Omkar2118/datasets huggingface dataset:
HORAE

A new dataset of annotated pages from books of hours, a type of handwritten prayer books owned and used by rich lay people in the late middle ages. The dataset was created for conducting historical research on the evolution of the religious mindset in Europe at this period since the book of hours represent one of the major sources of information thanks both to their rich illustrations and the different types of religious sources they contain. 

Source: [HORAE: an annotated dataset of books of hours](/paper/horae-an-annotated-dataset-of-books-of-hours)

Introducing paper: HORAE: an annotated dataset of books of hours
Horne 2017 Fake News Data

The **Horne 2017 Fake News Data** contains two independed news datasets:

1. Buzzfeed Political News Data:

    * News originally analyzed by Craig Silverman of Buzzfeed News in article entitled " This Analysis Shows How Viral Fake Election News Stories Outperformed Real News On Facebook."
    * BuzzFeed News used keyword search on the content analysis tool BuzzSumo to find news stories
    * Post the analysis of Buzzfeed News, the authors collect the body text and body title of all articles and use the ground truth as set by Buzzfeed as actual ground truth.
    * This data set has fewer clear restrictions on the ground truth, including opinion-based real stories and satire-based fake stories. In our study, the authors manually filter this data set down to contain only "hard" news stories and malicious fake news stories. This repository contains the whole dataset with no filtering.

2. Random Political News Data:
    * Randomly collected from three types of sources during 2016.
    * Sources ground truth determined through: Business Insider’s “Most Trusted” list and Zimdars 2016 Fake news list
    * Sources:
        - Real: Wall Street Journal, The Economist, BBC, NPR, ABC, CBS, USA Today, The Guardian, NBC, The Washington Post
        - Satire: The Onion, Huffington Post Satire, Borowitz Report, The Beaverton, Satire Wire, and Faking News
        - Fake: Ending The Fed, True Pundit, abcnews.com.co, DC Gazette, Liberty Writers News, Before its News, InfoWars, Real News Right Now

Source: [https://github.com/BenjaminDHorne/fakenewsdata1](https://github.com/BenjaminDHorne/fakenewsdata1)

Introducing paper: This Just In: Fake News Packs a Lot in Title, Uses Simpler, Repetitive Content in Text Body, More Similar to Satire than Real News
HotelRec

Publicly available dataset in the hotel domain (50M versus 0.9M) and additionally, the largest recommendation dataset in a single domain and with textual reviews (50M versus 22M).

Source: [HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset](/paper/hotelrec-a-novel-very-large-scale-hotel)

Introducing paper: HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset
Hotels-50K

The Hotels-50K dataset consists of over 1 million images from 50,000 different hotels around the world. These images come from both travel websites, as well as the TraffickCam mobile application, which allows every day travelers to submit images of their hotel room in order to help combat trafficking. The TraffickCam images are more visually similar to images from trafficking investigations than the images from travel websites.

The training dataset includes 1,027,871 images from 50,000 hotels, and 92 major hotel chains. Of the 50,000 hotels, 13,900 include user contributed images from the TraffickCam application (a total of 55,061 TraffickCam images are included in the training set).

The test dataset includes 17,954 TraffickCam images from 5,000 different hotels (as well as versions of the test images that have medium and large occlusions to replicate the occlusions seen in real world trafficking victim photographs).

Source: [Hotels-50K: A Global Hotel Recognition Dataset](/paper/hotels-50k-a-global-hotel-recognition-dataset)

Introducing paper: Hotels-50K: A Global Hotel Recognition Dataset
Houses Dataset

This dataset is used for predicting house prices from both images and textual information. It is composed of 535 sample houses from California, USA.

Source: [https://github.com/emanhamed/Houses-dataset](https://github.com/emanhamed/Houses-dataset)

Introducing paper: House price estimation from visual and textual features
House3D Environment

A rich, extensible and efficient environment that contains 45,622 human-designed 3D scenes of visually realistic houses, ranging from single-room studios to multi-storied houses, equipped with a diverse set of fully labeled 3D objects, textures and scene layouts, based on the SUNCG dataset (Song et.al.)

