU 4.322

description: [Text or Publication Number Note:] KTU 4.322, KTU2 4.322, KTU3 4.322, CTU 4.322, CAT 4.322 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.15468/dl.y4pnww
title: Occurrence Download

description: A dataset containing 15927 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eucalyptus robusta Sm., Clitoria ternatea L., Stipa capensis Thunb.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15927 records from 274 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0148111-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-12.2988617/2553388
title: Data for EMSL Project 60579 from December 2023
DOI: 10.15468/dl.x7uzbq
title: Occurrence Download

description: A dataset containing 48433 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Trifolium dubium Sibth.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 48433 records from 353 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018796-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-12.2988618/2553389
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988619/2553390
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988621/2553391
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988622/2553392
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988624/2553393
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988626/2553394
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988631/2553395
title: Data for EMSL Project 60579 from December 2023
DOI: 10.57702/ar8b0ec1
title: WN18RR

description: Knowledge graphs store a wealth of knowledge from the real world into structured graphs, which consist of collections of triplets, and each triplet (h, r, t) represents that head entity h is related to tail entity t through a relation type r.
DOI: 10.57702/prbiqz2r
title: FB15k-237

description: Knowledge graphs (KGs) are collections of facts. Some well-known knowledge graphs include Freebase (Bollacker et al., 2008), Word-Net (Miller, 1995), YAGO (Suchanek et al., 2007) and NELL (Mitchell et al., 2018), are proved to be effective for a variety of downstream applications, such as question answering (Ferrucci et al., 2010), information extraction (Mintz et al., 2009) and recommender systems (Zhang et al., 2016).
DOI: 10.57702/bv3fkhad
title: Zeisel dataset

description: The dataset contains single-cell RNA sequencing data from mouse cortex and hippocampus.
DOI: 10.57702/m1z7oihs
title: CBMC dataset

description: The dataset contains single-cell RNA sequencing data from cord blood mononuclear cells.
DOI: 10.57702/a7abygme
title: Street View House Numbers (SVHN)

description: The Street View House Numbers (SVHN) dataset used consist of 32x32 10,000 labelled image pool, 30,000 unlabelled pool and 26,032 testing pool.
DOI: 10.57702/65m3kq80
title: iNaturalist-2017

description: A dataset of images with annotated objects.
DOI: 10.57702/nde63znv
title: Bottle and Handgun datasets

description: The dataset used for 3D prohibited item classiﬁcation and detection in volumetric 3D CT baggage security screening.
DOI: 10.57702/8j00k3sa
title: inaturalist

description: The inaturalist species classification and detection dataset contains images of 8,142 species.
DOI: 10.57702/hq3fvlbf
title: MSU-Net: Multiscale Statistical U-Net for Real-time 3D Cardiac MRI Video Segmentation

description: Cardiac magnetic resonance imaging (MRI) videos are expected to be segmented on-the-ﬂy in real practice. However, existing segmentation methods would suﬀer from drastic accuracy loss when modified for speedup.
DOI: 10.57702/3pu5am3p
title: HPatches dataset

description: The HPatches dataset evaluates the mAP in three different tasks: patch verification, image matching and patch retrieval.
DOI: 10.57702/0yupkj2s
title: CIFAR10, CIFAR100, ImageNet

description: MobileNets, MnasNets, EfﬁcientNets, and ResNets
DOI: 10.57702/gph7z8yv
title: Cars Overhead With Context (COWC) dataset

description: The dataset used in the paper is the Cars Overhead With Context (COWC) dataset, which contains images of cars in overhead imagery.
DOI: 10.57702/qdkgu1qg
title: Attentive fashion grammar network

description: Attentive fashion grammar network for fashion landmark detection and clothing category classification.
DOI: 10.57702/6vq2smk5
title: First Impression of Faces

description: The dataset contains over 1 million judgments of 34 trait inferences for 1,000 face images.
DOI: 10.57702/dqu0w8db
title: Food Healthiness

