└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # Public Machine Learning Datasets 2 | 3 | A lot of people might already know about these but here is a list of well known publicly available datasets you can use to play around with, from various sources. 4 | 5 | I hope this helps you get started with your Machine Learning journey. 6 | 7 | # COVID-19 8 | Datasets related to SARS-CoV-2 and COVID-19 9 | 10 | * [COVID-19 Public Datasets - BigQuery Public Datasets Program](https://console.cloud.google.com/marketplace/details/bigquery-public-datasets/covid19-dataset-list?preview=bigquery-public-datasets) 11 | * Includes the Johns Hopkins Dataset as well as other datasets like OpenStreet Public Dataset, International Census Dataset and the Global Health Dataset from the World Bank 12 | * [COVID-19 Open Research Dataset Challenge (CORD-19)](https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge) 13 | * In response to the COVID-19 pandemic, the White House and a coalition of leading research groups have prepared the COVID-19 Open Research Dataset (CORD-19). CORD-19 is a resource of over 45,000 scholarly articles, including over 33,000 with full text, about COVID-19, SARS-CoV-2, and related coronaviruses. 14 | * [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data) 15 | * This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL). 16 | 17 | # [Registry of Open Data on AWS](https://registry.opendata.aws/) 18 | Amazon provides 101 different types of datasets, raging from terrain tiles, Bird occurences to space imagery. 19 | 20 | # [UCI Machine Learning Dataset Repository](https://archive.ics.uci.edu/ml/datasets.html) 21 | Almost 500 different datasets in many different domains (medicine, physics, finance) 22 | 23 | # [Google Dataset Search Tool](https://toolbox.google.com/datasetsearch) 24 | This is Google for Dataset search. No jokes. Literally. 25 | 26 | # [Microsoft Research Open Data](https://msropendata.com/) 27 | Of course Microsoft also has their own repository of datasets. They are broken down by domain: 28 | 29 | Biology, Physics, Social, Sciences, Information Science, Computer Science, Engineering, Healthcare, Environmental Science, Earth Science and Mathematics. 30 | 31 | # [VisualData](https://www.visualdata.io/) 32 | This is a repository focusing only on image datasets: Artwork from the MET, fashion related datasets, you can find it all 33 | 34 | # [Kaggle Datasets](http://kaggle.com/datasets) 35 | There are a lot (more than 15k) datasets available at Kaggle for you to play with. Below is a small list divided by problem category 36 | 37 | ## Binary Classification 38 | * [Indian Liver Patient Records](https://www.kaggle.com/uciml/indian-liver-patient-records) 39 | * [Synthetic Financial Data for Fraud Detection](https://www.kaggle.com/ntnu-testimon/paysim1) 40 | * [Business and Industry Reports](https://www.kaggle.com/census/business-and-industry-reports) 41 | * [Can You Predict Product Backorders?](https://www.kaggle.com/tiredgeek/predict-bo-trial) 42 | * [Exoplanet Hunting in Deep Space](https://www.kaggle.com/keplersmachines/kepler-labelled-time-series-data) 43 | * [Adult Census Income](https://www.kaggle.com/uciml/adult-census-income) 44 | 45 | ## Multiclass Classification 46 | * [Iris Species](https://www.kaggle.com/uciml/iris) 47 | * [Fall Detection Data from China](https://www.kaggle.com/pitasr/falldata) 48 | * [Biomechanical Features of Orthopedic Patients](https://www.kaggle.com/uciml/biomechanical-features-of-orthopedic-patients) 49 | 50 | ## Regression 51 | * [Video Game Sales with Ratings](https://www.kaggle.com/rush4ratio/video-game-sales-with-ratings) 52 | * [NYC Property Sales](https://www.kaggle.com/new-york-city/nyc-property-sales) 53 | * [Gas Sensor Array Under Dynamic Gas Mixtures](https://www.kaggle.com/uciml/gas-sensor-array-under-dynamic-gas-mixtures) 54 | 55 | ## NLP 56 | * [The Enron Email Dataset](https://www.kaggle.com/wcukierski/enron-email-dataset) 57 | * [Ubuntu Dialogue Corpus](https://www.kaggle.com/rtatman/ubuntu-dialogue-corpus) 58 | * [Old Newspapers: A cleaned subset of HC Corpora newspapers](https://www.kaggle.com/alvations/old-newspapers) 59 | * [Speech Accent Archive](https://www.kaggle.com/rtatman/speech-accent-archive) 60 | * [Blog Authorship Corpus](https://www.kaggle.com/rtatman/blog-authorship-corpus) 61 | 62 | ## Time Series Analysis 63 | * [Cryptocurrency Historical Prices](https://www.kaggle.com/sudalairajkumar/cryptocurrencypricehistory) 64 | * [Exoplanet Hunting in Deep Space](https://www.kaggle.com/keplersmachines/kepler-labelled-time-series-data) 65 | 66 | ## Image Processing 67 | * [YouTube Faces with Facial Keypoints](https://www.kaggle.com/selfishgene/youtube-faces-with-facial-keypoints) 68 | * [Fashion MNIST](https://www.kaggle.com/zalando-research/fashionmnist) 69 | 70 | ## Mapping and Prediction 71 | * [Seattle Police Department 911 Incident Response](https://www.kaggle.com/sohier/seattle-police-department-911-incident-response) 72 | * [Baltimore 911 Calls](https://www.kaggle.com/sohier/baltimore-911-calls) 73 | * [Crimes in Chicago](https://www.kaggle.com/currie32/crimes-in-chicago) 74 | * [Philadelphia Crime Data](https://www.kaggle.com/mchirico/philadelphiacrimedata) 75 | * [London Crime](https://www.kaggle.com/jboysen/london-crime) 76 | 77 | ## Large Datasets 78 | * [Iowa Liquor Sales](https://www.kaggle.com/residentmario/iowa-liquor-sales) 79 | * [Seattle Library Checkout Records](https://www.kaggle.com/seattle-public-library/seattle-library-checkout-records) 80 | 81 | Originally posted at: 82 | https://discuss.mltokyo.ai/t/publicly-available-machine-learning-datasets/319 83 | --------------------------------------------------------------------------------