Source: [Building Generalizable Agents with a Realistic and Rich 3D Environment](/paper/building-generalizable-agents-with-a)

Introducing paper: Building Generalizable Agents with a Realistic and Rich 3D Environment
HouseExpo

A large-scale indoor layout dataset containing 35,357 2D floor plans including 252,550 rooms in total.

Source: [HouseExpo: A Large-scale 2D Indoor Layout Dataset for Learning-based Algorithms on Mobile Robots](/paper/houseexpo-a-large-scale-2d-indoor-layout)

Introducing paper: HouseExpo: A Large-scale 2D Indoor Layout Dataset for Learning-based Algorithms on Mobile Robots
Houses3K

**Houses3K** is a dataset of 3000 textured 3D house models. Houses3K is divided into twelve batches, each containing 50 unique house geometries. For each batch, five different textures were applied forming the sets (A, B, C, D, E).

Source: [https://github.com/darylperalta/Houses3K](https://github.com/darylperalta/Houses3K)
Image Source: [https://github.com/darylperalta/Houses3K](https://github.com/darylperalta/Houses3K)

Introducing paper: Next-Best View Policy for 3D Reconstruction
HoVer

Is a dataset for many-hop evidence extraction and fact verification. It challenges models to extract facts from several Wikipedia articles that are relevant to a claim and classify whether the claim is Supported or Not-Supported by the facts. In HoVer, the claims require evidence to be extracted from as many as four English Wikipedia articles and embody reasoning graphs of diverse shapes.

Source: [HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification](/paper/hover-a-dataset-for-many-hop-fact-extraction)

Introducing paper: HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification
HRA
Full name: Human Rights Archive Database

A verified-by-experts repository of 3050 human rights violations photographs, labelled with human rights semantic categories, comprising a list of the types of human rights abuses encountered at present. 

Source: [Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in images](/paper/exploring-object-centric-and-scene-centric)

Introducing paper: Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in images
HSD
Full name: Honda Scenes Dataset

An annotated dataset is released to enable dynamic scene classification that includes 80 hours of diverse high quality driving video data clips collected in the San Francisco Bay area. The dataset includes temporal annotations for road places, road types, weather, and road surface conditions. 

Source: [Dynamic Traffic Scene Classification with Space-Time Coherence](/paper/dynamic-traffic-scene-classification-with)

Introducing paper: Dynamic Traffic Scene Classification with Space-Time Coherence
HS-SOD
Full name: HyperSpectral Salient Object Detection Dataset

HS-SOD is a hyperspectral salient object detection dataset with a collection of 60 hyperspectral images with their respective ground-truth binary images and representative rendered colour images (sRGB).

Source: [Hyperspectral Image Dataset for Benchmarking on Salient Object Detection](/paper/hyperspectral-image-dataset-for-benchmarking)

Introducing paper: Hyperspectral Image Dataset for Benchmarking on Salient Object Detection
Human-Parts

The **Human-Parts** dataset is a dataset for human body, face and hand detection with ~15k images. It contains ~106k different annotations, with multiple annotations per image.

Source: [https://github.com/xiaojie1017/Human-Parts](https://github.com/xiaojie1017/Human-Parts)
Image Source: [https://github.com/xiaojie1017/Human-Parts](https://github.com/xiaojie1017/Human-Parts)

Introducing paper: Detector-in-Detector: Multi-Level Analysis for Human-Parts
HUMBI

A new large multiview dataset for human body expressions with natural clothing. The goal of HUMBI is to facilitate modeling view-specific appearance and geometry of gaze, face, hand, body, and garment from assorted people. 107 synchronized HD cameras are used to capture 772 distinctive subjects across gender, ethnicity, age, and physical condition. 

