Public Demo Datasets

A repository of publicly available datasets for testing & demonstration purposes.

• airbnb
  • New York City Airbnb Open Data
  • src: https://www.kaggle.com/dgomonov/new-york-city-airbnb-open-data
  • single-table: 49k listings, incl geo info
• airlines
  • 2015 Flight Delays and Cancellations
  • src: https://www.kaggle.com/datasets/usdot/flight-delays
  • single-table: 100k flights w/ 20 cols, incl geo info
• bank_marketing
  • Direct marketing campaigns for aPortuguese bank
  • src: https://archive.ics.uci.edu/ml/datasets/bank+marketing
  • single-table: 45k records w/ 17 cols
• baseball
  • subset of the Lahman Baseball Stats dataset
  • src: https://github.com/cdalzell/Lahman
  • 3-table: 20k players w/ 110k batting seasons and 140k fielding seasons
• berka
  • 1999 Czech Bank Dataset
  • src: https://data.world/lpetrocelli/czech-financial-dataset-real-anonymized-transactions
  • 8-table: 5k customers w/ 1m transactions
• cdnow
  • CDNOW dataset
  • src: https://www.brucehardie.com/datasets/
  • 2-table: 24k users w/ 70k transactions
• census
  • 1994 US Census dataset, aka the adult dataset
  • src: https://archive.ics.uci.edu/ml/datasets/census+income
  • single-table: 49k subjects w/ 14 cols
• creditcard_default
  • Credit Card Default
  • src: https://www.kaggle.com/datasets/uciml/default-of-credit-card-clients-dataset
  • single-table: 30k records w/ 24 cols
• creditcard_fraud
  • Credit Card Fraud Detection
  • src: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
  • single-table: 284k records w/ 31 cols, incl highly-imbalanced target
• fannie_mae
  • Fannie MAE Mortgage data used for NVIDIA blog post
  • src: https://docs.rapids.ai/datasets/mortgage-data
  • 2-table: million of loans and billions (!) of records
• firstnames_at
  • Records on given baby names in Austria from 2010-2016
  • src: https://www.data.gv.at/katalog/dataset/603066f6-0f0a-3806-b394-f14b7d2cb437
  • single-table: 534k records, incl free text column
• gleif
  • GLEIF records of business entities, and their relations to each other
  • src: https://www.gleif.org/
  • two-table: 2.2m organizations w/ 370k relations; self-referential
• grocery
  • 4y purchase records for an online grocery retailer
  • 3-table: 40k customers w/ 303k orders w/ 4.3m items
• housing_at
  • 30y of geo-encoded property transactions in Austria
  • src: self-scraped from https://www.data.gv.at/
  • single-table: 80k transactions w/ 17 cols, incl geo data
• instacart
  • Instacart Market Basket Analysis
  • src: https://www.kaggle.com/c/instacart-market-basket-analysis
  • 3-table: 200k users w/ 3.2m orders w/ 32m products
• marathon_at
  • Marathon split times for Vienna City Marathon
  • src: self-scraped from http://www.vienna-marathon.com/
  • single-table: 5k runners w/ 14 cols
• netflix
  • Netflix Prize data
  • src: https://www.kaggle.com/netflix-inc/netflix-prize-data
  • two-table: 470k users w/ 2.4m ratings
• online_shoppers
  • Online Shoppers Purchasing Intention Dataset Data Set
  • src: https://archive.ics.uci.edu/ml/datasets/Online+Shoppers+Purchasing+Intention+Dataset
  • single-table: 12k records w/ 18 cols
• physionet
  • Mortality of ICU Patients based on cardiology records
  • src: https://physionet.org/content/challenge-2012/1.0.0/
  • two-table: 12k ICU patients w/ 37 cols across 48 hours
• porto
  • Porto Taxi dataset
  • src: https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i/
  • two-table: 100k trips w/ 4.8m geo positions
  • pull data from cloud bucket for full dataset of 1.7m trips
• sacred
  • bible verses
  • src: https://github.com/JohnCoene/sacred
  • single-table: 31k verses w/ free text column (avg 120 chars, max 500 chars)
• titanic
  • Titanic Passenger Data, incl Surival
  • src: https://www.kaggle.com/c/titanic/data
  • single-table: 1309 records w/ 8 cols