Dataset Details

This dataset contains a rich collection of popular slang terms and acronyms used primarily by Generation Z. It includes detailed descriptions of each term, its context of use, and practical examples that demonstrate how the slang is used in real-life conversations. The dataset is designed to capture the unique and evolving language patterns of GenZ, reflecting their communication style in digital spaces such as social media, text messaging, and online forums. Each… See the full description on the dataset page: https://huggingface.co/datasets/MLBtrio/genz-slang-dataset.

The Zoroastrian community today faces many challenges, some of which are deep-rooted and complex with no easy fix or resolution. It was proposed by members of the community that an independent research project should be conducted to help understand the community as it exists today. Gen Z and Beyond: A Survey for Every Generation was a completely anonymous survey for Iranian / Parsi / Irani Zoroastrians. It was conducted by researchers at the SOAS Shapoorji Pallonji Institute of Zoroastrian Studies (SSPIZS). SOAS was chosen as a neutral platform for research, so that the researchers would not support any particular outcome from the survey. The project was approved by the SOAS Research Ethics Panel. There has been no other survey of this nature undertaken on the global Zoroastrian community. The survey questionnaire was wide-ranging and included questions about domestic and family life, professional aspirations, religious observances and beliefs, philanthropy, entrepreneurship, immigration, community engagement and other issues of importance and relevance to the (Iranian / Parsi / Irani) Zoroastrian community. The purpose of conducting the survey was to produce a report and dataset that could be of use to community leaders and researchers in the present and future.

This dataset provides insights into the spending habits of Gen Z (ages 18-27) across various categories such as rent, groceries, entertainment, education, savings, and more. It contains 1700 records and 15 financial attributes, making it a valuable resource for financial trend analysis, budgeting studies, and machine learning applications in personal finance.

This dataset contains the results of a survey conducted via Google Forms to assess Generation Z’s understanding, environmental awareness, and social action related to waste management during the Eid al-Fitr holiday season. The survey included an infographic guide as a stimulus to evaluate how visual media supports behavioral change and sustainability education among youth. The dataset also contains the result that had been transcribed from an interview with carbon expert.

The dataset, exported from Google Forms in XLSX format, includes respondents’ demographic information, their interpretation of the infographic content, their level of environmental awareness, and their reported or intended waste management practices during the holiday. The dataset from interviews with carbon expert, exported in DOCX format.

This dataset is valuable for researchers in environmental education, youth studies, sustainability communication, and behavioral change research.

Format: XLSX (exported from Google Forms)
Number of Respondents: 6
Language: Indonesia
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Data Collection Method: Online survey using Google Forms
Data Collection Period: 4 April 2025

ai-maker-space/gen-z-translation dataset hosted on Hugging Face and contributed by the HF Datasets community

How it Started

I was interested in collecting data about how Generation Z makes decisions because college is on the horizon for my classmates and me. We are becoming the leaders, entrepreneurs, and creators of tomorrow and behind every successful person, is their ability to make the right decision at the right time.

How I Collected my Data

I collected my data through google forms and before the answers started to trickle in, I created my own hypothesis. I thought that most students in Generation Z would not be afraid to make decisions and that since they are one of the smartest generations, they would be able to tackle the task of picking which college is best for them and why.

Inspiration

I am very much aware that a lot of research is being done to find out more about Generation Z, but I was so inspired by my research coach, Coach Jo, who is currently doing research with Dr. Peggy Dawson about Generation Z and Productivity. I learned that Generation Z is by far the smartest generation, but our attention spans are cut short because of how much we use technology and the internet. This research will help find out whether technology and making decision affects Generation Z and how we, as a society, can make better decisions for better futures.

This is a survey of over 3,000 young Londoners that was completed in June 2020 in partnership with the Museum of London. This focuses on the key issues and concerns affecting young people aged between 16-24 and reviews the challenges they face and what needs to happen to help young people thrive across the capital. This dataset is being reviewed. The data will be made available again soon.

The dataset consists of responses collected via an online questionnaire targeting Generation Z individuals in Portugal. It focuses on understanding the adoption of AI-driven chatbots in the tourism and hospitality industries. The data includes demographic information, behavioral variables, and responses to constructs from the AI Device Use Acceptance (AIDUA) model, such as emotional reaction, performance expectancy, anthropomorphism, and social influence.

This dataset contains responses from a survey analyzing the impact of digital literacy on Generation Z’s intention to invest in financial products through investment applications. The data includes key variables such as digital literacy levels, investment awareness, behavioral intention, perceived ease of use, perceived risk, and demographic factors. The study aims to identify the extent to which digital literacy influences financial decision-making among young investors and how technology adoption plays a role in shaping their investment behavior.

The dataset is structured to support statistical analysis, hypothesis testing, and predictive modeling, making it valuable for academic research, business insights, and financial technology development.

Gen Z Slang Pairs Corpus (1 K)

The Gen Z Slang Pairs Corpus (1 K) contains 1,000 everyday English sentences alongside their Gen Z–style slang rewrites. This dataset is designed for style-transfer, informal-language generation, and paraphrasing research. Use it to train models that transform formal or neutral sentences into expressive, youth‑oriented slang.

  Dataset Details

This dataset was generated programmatically using OpenAI GPT-4.1 Nano.

Language: English… See the full description on the dataset page: https://huggingface.co/datasets/Programmer-RD-AI/genz-slang-pairs-1k.