description: The dataset contains judgments of 149 lay and 19 expert participants of a diverse set of 172 foods.
DOI: 10.57702/813f3wov
title: Risk Perception

description: The dataset contains people’s risk perceptions of technological hazards, activities, and participant-generated risk sources.
DOI: 10.57702/d6wbik7k
title: Leadership Perception

description: The dataset contains people’s judgments of leadership effectiveness.
DOI: 10.57702/nx7no4e7
title: Humor Perception

description: The dataset contains people’s judgments of humor.
DOI: 10.57702/h6pk46nw
title: MobileDepth: Efficient Monocular Depth Prediction on Mobile Devices

description: Depth prediction is fundamental for many useful applications on computer vision and robotic systems. On mobile phones, the performance of some useful applications as augmented reality, autofocus and so on could be enhanced by accurate depth prediction.
DOI: 10.57702/5oz27vwr
title: ShapeNet, ModelNet40, ModelNet10

description: The dataset used in the paper is ShapeNet, a large-scale dataset of 3D models, and ModelNet40 and ModelNet10, which are subsets of ShapeNet.
DOI: 10.15468/dl.x5dd99
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Belize",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Roystonea dunlapiana P.H.Allen"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013585-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/smk3bpjz
title: ModelNet40, ModelNet10

description: The dataset used in the paper is ModelNet40 and ModelNet10, which are subsets of ShapeNet.
DOI: 10.15468/dl.585wvp
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Belize",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Roystonea dunlapiana P.H.Allen"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013584-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wbkf8a
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Human Observation, Specimen)",
 "Geometry POLYGON((1.91365 42.5583,0.01227 41.67508,-0.06133 39.9577,2.62514 40.27664,4.53879 42.11669,1.91365 42.5583))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (b934f398-a2df-412c-bde2-de176590bc73, 0363cbd4-f666-455e-8e86-0bbddcf51950, 1cd669d0-80ea-11de-a9d0-f1765f95f18b, cb202839-87c6-456a-821c-dc5b268a200f, 6f3ccc65-0a54-4e65-ae7e-13b92d618e7c, 730cd32c-627f-44a8-9d93-fcfb23ade969)",
 "TaxonKey is Senecio pterophorus DC."
 ]
}

 The dataset includes 127 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013589-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/5z03rcrh
title: Chinese A-share stock market data

description: The dataset used in this paper is a collection of financial time series data, including daily open price, high price, low price, close price, and trading volume.
DOI: 10.15468/dl.t7cvs8
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Puerto Rico",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 252 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013586-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/dgqpi9bt
title: Interpretable reduced-order modeling with time-scale separation

description: High-dimensional time series data generated by a complex latent dynamics
DOI: 10.57702/ivly5gjd
title: Linear ODE test case

description: Linear ODE system with two dimensions
DOI: 10.57702/rq5j0pzp
title: Google Sheets Business Line Data

description: The dataset used in this paper is a collection of business line data from Google Sheets, including To-Customer and To-Business lines.
DOI: 10.57702/rnyhvr6h
title: PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement

description: Person Search framework based on the Diffusion model, PSDiff. PSDiff formulates the person search task as a dual denoising process from noisy boxes and ReID embeddings to ground truths.
DOI: 10.57702/fxga782a
title: VGG16-D dataset

description: The VGG16-D dataset is a large dataset of images, used for training and testing neural networks.
DOI: 10.57702/cm2do1mg
title: FLIR, MFNet, COME15K, MCXFace

description: Cross-modal datasets with text descriptions for cross-modal image generation under various layout conditions.
DOI: 10.57702/994hqz21
title: HE-Staining Variation (HEV) dataset

description: HE-Staining Variation (HEV) dataset is used to train and evaluate the proposed stain normalization method.
DOI: 10.57702/tqng90dx
title: StainNet dataset

description: StainNet dataset is used to evaluate the StainNet model.
DOI: 10.15468/dl.yafvjs
title: Occurrence Download

description: A dataset containing 18025 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Microtus longicaudus (Merriam, 1888)"
 ]
}

