| Adult |
1D |
32,558 |
97.8 |
Adult Census Dataset: describing the “capital loss” attribute of each person |
| HepPh |
1D |
347,414 |
21.17 |
Arxiv High Energy Physics paper citation network: describing number of citations for each paper (scale is not consistent to the source) |
| Income |
1D |
20,787,122 |
44.97 |
IPUMS USA collected census microdata: describing “personal income” attribute of person on the survey from 2001-2011 |
| Medcost |
1D |
98,415 |
74.8 |
National home and hospice care 2007 survey data: describing the personal medical expenses |
| Trace |
1D |
25,714 |
96.61 |
Bipartite connection on an IP-level network trace collected at a major university: describing the number of external connections made by each internal host |
| Patent |
1D |
27,948,226 |
6.2 |
US patent dataset (from 1/1/1963 to 12/30/1999) maintained by the National Bureau of Economic Research: describing the number of citations for each patent |
| Search |
1D |
335,889 |
51.03 |
Search query logs dataset: describing the frequency of search term “Obama” over time (from 2004 to 2010) |
| BIDS-FJ |
1D |
1,901,799 |
0 |
Kaggle competition testing dataset: describing the number of individual bids where “merchandise=jewelry” on each IP address |
| BIDS-FM |
1D |
2,126,344 |
0 |
Kaggle competition testing dataset: describing the number of individual bids where “merchandise=mobile” on each IP address |
| BIDS-ALL |
1D |
7,655,502 |
0 |
Kaggle competition testing dataset: describing the total number of individual bids on each IP address |
| MD-Sal |
1D |
135,727 |
83.12 |
Maryland salary database (2012 state employee): describing “YTD-gross-compensation” attribute |
| MD-Sal-FA |
1D |
100,534 |
83.17 |
Maryland salary database (2012 state employee): describing “YTD-gross-compensation” attribute and filtered on condition “pay-type=Annually” |
| LC-REQ-F1 |
1D |
3,737,472 |
61.57 |
Lending Club (online credit market) Statistics database on rejected loan applications: describing “Amount Requested” attribute and filtered on condition “Employment between 0 and 5” |
| LC-REQ-F2 |
1D |
198,045 |
67.69 |
Lending Club (online credit market) Statistics database on rejected loan applications: describing “Amount Requested” attribute and filtered on condition “Employment between 5 and 10 (5 not included)” |
| LC-REQ-ALL |
1D |
3,999,425 |
60.15 |
Lending Club (online credit market) Statistics database on rejected loan applications: describing “Amount Requested” attribute |
| LC-DTIR-F1 |
1D |
3,336,740 |
0 |
Lending Club (online credit market) Statistics database on rejected loan applications: describing “Debt-To-Income Ratio” attribute and filtered on condition “Employment between 0 and 5” |
| LC-DTIR-F2 |
1D |
189,827 |
11.91 |
Lending Club (online credit market) Statistics database on rejected loan applications: describing “Debt-To-Income Ratio” attribute and filtered on condition “Employment between 5 and 10 (5 not included)” |
| LC-DTIR-ALL |
1D |
3,589,119 |
0 |
Lending Club (online credit market) Statistics database on rejected loan applications: describing “Debt-To-Income Ratio” attribute |
| BJ-CABS-S |
2D |
4,268,780 |
78.17 |
GPS trajectories (by 8602 taxi cabs in Beijing during May 2009): describing the GPS location of the start point of each trajectory |
| BJ-CABS-E |
2D |
4,268,780 |
76.83 |
GPS trajectories (by 8602 taxi cabs in Beijing during May 2009): describing the GPS location of the end point of each trajectory |
| GOWALLA |
2D |
6,442,863 |
88.92 |
Checking-in datasets from Gowalla social networking website: describing the checking-in locations of users |
| ADULT-2D |
2D |
32,561 |
99.30 |
Adult Census Dataset: describing the “capital-gain” and “capital-loss” attributes of each person |
| MD-SAL-2D |
2D |
70,526 |
97.89 |
Maryland salary database (2012 state employee): describing “Annual Salary” and “Overtime earnings” attributes |
| SF-CABS-S |
2D |
464,040 |
95.04 |
San Francisco taxi cabs mobility traces dataset: describing the location of the start point of each trace |
| SF-CABS-E |
2D |
464,040 |
97.31 |
San Francisco taxi cabs mobility traces dataset: describing the location of the end point of each trace |
| LC-2D |
2D |
550,559 |
92.66 |
Lending Club (online credit market) Statistics database on rejected loan applications: describing “Funded Amount” and “Annual Income” attributes |
| STROKE |
2D |
19,435 |
79.02 |
International Stroke Trial Database: describing “Age” and “Systolic blood pressure” attributes |
| TWITTER |
2D |
189943 |
98.12 |
Twitter Location Datatset: describing tweet location in western USA |