Data Wrangling

This dataset is part of the Data Wrangling Dataset Repository created by the DMiP Team (UPV). The term "data wrangling" usually refers to a great deal of repetitive and very time-consuming data preparation tasks, such as the acquisition, integration, manipulation, cleansing, enriching, and transformation of data. All the datasets include six examples of one particular problem, with an input and the expected output.

The datasets cover various domains: - Dates: Related to date manipulation, such as detecting or extracting months or days from a substring, or extending 2-digit years to a 4-digit full format, etc. - Emails: Related to email manipulation, such as getting the words after or before the '@' symbol, append the '@' symbol at the end of a string, etc. - Names: Related to personal names manipulation, such as getting the initials of a name, creating a user login, etc. - Phones: Related to phone numbers manipulation, for example, setting the prefix by a country name or code, detecting a phone in a text, etc. - Times: Related to strings containing time, such as change between 24/12h format, changing time zone, etc. - Units: Convert units of length, mass, time, electric current, thermodynamic temperature, and others such as volume, etc. - Freetext: Basic string manipulation problems.