5 datasets

Hugging Face Datasets2026 · dataset

Sinabis Oil – Synthetic Email Dataset More than 1.25 million emails from the everyday business of a fictional energy company. They span eight and a half years and four languages, and they include real attachments and calendar invitations. Every person, company and event is made up. The content was written by large language models, and the demo-gen generator built the structure around it. All figur

REDU - Unicamp Institutional Research Data Repository2025 · dataset · unknown

Overview This data set consists of links to social network items for 34 different forensic events that took place between August 14th, 2018 and January 06th, 2021. The majority of the text and images are from Twitter (a minor part is from Flickr, Facebook and Google+), and every video is from YouTube. Data Collection We used Social Tracker, along with the social medias' APIs, to gather most of the

REDU - Unicamp Institutional Research Data Repository2025 · dataset · unknown

Overview Social media platforms have an important role in Brazilian society's polarization. Especially during the COVID-19 pandemic (2020–2021), these platforms experienced a peak of posts about President Bolsonaro's speeches and behavior during this period. On the one hand, millions of people supported Bolsonaro's attitudes and followed his controversial guidance. On the other hand, a vast number

REDU - Unicamp Institutional Research Data Repository2025 · dataset · unknown

Overview Datasets introduced in "Semi-Supervised Feature Embedding for Data Sanitization in Real-World Events" It includes the links for the images that consist of the five datasets. NotreDame: Remarkable partial destruction of the Parisian Cathedral by a fire in 2019. Grenfell: 2017 tragic fire incident in the Grenfell Tower in London. NationalMuseum: Total destruction of the National Museum in B

REDU - Unicamp Institutional Research Data Repository2025 · dataset · unknown

Overview The Brazilian Political Protest Dataset (Annotated Tweets) is a collection of 5,000 manually labeled tweets related to protests in Brazil on September 7, 2021, and subsequent demonstrations in the following days. The dataset captures public discourse on Twitter, including opinions, news, and media content shared by users supporting and opposing the protests. To collect the dataset, we use