 The dataset includes 18025 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013588-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/beuvbl8p
title: Affective Behaviour Analysis Using Pretrained Model with Facial Prior

description: Affective behavior analysis has aroused researchers’ attention due to its broad applications. However, it is labor exhaustive to obtain accurate annotations for massive face images.
DOI: 10.57702/vv829zrd
title: ABAW4

description: The ABAW4 challenge includes two sub-challenges, i.e., the multi-task learning (MTL) challenge and the learning from synthetic data (LSD) challenge.
DOI: 10.57702/00jqeiia
title: Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing

description: Crop yield forecasting plays a significant role in addressing growing concerns about food security and guiding decision-making for policymakers and farmers. The dataset is used for crop yield prediction, specifically for soybean, wheat, and rapeseed crops in Argentina, Uruguay, and Germany.
DOI: 10.57702/61ce3ct3
title: TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-Fidelity Virtual Try-On

description: We propose an effective and efficient framework, termed TryOn-Adapter, to tackle the issues of identity controllability and training efficiency in diffusion-based virtual try-on technology.
DOI: 10.57702/3vq9aj70
title: ILSVRC competition

description: AlexNet by Krizhevsky et al. (2012), VGG by Simonyan & Zisserman (2015), GoogleNet (Szegedy et al., 2015) and ResNet (He et al., 2015) have seen state-of-the-art classiﬁcation accuracies.
DOI: 10.57702/ahnd8rpj
title: SqueezeNet

description: SqueezeNet is a small CNN that performs well on the ImageNet data set.
DOI: 10.57702/yntbihx5
title: Cars

description: Fine-Grained Visual Classiﬁcation (FGVC) is an important computer vision prob-lem that involves small diversity within the different classes, and often requires expert annotators to collect data.
DOI: 10.57702/sx0i8niu
title: MIT dataset

description: The MIT dataset created by Severson et al. in 2019, aimed at studying the rapid charging issues of batteries.
DOI: 10.57702/it3y49jm
title: Motion-Focused Contrastive Learning of Video Representations

description: Motion-focused Contrastive Learning (MCL) method for self-supervised video representation learning.
DOI: 10.57702/64phjudb
title: Text2Shape

description: Text2Shape is a dataset of 8,447 table instances and 6,591 chair instances from the ShapeNet dataset, along with 75,344 natural language descriptions.
DOI: 10.57702/g73jg2k9
title: LADI-VTON

description: LADI-VTON: Latent diffusion textual-inversion enhanced model for virtual try-on
DOI: 10.57702/elttxmzw
title: CogVideo

description: CogVideo is a large-scale pretrained transformer for text-to-video generation. It is trained on a dataset of 5.4 million captioned videos with a spatial resolution of 160×160.
DOI: 10.57702/sb0i0mif
title: AttentionHTR: Handwritten Text Recognition

description: This work proposes an attention-based sequence-to-sequence model for handwritten word recognition and explores transfer learning for data-efficient training of HTR systems.
DOI: 10.57702/qpo6dy51
title: IAM Handwriting Database

description: The IAM handwriting database contains 1,539 handwritten forms, written by 657 authors, and the total number of words is 115,320, with a lexicon of approximately 13,500 words.
DOI: 10.57702/lr6bb6i3
title: Imgur5K Dataset

description: The Imgur5K dataset contains 8,094 images, with the handwriting of approximately 5,305 authors published on an online image-sharing and image-hosting service imgur.com.
DOI: 10.57702/5kyvhhxy
title: Office-Home, DomainNet, CUB, and iWildCAM2020

