The subtext to each question is initalics.Theanswers are in plain text with no formatting. Was there a specific gap that needed to be filled?Please provide a description.The Dollar Street dataset is a supervised image dataset derived from Gapminder'sDollar Street project (https://www.gapminder.org/dollar-street)that It was created with three goals in mind:1. Make available a highly curated set of images with valuable metadata (e.g.country, monthly income) that is more closely representative of the geographicand socioeconomic diversity of the world when compared with existing imagedatasets.2. Help combat bias in downstream applications (e.g.

Privacy-protected microdata are often the desired output of a differentially private algorithm since microdata isfamiliar and convenient for downstream users. However, there is a statistical price for this kind of convenience.

Consequently, detecting whether a text is generated by LLMs has become increasingly important.

The recruitment website is jazzy, awash with pictures of happy young workers, and festooned with upbeat mini-slogans such as insane speed, infinite curiosity and customer obsession. Read a bit lower, and there are promises of perks galore: competitive compensation, free meals, free gym membership, free health and dental care and so on. But then comes the catch. Each job ad contains a warning: Please don't join if you're not excited about working ~70 hrs/week in person with some of the most ambitious people in NYC. The website belongs to Rilla, a New York-based tech business which sells AI-based systems that allow employers to monitor sales representatives when they are out and about, interacting with clients. The company has become something of a poster child for a fast-paced workplace culture known as 996, also sometimes referred to as hustle culture or grindcore.