This study investigates the determinants of news-sharing behavior among Generation Z users on social media in Vietnam by integrating three theoretical frameworks: Newsworthiness Theory, Uses and Gratifications Theory (U&G), and the Theory of Planned Behavior (TPB). A structural equation modeling approach (PLS-SEM) was employed to examine the relationships between perceived news value (social significance, audience relevance), user gratifications (information seeking, socializing, status seeking, entertainment, and pass-time), and psychological drivers such as Fear of Missing Out (FoMO). Data were collected from a stratified random sample of 1.224 high school and university students across six socio-economic regions. The results reveal that social significance, audience relevance, and most gratification-based motivations—excluding pass-time—significantly influence the intention to share news. FoMO was found to positively moderate the impact of information seeking and status seeking on sharing intention. Furthermore, intention to share news significantly predicted actual news-sharing behavior, with inattention to news credibility acting as a mediating factor. The findings underscore the importance of both content attributes and user psychology in shaping digital news sharing among youth. Practical implications are discussed for media organizations aiming to enhance engagement and credibility in the digital era.

This dataset analyzed (1) the relationship between consumer attitudes, subjective norms, and perceived controls with the purchase intention of eco-friendly products in Generation Z consumers

Demographic and PII data (including emails, phone numbers, and addresses) for the US Millennial and Gen Z population segments. Fully opt-in and CCPA compliant (direct submission from the individuals). 30 million+ population.

High success and conversion rates for direct marketing, targeted ads, identity verification, and demographic research.

This data can be merged into the BIGDBM Consumer dataset or have specific data fields appended from the BIGDBM Consumer dataset.

BIGDBM Privacy Policy: https://bigdbm.com/privacy.html

This dataset contains responses from 467 Indonesian Gen Z respondents who participated in a survey examining continuance intention in gamified digital news platforms. The dataset was collected as part of a study investigating how perceived usefulness, satisfaction, confirmation, and intrinsic motivation (competence, autonomy, relatedness) impact user engagement and retention.

Dataset linked to the scientific article “Generation Z's Approach to the Future of the Environment - In Search of the Imperative”. Authors: Piotr Daniluk, Radoslaw Wisniewski, Aneta Nowakowska-Krystman, Tomasz Kownacki. Data refer to the results and outcomes of the models and analyses performed in the article.

The interview protocol aims to gauge their perceptions and responses toward brand activism, with a focus on their interactions with brands endorsing social issues. Within this dataset, interviewees unpack their perspective on Gen Z attributes and evaluate their resonance with prevalent depictions. Central to the interview is the participants' feedback on prominent brand campaigns such as Nike's "JUST DO IT," Gillette's "We Believe," and Libresse/Bodyform's "Viva la Vulva," to name a few. Their analyses unveil perceptions of brand genuineness, the synergy between a brand's image and its advocated social concerns, and the overarching ramifications of brand activism on consumer purchasing decisions. In addition, the dataset broaches essential themes like social credibility, the influence of brand spokespeople, geographical variances in brand activism, and the prospective outcomes for customer fidelity and product pricing. This collection offers an in-depth glimpse into the intricate dynamics between Gen Z and brands during this period of intensified social and political awareness. This dataset comprises qualitative data obtained from interviews with 37 individuals from the Gen Z demographic, predominantly aged between 20-25 years. Of these participants, 53.3% identified as male (n=20), 40% as female (n=15), and 6.7% opted not to specify their gender (n=2). The participants for these interviews were strategically sourced using the snowballing technique between 2021 and 2022. Among them, 33 are international young adults who, at some point within the last 1-2 years, were studying or employed in the Netherlands. It is noteworthy that between October 2021 and February 2022, the Netherlands observed a stringent lockdown, mandating remote work. Consequently, some interviewees, despite affiliations with Dutch organizations, were in their home countries during their respective interviews. The distribution of participants based on their continents of origin, namely North America, Europe, and Asia, and taking into account their place of residence in instances of dual citizenship, is detailed as follows: 1) Europe has the predominant representation with a sum of 20 participants; 2) North America consists of 7 participants, all originating from the USA; 3) Asia comprises 6 participants spread across four countries: Vietnam, Indonesia, Japan, and South Korea. Additionally, 4) South America is denoted by one participant from Bolivia and another participant holding dual citizenship from Argentina but currently residing in the US.

In 2023, the disposable income of a household led by a Millennial in the United States was 97,866 U.S. dollars per year. Households led by someone born in Generation X, however, had a disposable income of around 113,886 U.S. dollars in 2023.

This is the dataset for the study: The Attractiveness of Employee Benefits in Agriculture from the Perspective of Generation Z Data contains: Data from Job advertisements - content analysis of job advertisements. Benefits offered by agricultural companies to employees were identified from the job advertisements.Questionnaire data - In a questionnaire survey, it was determined how attractive the employee benefits are to representatives of Generation Z. The headers of tables are translated into English. The data are in the original (Czech) language.

Tabular file with data and Stata do file with code to replicate analysis for Ross & Ross (2020) "(Young) Generations as Social Identities: The Role of Latino*Millennial/Generation Z in Shaping Attitudes about Climate Change" (2020-09-20)

These data are the datasets of the article named "
Cases of and Motivations for Second Screen Use by Generation Z in Turkey" that I sent to cominicar.