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13 Data Sets

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

2. Facebook Large Page-Page Network: This webgraph is a page-page graph of verified Facebook sites. Nodes represent official Facebook pages while the links are mutual likes between sites.

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

4. Nursery: Nursery Database was derived from a hierarchical decision model originally developed to rank applications for nursery schools.

5. GitHub MUSAE: A social network of GitHub users with user-level attributes, connectivity data and a binary target variable.

6. LastFM Asia Social Network: A social network of LastFM users from Asian countries. The related task is predicting the country of origin based on social relations and artists liked.

7. LastFM Asia Social Network: A social network of LastFM users which was collected from the public API in March 2020.

8. 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.

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

10. Wisesight Sentiment Corpus: Social media messages in Thai language with sentiment label (positive, neutral, negative, question).

11. Multimodal Damage Identification for Humanitarian Computing: 5879 captioned images (image and text) from social media related to damage during natural disasters/wars, and belong to 6 classes: Fires, Floods, Natural landscape, Infrastructural, Human, Non-damage.

12. Twitter Data set for Arabic Sentiment Analysis: This problem of Sentiment Analysis (SA) has been studied well on the English language but not Arabic one. Two main approaches have been devised: corpus-based and lexicon-based.

13. Gender by Name: This dataset attributes first names to genders, giving counts and probabilities. It combines open-source government data from the US, UK, Canada, and Australia.


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