Source: [HUMBI: A Large Multiview Dataset of Human Body Expressions](/paper/humbi-10-human-multiview-behavioral-imaging)

Introducing paper: HUMBI: A Large Multiview Dataset of Human Body Expressions
Humicroedit

Humicroedit is a humorous headline dataset. The data consists of regular English news headlines paired with versions of the same headlines that contain simple replacement edits designed to make them funny. The authors carefully curated crowdsourced editors to create funny headlines and judges to score a to a total of 15,095 edited headlines, with five judges per headline.

Source: ["President Vows to Cut <Taxes> Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines](/paper/190600274)
Image Source: [https://arxiv.org/pdf/1906.00274v1.pdf](https://arxiv.org/pdf/1906.00274v1.pdf)

Introducing paper: "President Vows to Cut <Taxes> Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines
HurricaneEmo

**HurricaneEmo** is an emotion dataset that contains 15,000 English tweets spanning three hurricanes: Harvey, Irma, and Maria.

Source: [https://github.com/shreydesai/hurricane](https://github.com/shreydesai/hurricane)

Introducing paper: Detecting Perceived Emotions in Hurricane Disasters
HybridQA

A new large-scale question-answering dataset that requires reasoning on heterogeneous information. Each question is aligned with a Wikipedia table and multiple free-form corpora linked with the entities in the table. The questions are designed to aggregate both tabular information and text information, i.e., lack of either form would render the question unanswerable. 

Source: [HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data](/paper/hybridqa-a-dataset-of-multi-hop-question)

Introducing paper: HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
Hyperspectral City

Propose a dataset which adopts multi-channel visual input.

Source: [Hyperspectral City](https://pbdl2019.github.io/challenge/index.html)

Introducing paper: Hyperspectral City V1.0 Dataset and Benchmark
iCartoonFace

The **iCartoonFace** dataset is a large-scale dataset that can be used for two different tasks: cartoon face detection and cartoon face recognition.

Source: [https://github.com/luxiangju-PersonAI/iCartoonFace](https://github.com/luxiangju-PersonAI/iCartoonFace)
Image Source: [https://github.com/luxiangju-PersonAI/iCartoonFace](https://github.com/luxiangju-PersonAI/iCartoonFace)

Introducing paper: Cartoon Face Recognition: A Benchmark Dataset
Ice Hockey News Dataset

Ice Hockey News Dataset is a corpus of Finnish ice hockey news, edited to be suitable for training of end-to-end news generation methods, as well as demonstrate generation of text, which was judged by journalists to be relatively close to a viable product.

Source: [Template-free Data-to-Text Generation of Finnish Sports News](/paper/template-free-data-to-text-generation-of)

Introducing paper: Template-free Data-to-Text Generation of Finnish Sports News
Icentia11K

Public ECG dataset of continuous raw signals for representation learning containing 11 thousand patients and 2 billion labelled beats.

Source: [Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery](/paper/icentia11k-an-unsupervised-representation)

Introducing paper: Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery
ICLabel

An Independent components (IC) dataset containing spatiotemporal measures for over 200,000 ICs from more than 6,000 EEG recordings.

Source: [ICLabel: An automated electroencephalographic independent component classifier, dataset, and website](/paper/iclabel-an-automated-electroencephalographic)

Introducing paper: ICLabel: An automated electroencephalographic independent component classifier, dataset, and website
Icons-50

Icons-50 is a dataset for studying surface variation robustness.

Source: [Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations](/paper/benchmarking-neural-network-robustness-to)

Introducing paper: Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
ICubWorld

iCubWorld datasets are collections of images recording the visual experience of iCub while observing objects in its typical environment, a laboratory or an office. The acquisition setting is devised to allow a natural human-robot interaction, where a teacher verbally provides the label of the object of interest and shows it to the robot, by holding it in the hand; the iCub can either track the object while the teacher moves it, or take it in its hand.

