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15 Data Sets

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1. Labor Relations: From Collective Bargaining Review

2. Kinship: Relational dataset

3. Congressional Voting Records: 1984 United Stated Congressional Voting Records; Classify as Republican or Democrat

4. Student Performance: Predict student performance in secondary education (high school).

5. Autism Screening Adult: Autistic Spectrum Disorder Screening Data for Adult. This dataset is related to classification and predictive tasks.

6. wiki4HE: Survey of faculty members from two Spanish universities on teaching uses of Wikipedia

7. Sports articles for objectivity analysis: 1000 sports articles were labeled using Amazon Mechanical Turk as objective or subjective. The raw texts, extracted features, and the URLs from which the articles were retrieved are provided.

8. Drug consumption (quantified): Classify type of drug consumer by personality data

9. Insurance Company Benchmark (COIL 2000): This data set used in the CoIL 2000 Challenge contains information on customers of an insurance company. The data consists of 86 variables and includes product usage data and socio-demographic data

10. Bike Sharing Dataset: This dataset contains the hourly and daily count of rental bikes between years 2011 and 2012 in Capital bikeshare system with the corresponding weather and seasonal information.

11. Adult: Predict whether income exceeds $50K/yr based on census data. Also known as "Census Income" dataset.

12. Census Income: Predict whether income exceeds $50K/yr based on census data. Also known as "Adult" dataset.

13. IPUMS Census Database: This data set contains unweighted PUMS census data from the Los Angeles and Long Beach areas for the years 1970, 1980, and 1990.

14. Census-Income (KDD): This data set contains weighted census data extracted from the 1994 and 1995 current population surveys conducted by the U.S. Census Bureau.

15. US Census Data (1990): The USCensus1990raw data set contains a one percent sample of the Public Use Microdata Samples (PUMS) person records drawn from the full 1990 census sample.


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