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.

Generation Z price history tracking allows crypto investors to easily monitor the performance of their investment. You can conveniently track the opening value, high, and close for Generation Z over time, as well as the trade volume. Additionally, you can instantly view the daily change as a percentage, making it effortless to identify days with significant fluctuations. According to our Generation Z price history data, its value soared to an unprecedented peak in 2025-10-04, surpassing -- USD. On the other hand, the lowest point in Generation Z's price trajectory, commonly referred to as the "Generation Z all-time low", occurred on 2025-10-04. If one had purchased Generation Z during that time, they would currently enjoy a remarkable profit of 0%. By design, 10B Generation Z will be created. As of now, the circulating supply of Generation Z is approximately 10,000,000,000. All the prices listed on this page are obtained from Bitget, a reliable source. It is crucial to rely on a single source to check your investments, as values may vary among different sellers. Our historical Generation Z price dataset includes data at intervals of 1 minute, 1 day, 1 week, and 1 month (open/high/low/close/volume). These datasets have undergone rigorous testing to ensure consistency, completeness, and accuracy. They are specifically designed for trade simulation and backtesting purposes, readily available for free download, and updated in real-time.

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.

This dataset includes 20 identified challenges employers face with Gen Z workers, categorized by behavioral trends, workplace expectations, and communication gaps.

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

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 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, 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.

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: Indonesian
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

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.

