A various data sets for Machine Learning, Artificial Intelligence, and Data Science. Maintained by Community: https://www.Neuromancer.kr/

• Pix2Pix

• source location: https://people.eecs.berkeley.edu/~tinghuiz/projects/pix2pix/datasets/

• 한국거래소(KRX)에서 일자별 시가총액 순위 데이터 1995-05-02~2019-04-30 (24년간), 1천만건 (CSV) https://github.com/FinanceData/marcap.git

• https://www.kaggle.com/c/aerial-cactus-identification

• cityscapes
• edges2handbags
• edges2shoes
• facades
• maps

兵庫県_全域数値地形図_ポータル（2010年度～2018年度）https://www.geospatial.jp/ckan/dataset/2010-2018-hyogo-geo-potal

refer from https://github.com/rudvlf0413/Dataset.git

• Dog Breed Identification dataset
  • The dataset is designed for multiclass classification problem as it has 120 breeds of dogs. It
  • https://www.kaggle.com/c/dog-breed-identification/data

Dataset: http://www.openslr.org/60/

• https://research.google.com/youtube8m/index.html?fbclid=IwAR3JtSscHE1npIsYNwLpJtnSN_Oym_zO6TJTMSoVPv6u6FogzjunKVisyHI
  • Google AI 에서 기존에 알려진 YouTube-8M의 일부를 확장하여, segment level의 annotation이 제공되는 데이터셋
  • 기존의 YouTube-8M에서는 비디오/프레임 level의 머신이 생성한 레이블을 제공한 반면, 이번에는 segment level의 사람이 매뉴얼로 검증한 레이블이 제공
  • 1,000개의 클래스에 대하여,
  • 237K 개의 레이블 (사람이 매뉴얼하게)
  • 하나의 비디오당 평균 5개의 segments
  • 하나의 segment당, 비디오에서 무작위로 추출된 5초 구
  • annotation 포맷은 기존의 YouTube-8M과 유사합니다. (segment의 시작과 끝, 그리고 각 segment당 레이블 정보)

• tencent-ml-images
  • https://github.com/Tencent/tencent-ml-images.git
• https://github.com/NVlabs/ffhq-dataset
• 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/
• Simple Vector Drawing Datasets
  • https://github.com/hardmaru/sketch-rnn-datasets
• Places2 (Space)
  • http://places2.csail.mit.edu/download.html
• Yelp dataset (restorance)
  • 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

• 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/

• 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/

• StatMT(Machine Translation, summarization)
  • 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

• 20 Newsgroups
  • http://qwone.com/~jason/20Newsgroups/
• Reuter dataset
  • https://archive.ics.uci.edu/ml/datasets/reuters-21578+text+categorization+collection

• 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

• 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

• 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

• Stanford Sentiment Treebank(SST)
  • http://nlp.stanford.edu/sentiment/

• 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/

• 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 l
  • 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/

• 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

• 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

• SKT Bigdata hub
  • https://www.bigdatahub.co.kr/index.do

• 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~

• Diamond.csv
• countries.csv
• exprs_GSE5859.csv
• movies.dat
• movie_lines.txt
• movie conversation
• mtcars.csv
• pollster_cleaned_2002_2008.csv
• pollster_cleaned_2010.csv
• pollster_cleaned_2012.csv
• kospi_kospi.csv