description: The dataset used in the paper is Office-Home, DomainNet, CUB, and iWildCAM2020.
DOI: 10.57702/flr2l6vf
title: US 10k Face Database

description: The US 10k Face database contains 10,168 natural human face images and 2,222 of these images are annotated with memorability scores.
DOI: 10.57702/y8h8ymq0
title: LaMem Dataset

description: The LaMem dataset is a large dataset of images with their memorability scores, consisting of 60,000 images, mostly objects, scenes, and animals.
DOI: 10.57702/ga4hm35q
title: AI2-THOR

description: The dataset used in the paper is the AI2-THOR dataset, which is a 3D indoor environment dataset. The agent must navigate from a random starting position to a pre-specified target location only via egocentric view. The dataset contains 4 different room categories: kitchens, living rooms, bedrooms, and bathrooms.
DOI: 10.57702/c0uagp5g
title: OTB100, VOT2016 and VOT2017

description: The dataset used in the paper is the OTB100, VOT2016 and VOT2017 datasets for visual tracking.
DOI: 10.57702/z6ezq2zv
title: Synthetic dataset for medical image diagnostics

description: The dataset used in this study is a synthetic dataset for medical image diagnostics. It contains 1000 normal images and 1000 anomaly images. The normal images are generated using a diffusion model, and the anomaly images are generated by adding noise to the normal images.
DOI: 10.57702/lo5vq6vj
title: 2D-3D-S dataset

description: The 2D-3D-S dataset is an indoor dataset with multiple modalities from 2D, 2.5D and 3D domains, with instance-level semantic and geometric annotations.
DOI: 10.57702/mdbokvtq
title: ModelNet40 dataset

description: The ModelNet40 dataset is a collection of 3D models, each with multiple views and annotations.
DOI: 10.57702/wgdxm9uz
title: Google Landmarks Dataset v2

description: Google Landmarks Dataset v2
DOI: 10.57702/k0f5wvha
title: Towards Streaming Egocentric Action Anticipation

description: Egocentric action anticipation is the task of predicting the future actions a camera wearer will likely perform based on past video observations.
DOI: 10.57702/l81ufd0e
title: EPIC-KITCHENS-55

description: EPIC-KITCHENS-55 is a dataset of 432 videos acquired by 32 subjects and labeled with 39,595 action segments.
DOI: 10.57702/4xsp6j9x
title: EGTEA Gaze+

description: The EGTEA Gaze+ dataset offers approximately 10,000 samples of 106 non-scripted daily activities that occur in a kitchen.
DOI: 10.57702/ctlr0ztq
title: Cooperative Sentiment Agents for Multimodal Sentiment Analysis

description: Multimodal sentiment analysis and emotion recognition tasks
DOI: 10.57702/7lrtq1tr
title: Multimodal Language Analysis in the Wild: Cmu-mosei Dataset and Interpretable Dynamic Fusion Graph

description: Multimodal sentiment analysis and emotion recognition tasks
DOI: 10.57702/5hyqrbtc
title: Iemocap: Interactive Emotional Dyadic Motion Capture Database

description: Multimodal sentiment analysis and emotion recognition tasks
DOI: 10.57702/9lms2alj
title: TCGA dataset

description: The dataset used in this paper is the TCGA dataset, which contains somatic genomic alterations (SGAs) and differentially expressed genes (DEGs) of 4,468 tumors.
DOI: 10.57702/3h5en35k
title: JMMLU: Japanese Massive Multitask Language Understanding Benchmark

description: The authors constructed the Japanese Massive Multitask Language Understanding Benchmark (JMMLU) by translating MMLU and adding tasks related to Japanese culture.
DOI: 10.57702/pdooi0k2
title: CMM Team Dataset

description: The CMM Team dataset is used for Task 1: Detect Building Blocks.
DOI: 10.57702/k9e0p67a
title: UWB Team Dataset