On behalf of the Press and Information Office of the Federal Government, the opinion research institute Kantar conducted a target group survey of the ´Generation Z´. For this purpose, 1,022 people between the ages of 14 and 24 were surveyed online between 05 and 18 July 2021. The focus of the survey was on the values and orientation of the generation, their situation in the pandemic, political interest and information behaviour as well as political and social attitudes. In order to map the influence of the corona pandemic on the attitudes and social image of Generation Z, the results of this survey were compared with a survey from 2019. Current life circumstances: life satisfaction; highest school-leaving qualification of father and mother; material situation: frequency of renunciation for financial reasons; source of money (from own work, from parents, from state support, from elsewhere); primary source of money; negative effects of the Corona crisis on personal income; organisation of distance learning (communication via a digital learning platform, via video conference, via e-mail, via messenger/chats such as e.g. WhatsApp, via a cloud, by telephone, by post or by other means); agreement with statements on the situation in schools/colleges (I was able to concentrate well on my tasks at home, I missed direct contact with my classmates/ fellow students, my grades deteriorated during the pandemic, distance learning at my school/college worked well, I had insufficient equipment to follow lessons, the accessibility of teachers was very good even in times of distance learning, learning became more strenuous for me during the pandemic); opinion on the future recognition of school, university or professional degrees made during the Corona pandemic; leisure activities during the pandemic (less sport since the beginning of the pandemic than before, relationships with friends have deteriorated during the pandemic, significantly more time on the internet since the beginning of the pandemic than before, started a new hobby during the pandemic); vaccination status; likelihood of Corona vaccination. 2. Values and attitudes: personally most important life goals (e.g. self-discovery, independence, enjoying life, career, etc.); importance of various aspects for pursuing a profession (secure job, adequate income, interesting work that is fun, compatibility of private life and profession (work-life balance), career opportunities, responsibility, opportunities for further training and development); comparison of values : comparison of values Corona: extensive collection of data for infection protection vs. data protection, especially young vs. especially old people have suffered from the pandemic, pandemic as a chance for change vs. after the pandemic back to the usual normality, comparison of values State: debts in favour of education and infrastructure not a problem vs. always a burden for future generations, active role of the state for important future tasks such as climate protection and educational justice vs. leaving a passive role and shaping of the future to society and the economy, orienting politics towards future generations vs. protecting the interests of those who have already made a contribution to society, comparison of lifestyle values: conscious renunciation in favour of sustainability vs. doing what I feel like doing, doing without in favour of health vs. having fun in the foreground, self-realisation vs. putting aside one´s own needs in favour of one´s personal environment, today´s generation has completely different values than the generation before it vs. in principle very similar values as the generation before it). 3. Media and information: interest in politics; points of contact with politics in everyday life (e.g. media consumption, when using social networks, in personal conversations with friends and family, at work, at school or university, in public spaces, in leisure time/hobbies); being informed about politics; most frequently used sources of political information (media) (e.g. news programmes on TV, talk shows on TV, websites of public institutions and authorities, etc.). e.g. news programmes on TV, talk shows on TV, websites of public institutions and authorities, satire programmes on TV, etc.); change in political information behaviour in the Corona pandemic. 4. Politics and society: satisfaction with democracy; opinion on democracy as an idea; need for reform of politics in Germany; most important political problems in Germany (open); satisfaction with the work of the federal government; trust in institutions (judiciary, environmental and aid organisations such as Greenpeace or Amnesty International, public health authorities such as the Robert Koch Institute, federal government, Bundestag, police, churches, school/university); perception of social lines of conflict (between rich and poor, employers and employees, young and old, foreigners and Germans, East Germans and West Germans, women and men, people in the city and people in the countryside); attitudes towards Corona (politicians take young people´s concerns seriously, young people received sufficient financial support from the state during the pandemic, young people´s needs were not taken into account enough by politicians during the Corona pandemic, the Corona pandemic will affect my generation´s future opportunities in the long term, my generation will benefit significantly from the awakening after the Corona pandemic, the Corona crisis has changed my perspective on many things in life, young people´s career opportunities have deteriorated as a result of the pandemic); agreement with various statements on Corona vaccination (children and young people aged 12 and over should also be vaccinated against Corona, young people currently have to wait too long for a vaccination appointment, vaccination prioritisation should have been lifted earlier, vaccination of young people against Corona is not necessary, there should be compulsory vaccination for schoolchildren, I personally feel that Corona vaccinations in Germany are treated fairly); currently appropriate measures to support children and young people (open). 5. Future perspectives: assessment of personal future opportunities; assessment of the future opportunities of one´s own generation in Germany; future vision of politics: agreement with various statements (a council of randomly selected citizens should be created to draw up political recommendations for the federal government, voting in elections should be possible via app, the voting age in federal elections should be lowered to 16, the population should be represented in the Bundestag by means of quotas, the population should vote directly on important political issues by referendum). Demography: age; sex; federal state; current attendance at school, college or university; type of educational institution currently attended; highest level of education attained to date; employment; subjective class classification; housing situation; household size; party sympathies; migration background. Additionally coded was: serial number; city size; weighting factor. Im Auftrag des Presse- und Informationsamt der Bundesregierung hat das Meinungsforschungsinstitut Kantar eine Zielgruppenbefragung der „Generation Z“ durchgeführt. Dazu wurden im Zeitraum vom 05. – 18. Juli 2021 1.022 Personen zwischen 14 und 24 Jahren online befragt. Die Schwerpunkte der Befragung lagen auf den Werten und Orientierung der Generation, ihrer Situation in der Pandemie, dem politischen Interesse und Informationsverhalten sowie auf den politischen und gesellschaftlichen Einstellungen. Um den Einfluss der Coronapandemie auf die Einstellungen und das Gesellschaftsbild der Generation Z abzubilden, wurden die Ergebnisse dieser Befragung mit einer Befragung aus dem Jahr 2019 verglichen. Aktuelle Lebensumstände: Lebenszufriedenheit; höchster Schulabschluss von Vater und Mutter; materielle Situation: Häufigkeit des Verzichts aus finanziellen Gründen; Geldquelle (aus eigener Arbeit, von den Eltern, aus staatlicher Unterstützung, von woanders her); primäre Geldquelle; negative Auswirkungen der Corona-Krise auf das persönliche Einkommen; Organisation des Fernunterrichts (Kommunikation über eine digitale Lernplattform, per Videokonferenz, per E-Mail, per Messenger/Chats wie z.B. WhatsApp, über eine Cloud, per Telefon, per Post oder auf sonstige Weise); Zustimmung zu Aussagen zur Situation in Schulen/ an Hochschulen (ich konnte mich zu Hause gut auf meine Aufgaben konzentrieren, der direkte Kontakt zu meinen Mitschüler/innen/ Kommilitonen/innen hat mir gefehlt, meine Noten sind während der Pandemie schlechter geworden, der Fernunterricht an meiner Schule/ Hochschule hat gut funktioniert, ich hatte nur ungenügende Ausstattung zur Verfügung, um dem Unterricht folgen zu können, die Erreichbarkeit der Lehrkräfte war auch in Zeiten des Fernunterrichts sehr gut, das Lernen ist für mich während der Pandemie anstrengender geworden); Meinung zur künftigen Anerkennung von Schul-, Universitäts- oder Berufsabschlüssen, die während der Corona-Pandemie gemacht wurden; Freizeitgestaltung während der Pandemie (seit Beginn der Pandemie weniger Sport als davor, Beziehungen zu Freunden haben sich in der Pandemie verschlechtert, seit Beginn der Pandemie deutlich mehr Zeit im Internet als davor, in der Pandemie ein neues Hobby begonnen); Impfstatus; Wahrscheinlichkeit einer Corona-Impfung. 2. Werte und Einstellungen: persönlich wichtigste Lebensziele (z.B. Selbstfindung, Unabhängigkeit, Leben genießen, Karriere, etc.); Wichtigkeit verschiedener Aspekte für die Ausübung eines Berufs (sicherer Arbeitsplatz, angemessenes Einkommen, interessante Arbeit, die Spaß macht, Vereinbarkeit von Privatleben und Beruf (Work-Life-Balance), Karrieremöglichkeiten, Verantwortung, Weiterbildungs- und Entwicklungsmöglichkeiten); Gegenüberstellung von Werten :

