aracelimanzanoch / Dataset

Dataset I collected. Usually I have found these dataset in research papers.

Dataset

I have found these dataset in research papers.

Vision

Classification or Recognition or Generative

• Coil-20

  http://www.cs.columbia.edu/CAVE/software/softlib/coil-20.php

• MS COCO

  http://mscoco.org/dataset/#overview

• NVIDIA food Image classification

  https://github.com/corona10/FoodDataSet

• CIFAR-10, CIFAR-100

  https://www.cs.toronto.edu/~kriz/cifar.html

• Large-scale CelebFaces Attributes (CelebA) Dataset

  http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html

• Street View House Numbers (SVHN)

  http://ufldl.stanford.edu/housenumbers/

• MNIST

  http://yann.lecun.com/exdb/mnist/

• Facial Database

  http://www.face-rec.org/databases/

• Labeled Faces in the Wild

  http://vis-www.cs.umass.edu/lfw/#download

• Simple Vector Drawing Datasets

  https://github.com/hardmaru/sketch-rnn-datasets

• Places2 (공간 사진, 정보 데이터)

  http://places2.csail.mit.edu/download.html

• Yelp dataset (식당 정보, 사진)

  https://www.yelp.com/dataset_challenge

• DeepFashion

  http://mmlab.ie.cuhk.edu.hk/projects/DeepFashion.html

• Image to Latex (수식 이미지를 latex 코드로 만드는 데이터셋입니다.)

  https://zenodo.org/record/56198#.WTpQ73XyhPN

• NIST Dataset(Fingerprint, Mugshot, OCR)

  https://www.nist.gov/srd/nist-special-database-4

• Biometics ideal test dataset(Iris, Fingerprint, Face, palmprint, handwriting etc. - 로그인 필요!)

  http://biometrics.idealtest.org/index.jsp

• PASCAL 2012 Dataset (Classification & Detection)

  http://host.robots.ox.ac.uk/pascal/VOC/voc2012/index.html#data

• Flickr Image Dataset

  http://www.robots.ox.ac.uk/~vgg/data/oxbuildings/flickr100k.html

• Stanford dogs dataset

  http://vision.stanford.edu/aditya86/ImageNetDogs/

• CUB-200 dataset (birds)

  http://www.vision.caltech.edu/visipedia/CUB-200-2011.html

• Facial beauty score dataset

  https://github.com/HCIILAB/SCUT-FBP5500-Database-Release

• Tumblr GIF dataset

  https://www.kaggle.com/raingo/tumblr-gif-description-dataset

• Totally looks like dataset

  https://sites.google.com/view/totally-looks-like-dataset

• CAISA WebFace databaset

  http://www.cbsr.ia.ac.cn/english/CASIA-WebFace-Database.html

• Labeled Faces in the Wild Home

  http://vis-www.cs.umass.edu/lfw/

• Behance Artistic Media Dataset

  https://bam-dataset.org/#explore

• Handwriting databaset

  http://www.fki.inf.unibe.ch/databases/iam-handwriting-database

Medical

• Lung cancer dataset

  https://luna.grand-challenge.org

  https://www.kaggle.com/c/data-science-bowl-2017

• Brain tumor dataset

  http://braintumorsegmentation.org

• Breast cancer dataset (kaggle)

  https://www.kaggle.com/uciml/breast-cancer-wisconsin-data

• The cancer image archive

  http://www.cancerimagingarchive.net

• Mammograpy dataset

  http://marathon.csee.usf.edu/Mammography/Database.html

• Bio Image Dataset @ IIIT Delhi

  http://www.iab-rubric.org/resources.html

• CAMELYON 16 - metatstasis detection in lymph node

  https://camelyon16.grand-challenge.org/

• CAMELYON17 Dataset https://camelyon17.grand-challenge.org/

Video & Image Stream

• YouTube-BoundingBoxes Dataset

  https://research.google.com/youtube-bb/index.html

• Youtube-8M Dataset

  https://research.google.com/youtube8m/

• The Kinetics Human Action Video Dataset

  https://deepmind.com/research/open-source/open-source-datasets/kinetics/

• Announcing AVA: A Finely Labeled Video Dataset for Human Action Understanding

  https://research.googleblog.com/2017/10/announcing-ava-finely-labeled-video.html?m=1