Introducing paper: iCub World: Friendly Robots Help Building Good Vision Data-Sets
iFakeFaceDB

**iFakeFaceDB** is a face image dataset for the study of synthetic face manipulation detection, comprising about 87,000 synthetic face images generated by the Style-GAN model and transformed with the GANprintR approach. All images were aligned and resized to the size of 224 x 224.

Source: [https://github.com/socialabubi/iFakeFaceDB](https://github.com/socialabubi/iFakeFaceDB)
Image Source: [https://github.com/socialabubi/iFakeFaceDB](https://github.com/socialabubi/iFakeFaceDB)

Introducing paper: GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection
IgboNLP Datasets

IgboNLP is a standard machine translation benchmark dataset for Igbo. It consists of 10,000 English-Igbo human-level quality sentence pairs mostly from the news domain.

Source: [Igbo-English Machine Translation: An Evaluation Benchmark](/paper/igbo-english-machine-translation-an)

Introducing paper: Igbo-English Machine Translation: An Evaluation Benchmark
iHarmony4

**iHarmony4** is a synthesized dataset for Image Harmonization. It contains 4 sub-datasets: HCOCO, HAdobe5k, HFlickr, and Hday2night (based on COCO, Adobe5k, Flickr, day2night datasets respectively), each of which contains synthesized composite images, foreground masks of composite images and corresponding real images. 

Source: [Image_Harmonization_Datasets](https://github.com/bcmi/Image_Harmonization_Datasets)

Introducing paper: DoveNet: Deep Image Harmonization via Domain Verification
IIIT-AR-13K

IIIT-AR-13K is created by manually annotating the bounding boxes of graphical or page objects in publicly available annual reports. This dataset contains a total of 13k annotated page images with objects in five different popular categories - table, figure, natural image, logo, and signature. It is the largest manually annotated dataset for graphical object detection.

Source: [IIIT-AR-13K: A New Dataset for Graphical Object Detection in Documents](/paper/iiit-ar-13k-a-new-dataset-for-graphical)
Image Source: [http://cvit.iiit.ac.in/usodi/iiitar13k.php](http://cvit.iiit.ac.in/usodi/iiitar13k.php)

Introducing paper: IIIT-AR-13K: A New Dataset for Graphical Object Detection in Documents
IIRC
Full name: Incomplete Information Reading Comprehension

Contains more than 13K questions over paragraphs from English Wikipedia that provide only partial information to answer them, with the missing information occurring in one or more linked documents. The questions were written by crowd workers who did not have access to any of the linked documents, leading to questions that have little lexical overlap with the contexts where the answers appear. 

Source: [IIRC: A Dataset of Incomplete Information Reading Comprehension Questions](/paper/iirc-a-dataset-of-incomplete-information)

Introducing paper: IIRC: A Dataset of Incomplete Information Reading Comprehension Questions
IITB Corridor

An abnormal activity data-set for research use that contains 4,83,566 annotated frames.

Source: [Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection](/paper/multi-timescale-trajectory-prediction-for)

Introducing paper: Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection
IIW
Full name: Intrinsic Images in the Wild

Intrinsic Images in the Wild is a large scale, public dataset for intrinsic image decompositions of real-world scenes selected from the OpenSurfaces dataset. Each image is annotated with crowdsourced pairwise comparisons of material properties. 

Source: [IIW](http://opensurfaces.cs.cornell.edu/intrinsic/)
IKEA ASM

A three million frame, multi-view, furniture assembly video dataset that includes depth, atomic actions, object segmentation, and human pose. 

Source: [The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose](/paper/the-ikea-asm-dataset-understanding-people)

Introducing paper: The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose
iLur News Texts

iLur News Texts is a dataset of over 12000 news articles from iLur.am, categorized into 7 classes: sport, politics, weather, economy, accidents, art, society. The articles are split into train (2242k tokens) and test sets (425k tokens).

Source: [iLur News Texts](https://github.com/ispras-texterra/word-embeddings-eval-hy)

Introducing paper: Word Embeddings for the Armenian Language: Intrinsic and Extrinsic Evaluation
Image Caption Quality Dataset

Image Caption Quality Dataset is a dataset of crowdsourced ratings for machine-generated image captions. It contains more than 600k ratings of image-caption pairs.

