Omkar2118/datasets huggingface dataset:
BrWac2Wiki

This is a dataset for multi-document summarization in Portuguese, what means that it has examples of multiple documents (input) related to human-written summaries (output). In particular, it has entries of multiple related texts from Brazilian websites about a subject, and the summary is the Portuguese Wikipedia lead section on the same subject (lead: the first section, i.e., summary, of any Wipedia article). Input texts were extracted from BrWac corpus, and the output from Brazilian Wikipedia dumps page.

BrWac2Wiki contains 114.652 examples of (documents, wikipedia) pairs! So it is suitable for training and validating AI models for multi-document summarization in Portuguese. More information on the paper "PLSUM: Generating PT-BR Wikipedia by Summarizing Websites", by André Seidel Oliveira¹ and Anna Helena Reali Costa¹, that is going to be presented at ENIAC 2021. Our work is inspired by WikiSum, a similar dataset for the English language.

Introducing paper: PLSUM: Generating PT-BR Wikipedia by Summarizing Multiple Websites
Hello Watt
Full name: Hello Watt electricity consumption curves

Hello Watt collects power usage data at a resolution of 30 minutes. To develop and test our disaggregation methods we consider a subsample consisting of power consumption of 5k households with off-peak pricing contracts for one month.
In addition to the type of their water heating, some users also provide such metadata as the home surface area, and the number of inhabitants.

Introducing paper: Domain Knowledge Aids in Signal Disaggregation; the Example of the Cumulative Water Heater