• Microsoft Kinect dataset

  https://www.microsoft.com/en-us/download/details.aspx?id=52283

Text

Machine Translation

• StatMT(Machine Translation, summarization 등의 태스크를 위한 데이터셋으로 나라-나라 쌍의 데이터셋입니다.)

  http://www.statmt.org/wmt14/translation-task.html

  http://www.statmt.org/wmt15/translation-task.html

  http://www.statmt.org/wmt16/translation-task.html

  http://www.statmt.org/wmt17/translation-task.html

• UN parallel Corpus

  https://conferences.unite.un.org/UNCorpus

• IWSLT Dataset (including TED Translation)

  https://sites.google.com/site/iwsltevaluation2016/

• The Stacks Project(대수기하학 책의 원본과 latex 코드 pair set?)

  http://stacks.math.columbia.edu/

• Google sentence compression(Google에서 문장을 정형화 한 데이터입니다.)

  http://storage.googleapis.com/sentencecomp/compression-data.json

• 조선왕조실록(한글/한문 번역)

  http://sillok.history.go.kr/main/main.do

Categorical & Topic modeling

• 20 Newsgroups

  http://qwone.com/~jason/20Newsgroups/

• Reuter dataset

  https://archive.ics.uci.edu/ml/datasets/reuters-21578+text+categorization+collection

• SNLI(Stanford Natural Language Inference) dataset

  https://nlp.stanford.edu/projects/snli/

Short text

• Tweet data, a subset of TREC 2011 microblog track

  http://trec.nist.gov/data/tweets/

• Title data, including news titles with class labels from some news websites

  http://www.sogou.com/al

• Italia earthquake twitter dataset

  https://www.kaggle.com/blackecho/italy-earthquakes

Paraphrase

• Paraphrase database

  http://paraphrase.org/#/download

QA & Dialogue

• bAbI dataset (Facebook Question Answering)

  https://research.facebook.com/research/babi/

• Question/Answering(빈칸추론문제) pairs using CNN/Daily Mail articles

  https://github.com/deepmind/rc-data

• Stanford Question Answering Dataset

  https://rajpurkar.github.io/SQuAD-explorer/

• CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

  http://cs.stanford.edu/people/jcjohns/clevr/

• WikiReading dataset

  https://github.com/google-research-datasets/wiki-reading

• SEMPRE: Semantic Parsing with Execution

  https://nlp.stanford.edu/software/sempre/

• Dialogue system datasets

  https://breakend.github.io/DialogDatasets/

• WikiSQL dataset

  https://github.com/salesforce/WikiSQL

• SynthText dataset

  http://www.robots.ox.ac.uk/%7Evgg/data/scenetext/

• Cornell Movie dialogue corpus

  http://www.cs.cornell.edu/~cristian/Cornell_Movie-Dialogs_Corpus.html

Word Embedding

• Word2Vec에 쓰인 데이터셋(위키피디아, WMT11 등) https://code.google.com/archive/p/word2vec/

• Fast Text pre-trained vector set

  https://github.com/facebookresearch/fastText/blob/master/pretrained-vectors.md

Sentiment Analysis

• Stanford Sentiment Treebank(SST)

  http://nlp.stanford.edu/sentiment/

• Multi-Domain Sentiment Dataset

  http://www.cs.jhu.edu/~mdredze/datasets/sentiment/

• Visual sentiment ontology

  http://www.ee.columbia.edu/ln/dvmm/vso/download/flickr_dataset.html

• Radboud Face Database (rbfd)

  http://www.socsci.ru.nl:8180/RaFD2/RaFD?p=main

Raw text

• Common Crawl dataset

  http://commoncrawl.org/the-data/

Sound

• Nottingham music dataset

  https://www-labs.iro.umontreal.ca/~lisa/deep/data/

• A large-scale dataset of manually annotated audio events (Google research)