Source: [https://arxiv.org/abs/1909.03396](https://arxiv.org/abs/1909.03396)

Introducing paper: Quality Estimation for Image Captions Based on Large-scale Human Evaluations
Image Editing Request Dataset

A new language-guided image editing dataset that contains a large number of real image pairs with corresponding editing instructions. 

Source: [Expressing Visual Relationships via Language](/paper/expressing-visual-relationships-via-language)

Introducing paper: Expressing Visual Relationships via Language
Image Memorability

A database of images with measured probabilities that each picture will be remembered after a single view. 

Source: [Image Memorability](http://web.mit.edu/phillipi/Public/WhatMakesAnImageMemorable/)
IMEMNET
Full name: Image-MusicEmotion-Matching-Net

The **Image-MusicEmotion-Matching-Net** (IMEMNet) dataset is a dataset for continuous emotion-based image and music matching. It has over 140K image-music pairs.

Source: [https://github.com/linkAmy/IMEMNet](https://github.com/linkAmy/IMEMNet)

Introducing paper: Emotion-Based End-to-End Matching Between Image and Music in Valence-Arousal Space
Immediacy Dataset

Consists of 10,000 images is constructed, in which all the immediacy measures and the human poses are annotated.

Source: [Multi-Task Recurrent Neural Network for Immediacy Prediction](/paper/multi-task-recurrent-neural-network-for)

Introducing paper: Multi-Task Recurrent Neural Network for Immediacy Prediction
iMoCap

A dataset that consists of 20 actions of various actors, such as tennis serves, yoga and Tai Chi. Take tennis serves as an example. The publicly available videos of some tennis players from YouTube are downloaded, and manually crop the videos roughly to obtain a set of video clips of serves for each player.

Source: [Motion Capture from Internet Videos](/paper/motion-capture-from-internet-videos)

Introducing paper: Motion Capture from Internet Videos
IMPPRES

An IMPlicature and PRESupposition diagnostic dataset (IMPPRES), consisting of >25k semiautomatically generated sentence pairs illustrating well-studied pragmatic inference types.

Source: [Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition](/paper/are-natural-language-inference-models)

Introducing paper: Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition
iNaturalist Fine-Grained Geolocation

The **iNaturalist Fine-Grained Geolocation** dataset is an extension of the iNaturalist dataset with complementary geolocation information.

Source: [https://github.com/visipedia/fg_geo](https://github.com/visipedia/fg_geo)
Image Source: [https://github.com/visipedia/fg_geo](https://github.com/visipedia/fg_geo)

Introducing paper: Geo-Aware Networks for Fine-Grained Recognition
Incidents

Contains 446,684 images annotated by humans that cover 43 incidents across a variety of scenes. 

Source: [Detecting natural disasters, damage, and incidents in the wild](/paper/detecting-natural-disasters-damage-and)

Introducing paper: Detecting natural disasters, damage, and incidents in the wild
Incremental Dialog Dataset

Simulates unanticipated user needs in the deployment stage.

Source: [Incremental Learning from Scratch for Task-Oriented Dialogue Systems](/paper/incremental-learning-from-scratch-for-task)

Introducing paper: Incremental Learning from Scratch for Task-Oriented Dialogue Systems
IndicNLP Corpus

The IndicNLP corpus is a large-scale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families.

Source: [https://arxiv.org/abs/2005.00085](https://arxiv.org/abs/2005.00085)

Introducing paper: AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages
IndoNLU Benchmark

The IndoNLU benchmark is a collection of resources for training, evaluating, and analyzing natural language understanding systems for Bahasa Indonesia. It is a joint venture from many Indonesia NLP enthusiasts from different institutions such as Gojek, Institut Teknologi Bandung, HKUST, Universitas Multimedia Nusantara, Prosa.ai, and Universitas Indonesia.