description: The UWB Team dataset is used for Task 3: Locate Graticule Lines Intersections.
DOI: 10.57702/ftsyb008
title: Open-Set Semi-Supervised Object Detection

description: Open-Set Semi-Supervised Object Detection aims to leverage the unconstrained unlabeled images to improve an object detector trained with the available labeled data.
DOI: 10.57702/ubrjj6ve
title: OpenImagesv5

description: OpenImagesv5: A large-scale dataset for multi-label image classification.
DOI: 10.57702/sph2i47r
title: Tall: Temporal activity localization via language query

description: Tall: Temporal activity localization via language query.
DOI: 10.57702/iy0ik73x
title: ProGAN

description: The dataset used in the paper for training and testing the proposed method for detecting, attributing and localizing GAN generated images.
DOI: 10.57702/4ddowsir
title: Spatial Attention-based Distribution Integration Network for Human Pose Estimation

description: Human pose estimation using Spatial Attention-based Distribution Integration Network (SADI-NET)
DOI: 10.57702/exjmpb1r
title: DiffusionEngine: Diffusion Model is Scalable Data Engine for Object Detection

description: DiffusionEngine is a scalable and efficient data engine for object detection that generates high-quality detection-oriented training pairs in a single stage.
DOI: 10.57702/o4kceo0o
title: COCO-DE

description: COCO-DE is a dataset for object detection that uses DiffusionEngine to generate high-quality detection-oriented training pairs.
DOI: 10.57702/s2supwvg
title: VOC-DE

description: VOC-DE is a dataset for object detection that uses DiffusionEngine to generate high-quality detection-oriented training pairs.
DOI: 10.57702/32s7445a
title: MODIS/Terra Vegetation Indices

description: The MODIS/Terra vegetation indices dataset is used to represent key features of post-wildfire recovery.
DOI: 10.57702/lcf71ovf
title: IMERG Daily Precipitation

description: The IMERG dataset is used to represent daily precipitation data.
DOI: 10.57702/4caa1t6e
title: Speech Commands

description: The Speech Commands dataset consists of 105809 one-second audio recordings of 35 spoken words sampled at 16kHz. The raw speech commands dataset presents audio recordings as a sequence of 16000 samples for speech classification.
DOI: 10.57702/tptc47la
title: Cityscapes dataset for semantic urban scene understanding

description: The Cityscapes dataset is a large-scale urban scene dataset containing over 25,000 images.
DOI: 10.57702/cf9e7oxj
title: GTA5 dataset for image-to-image translation

description: GTA5 dataset for image-to-image translation
DOI: 10.57702/5uq6vdwj
title: Google Maps dataset for image-to-image translation

description: Google Maps dataset for image-to-image translation
DOI: 10.57702/7qhpyq5n
title: DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation

description: A dataset for pancreas segmentation.
DOI: 10.57702/yqe0xwck
title: Evaluating Segmentation Error Without Ground Truth

description: A dataset for evaluating segmentation error without ground truth.
DOI: 10.57702/iuk4gta3
title: Unsupervised Performance Evaluation of Image Segmentation

description: A dataset for unsupervised performance evaluation of image segmentation.
DOI: 10.57702/psb8u5i5
title: Multi-Sensor Cities France (MSC-France)

description: A new multi-sensor dataset (MSC-France) of aerial and satellite imagery over France, with three different sensors (Sentinel-2, Landsat-8, SPOT-6) and a subset with several high-resolution pairs (SPOT-6, BDORTHO).
DOI: 10.57702/2984xddd
title: Multi-View ˆIle-de-France

description: A new multi-sensor dataset (Multi-View ˆIle-de-France) of aerial and satellite imagery over the ˆIle-de-France region, with BDORTHO and SPOT-6 images.
DOI: 10.57702/4r7bq5k7
title: Gigaword, CNN/DailyMail, and Arxiv

description: The dataset used for abstractive summarization tasks, including Gigaword, CNN/DailyMail, and Arxiv.