  https://research.google.com/audioset/

• Speech Command Dataset

  https://research.googleblog.com/2017/08/launching-speech-commands-dataset.html

• Mozilla DeepSpeech

  https://github.com/mozilla/DeepSpeech

Knowledge Base

• Freebase

  https://datahub.io/ko_KR/dataset/freebase

• Wordnet

  https://wordnet.princeton.edu/

• Microsoft Concept Graph

  https://concept.msra.cn/Home/Download

• DBPedia Dataset

  The DBpedia data set uses a large multi-domain ontology which has been derived from Wikipedia as well as localized versions of DBpedia in more than 100 languages.

  http://wiki.dbpedia.org/services-resources/datasets/dbpedia-datasets

• Yago

  YAGO3 is a huge semantic knowledge base, derived from Wikipedia WordNet and GeoNames.

  https://datahub.io/ko_KR/dataset/yago

• Google Knowledge graph API

  https://developers.google.com/knowledge-graph/

Social Networks & Recomendationdation

• AMiner - Datasets for social network Analysis

  https://cn.aminer.org/data

• Netflix Prize Data Set

  http://academictorrents.com/details/9b13183dc4d60676b773c9e2cd6de5e5542cee9a

• 논문 bibliography 데이터셋, Author Citation Networks

  https://aminer.org/citation

  http://dblp.uni-trier.de/

  https://aminer.org/citation

  http://www.cs.cornell.edu/projects/kddcup/datasets.html

• Politics sub redit

  http://snap.stanford.edu/data/politics_subreddit.tar.gz

• Amazon dataset

  http://snap.stanford.edu/data/amazon-meta.html

• Twitter Spammer network

  http://twitter.mpi-sws.org/spam/

• Twitter tweets

  http://snap.stanford.edu/data/twitter7.html

• Online reviews

  http://snap.stanford.edu/data/#reviews

• Rumor Detection dataset

  https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/BFGAVZ

• MovieLens

  https://grouplens.org/datasets/movielens/

• CiteULike

  http://www.citeulike.org/faq/data.adp

• LastFM - Music, network dataset

  https://www.upf.edu/web/mtg/lastfm360k

• Delicious Bookmarks (with other datasets)

  https://grouplens.org/datasets/hetrec-2011/

• Check-in dataset

  https://sites.google.com/site/yangdingqi/home/foursquare-dataset

• social event detection 2014 dataset

  http://mklab.iti.gr/project/sed2014

Fake news dataset

• Kaggle fake news dataset

  https://www.kaggle.com/mrisdal/fake-news

• Facebook fact check

  https://github.com/BuzzFeedNews/2016-10-facebook-fact-check

• FakeNewsNet dataset

  https://github.com/KaiDMML/FakeNewsNet

• FakeNews corpus

  https://github.com/several27/FakeNewsCorpus

• Liar dataset

  https://www.cs.ucsb.edu/~william/data/liar_dataset.zip

Pre-trained Model

• Word2Vect

  https://code.google.com/archive/p/word2vec/

• GloVe

  https://nlp.stanford.edu/projects/glove/

• FastText

  https://github.com/facebookresearch/fastText/blob/master/pretrained-vectors.md

Dataset Repo

• Havard Dataverse

  https://dataverse.harvard.edu/

국내 데이터셋

• SKT Bigdata hub

  https://www.bigdatahub.co.kr/index.do

• ETRI 말뭉치

  http://aiopen.etri.re.kr/service_corpus.php

ETC.

• Titanic survivors dataset

  https://goo.gl/P9CMFY

• Obama’s political speeches

  https://github.com/samim23/obama-rnn

• Yahoo Finance dataset

  https://finance.yahoo.com/quote/GOOG/history?ltr=1

• Linux code

  https://github.com/torvalds/linux

• NYC Taxi dataset

  http://www.nyc.gov/html/tlc/html/about/trip_record_data.shtml

• US Census dataset

  https://www.census.gov/topics/income-poverty/income/data/datasets.html