Source: [IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding](/paper/indonlu-benchmark-and-resources-for)

Introducing paper: IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding
IndoSum

The **IndoSum** dataset is a benchmark dataset for Indonesian text summarization. The dataset consists of news articles and manually constructed summaries.

Source: [https://github.com/kata-ai/indosum](https://github.com/kata-ai/indosum)

Introducing paper: IndoSum: A New Benchmark Dataset for Indonesian Text Summarization
Industrial Benchmark

A benchmark which bridges the gap between freely available, documented, and motivated artificial benchmarks and properties of real industrial problems. The resulting industrial benchmark (IB) has been made publicly available to the RL community by publishing its Java and Python code, including an OpenAI Gym wrapper, on Github. 

Source: [A Benchmark Environment Motivated by Industrial Control Problems](/paper/a-benchmark-environment-motivated-by)

Introducing paper: A Benchmark Environment Motivated by Industrial Control Problems
InfoTabS

InfoTabS comprises of human-written textual hypotheses based on premises that are tables extracted from Wikipedia info-boxes.

Source: [INFOTABS: Inference on Tables as Semi-structured Data](/paper/infotabs-inference-on-tables-as-semi)

Introducing paper: INFOTABS: Inference on Tables as Semi-structured Data
INQUISITIVE

A dataset of ~19K questions that are elicited while a person is reading through a document.

Source: [Inquisitive Question Generation for High Level Text Comprehension](/paper/inquisitive-question-generation-for-high)

Introducing paper: Inquisitive Question Generation for High Level Text Comprehension
INRIA Holidays Dataset

The Holidays dataset is a set of images which mainly contains some of the authors' personal holidays photos. The remaining ones were taken on purpose to test the robustness to various attacks: rotations, viewpoint and illumination changes, blurring, etc. The dataset includes a very large variety of scene types (natural, man-made, water and fire effects, etc) and images are in high resolution. The dataset contains 500 image groups, each of which represents a distinct scene or object. The first image of each group is the query image and the correct retrieval results are the other images of the group.

Source: [INRIA Holidays Dataset](http://lear.inrialpes.fr/~jegou/data.php#holidays)
Inspired

A new dataset of 1,001 human-human dialogs for movie recommendation with measures for successful recommendations.

Source: [INSPIRED: Toward Sociable Recommendation Dialog Systems](/paper/inspired-toward-sociable-recommendation)

Introducing paper: INSPIRED: Toward Sociable Recommendation Dialog Systems
InstaFake

Includes two datasets published for the detection of fake and automated accounts. 

Source: [Instagram Fake and Automated Account Detection](/paper/instagram-fake-and-automated-account)

Introducing paper: Instagram Fake and Automated Account Detection
INTEL-TAU

A new large dataset for illumination estimation. This dataset, called INTEL-TAU, contains 7022 images in total, which makes it the largest available high-resolution dataset for illumination estimation research. 

Source: [INTEL-TAU: A Color Constancy Dataset](/paper/intel-tau-a-color-constancy-dataset)

Introducing paper: INTEL-TAU: A Color Constancy Dataset
Interpretable STS

A dataset of sentence pairs annotated following the formalization.

Source: [Interpretable Semantic Textual Similarity: Finding and explaining differences between sentences](/paper/interpretable-semantic-textual-similarity)

Introducing paper: Interpretable Semantic Textual Similarity: Finding and explaining differences between sentences
Interview

A large-scale (105K conversations) media dialog dataset collected from news interview transcripts.

Source: [Interview: A Large-Scale Open-Source Corpus of Media Dialog](/paper/interview-a-large-scale-open-source-corpus-of)

Introducing paper: Interview: A Large-Scale Open-Source Corpus of Media Dialog
IntPhys 2019

A benchmark for visual intuitive physics reasoning.

Source: [IntPhys 2019](http://www.intphys.com/)

Introducing paper: IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning
IntrA

**IntrA** is an open-access 3D intracranial aneurysm dataset that makes the application of points-based and mesh-based classification and segmentation models available. This dataset can be used to diagnose intracranial aneurysms and to extract the neck for a clipping operation in medicine and other areas of deep learning, such as normal estimation and surface reconstruction.

103 3D models of entire brain vessels are collected by reconstructing scanned 2D MRA images of patients (the raw 2D MRA images are not published due to medical ethics).
1909 blood vessel segments are generated automatically from the complete models, including 1694 healthy vessel segments and 215 aneurysm segments for diagnosis.
116 aneurysm segments are divided and annotated manually by medical experts; the scale of each aneurysm segment is based on the need for a preoperative examination.
Geodesic distance matrices are computed and included for each annotated 3D segment, because the expression of the geodesic distance is more accurate than Euclidean distance according to the shape of vessels.

Source: [https://github.com/intra3d2019/IntrA](https://github.com/intra3d2019/IntrA)
Image Source: [https://github.com/intra3d2019/IntrA](https://github.com/intra3d2019/IntrA)

Introducing paper: IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
IP102

IP102 contains more than 75,000 images belonging to 102 categories, which exhibit a natural long-tailed distribution.

Source: [IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition](/paper/ip102-a-large-scale-benchmark-dataset-for)

Introducing paper: IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition
IPN Hand

The **IPN Hand** dataset is a benchmark video dataset with sufficient size, variation, and real-world elements able to train and evaluate deep neural networks for continuous Hand Gesture Recognition (HGR).

Source: [https://github.com/GibranBenitez/IPN-hand](https://github.com/GibranBenitez/IPN-hand)

Introducing paper: Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks
IPOD
Full name: Industrial and Professional Occupation Dataset

Comprises 192k job titles belonging to 56k LinkedIn users. 

Source: [A Large-scale Industrial and Professional Occupation Dataset](/paper/a-large-scale-industrial-and-professional)

Introducing paper: A Large-scale Industrial and Professional Occupation Dataset
IPRE

A dataset for inter-personal relationship extraction which aims to facilitate information extraction and knowledge graph construction research. In total, IPRE has over 41,000 labeled sentences for 34 types of relations, including about 9,000 sentences annotated by workers.

Source: [IPRE: a Dataset for Inter-Personal Relationship Extraction](/paper/ipre-a-dataset-for-inter-personal)

Introducing paper: IPRE: a Dataset for Inter-Personal Relationship Extraction
irc-disentanglement

This is a dataset for disentangling conversations on IRC, which is the task of identifying separate conversations in a single stream of messages. It contains disentanglement information for 77,563 messages or IRC.

Source: [https://github.com/jkkummerfeld/irc-disentanglement](https://github.com/jkkummerfeld/irc-disentanglement)
Image Source: [https://github.com/jkkummerfeld/irc-disentanglement](https://github.com/jkkummerfeld/irc-disentanglement)

Introducing paper: A Large-Scale Corpus for Conversation Disentanglement
IRS
Full name: Indoor Robotics Stereo

**IRS** is an open dataset for indoor robotics vision tasks, especially disparity and surface normal estimation. It contains totally 103,316 samples covering a wide range of indoor scenes, such as home, office, store and restaurant.

Source: [https://github.com/HKBU-HPML/IRS](https://github.com/HKBU-HPML/IRS)
Image Source: [https://github.com/HKBU-HPML/IRS](https://github.com/HKBU-HPML/IRS)

Introducing paper: IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation
IS-A

The **IS-A** dataset is a dataset of relations extracted from a medical ontology. The different entities in the ontology are related by the “is a” relation. For example, ‘acute leukemia’ is a ‘leukemia’. The dataset has 294,693 nodes with 356,541 edges between them.

Source: [https://arxiv.org/pdf/1906.05939.pdf](https://arxiv.org/pdf/1906.05939.pdf)

Introducing paper: Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors
ISBDA

Consists of user-generated aerial videos from social media with annotations of instance-level building damage masks. This provides the first benchmark for quantitative evaluation of models to assess building damage using aerial videos.

Source: [MSNet: A Multilevel Instance Segmentation Network for Natural Disaster Damage Assessment in Aerial Videos](/paper/msnet-a-multilevel-instance-segmentation)

Introducing paper: MSNet: A Multilevel Instance Segmentation Network for Natural Disaster Damage Assessment in Aerial Videos
ISIA Food-500

Includes 500 categories from the list in the Wikipedia and 399,726 images, a more comprehensive food dataset that surpasses existing popular benchmark datasets by category coverage and data volume.

Source: [ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network](/paper/isia-food-500-a-dataset-for-large-scale-food)

Introducing paper: ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network
ISR-UoL 3D Social Activity Dataset

This is a social interaction dataset between two subjects. This dataset consists of RGB and depth images, and tracked skeleton data (i.e. joints 3D coordinates and rotations) acquired by an RGB-D sensor. It includes 8 social activities: {handshake, greeting hug, help walk, help stand-up, fight, push, conversation, call attention}. Each activity was recorded in a period around 40 to 60 seconds of repetitions within the same session at a frame rate of 30 frames per second. The only exceptions are help walking (at a short distance) and help stand-up, which were recorded 4 times to the same session, regardless of the time spent on it.

Source: [ISR-UoL 3D Social Activity Dataset](https://lcas.lincoln.ac.uk/wp/research/data-sets-software/isr-uol-3d-social-activity-dataset/)
IStego100K

Contains 208,104 images with the same size of 1024*1024. Among them, 200,000 images (100,000 cover-stego image pairs) are divided as the training set and the remaining 8,104 as testing set.

Source: [IStego100K: Large-scale Image Steganalysis Dataset](/paper/istego100k-large-scale-image-steganalysis)

Introducing paper: IStego100K: Large-scale Image Steganalysis Dataset
IU ShareView

IU ShareView dataset consists of 9 sets of two 5-10 minute first-person videos. Each set contains 3-4 participants performing a variety of everyday activities (shaking hands, chatting, eating, etc.) in one of six indoor environments. 

Source: [IU ShareView](http://vision.soic.indiana.edu/firstthird-eccv2018/)

Introducing paper: Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos
IWSLT 2019

The **IWSLT 2019** dataset contains source, Machine Translated, reference and Post-Edited text, which can be used to quantify and evaluate Post-editing effort after automatic MT.

Source: [https://arxiv.org/abs/1910.06204](https://arxiv.org/abs/1910.06204)

Introducing paper: Estimating post-editing effort: a study on human judgements, task-based and reference-based metrics of MT quality
Jamendo Lyrics

Dataset for lyrics alignment and transcription evaluation. It contains 20 music pieces under CC license from the Jamendo website along with their lyrics, with:

* Manual annotations indicating the start time of each word in the audio file
* Predictions of start and end times for each word from both of the models presented in the paper

Introducing paper: End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-Character Recognition Model
JAMUL
Full name: JApanese MUlti-Length Headline Corpus

A large-scale evaluation dataset for headlines of three different lengths composed by professional editors.

Source: [A Large-Scale Multi-Length Headline Corpus for Analyzing Length-Constrained Headline Generation Model Evaluation](/paper/a-large-scale-multi-length-headline-corpus)

Introducing paper: A Large-Scale Multi-Length Headline Corpus for Analyzing Length-Constrained Headline Generation Model Evaluation
Japanese Word Similarity

This dataset contains information about Japanese word similarity including rare words. The dataset is constructed following the Stanford Rare Word Similarity Dataset. 10 annotators annotated word pairs with 11 levels of similarity.

Source: [https://github.com/tmu-nlp/JapaneseWordSimilarityDataset](https://github.com/tmu-nlp/JapaneseWordSimilarityDataset)

Introducing paper: Construction of a Japanese Word Similarity Dataset