This dataset contains audio recordings of 12 different accents across the UK: Northern Ireland, Scotland, Wales, North East England, North West England, Yorkshire and Humber, East Midlands, West Midlands, East of England, Greater London, South East England, South West England. We split the data into a Male: Female ratio of 1:1. The audio dataset was compiled using opensource YouTube videos and it a collation of different accents, the audio files were trimmed for uniformity. The Audio files are of length 30 seconds, with the first 5 seconds and last 5 seconds of the signal being blank. We also resample the audio signals at 8 kHz, again for uniformity and to remove any noise present in the audio signals whilst retaining the underlying characteristics. The intended application of this dataset was to be used in conjunction with a deep neural network for accent and gender classification tasks.

This dataset was recorded for an experimentation looking into applying machine learning techniques for the task of classifying song preference amongst generation Z (18 to 24 years) participants. We define a labelling system corresponding to specific songs with 5 ratings: hate, dislike, neutral, like and love. The songs used for this experiment were chosen due their success for various awards, such as the BRIT awards (BRIT), Mercury Prize (MERC), Rolling Stone most influential albums (ROLS). They are as shown:

S1: One Kiss by Calvin Harris and Dua Lipa (BRIT)


S2: Don't Delete the Kisses by Wolf Alice MERC)


S3: Money by Pink Floyd (ROLS)


S4: Shotgun by George Ezra (BRIT)


S5: Location by Dave (MERC)


S6: Smells Like Teen Spirit by Nirvana (ROLS)


S7: God's Plan by Drake (BRIT)


S8: Breezeblocks by alt-J (MERC)


S9: Lucy In The Sky With Diamonds by The Beatles (ROLS)


S10: Thank U, Next by Ariana Grande (BRIT)


S11: Shutdown by Skepta (MERC)


S12: Billie Jean by Micheal Jackson (ROLS)

A Unicorn Hybrid Black was used for recording the EEG data from the participants whilst they were played the control songs listed above. For each of the 12 total song played to a participant during the experiment, there were 8 EEG lead recordings measured of length 20 seconds, with the first 5 seconds and the last 5 seconds being blank for control purposes. The EEG signals were sampled at 250 Hz by the Unicorn Hybrid Black devices, which also filtered the signals to be between 2Hz to 30 Hz in order to remove any noise recorded during the experimentation. There are approximately 5000 data points per reading of a given song, with there being 12 songs played to a total of 10 participants.

This dataset is linked to the research titled Cultural Tourism in Vietnam: Theories, Policies, and Gen Z's Perspective. It contains data from 251 respondents, representing the sample used for analysis in the study. The dataset serves as the foundation for deriving key findings and insights presented in the research.

This dataset contains demographic information and mobile gaming behavior of Indonesian Gen-Z. It includes responses from mostly Gen-Z participants with varying income and education levels. Additionally, the data captures frequently played games, gaming experience, and top-up preferences. The author creates a questionnaire and posts it online for the population and sample that have been predetermined. In this study, the questionnaire approach was utilized for data collection. The questionnaires of this study were distributed via Google forms with a distribution period of 3 months.

The data set accompanies the study "Understanding Generation Z's Awareness of Clean Beauty: The Role of Sustainability, Ethicality, and Safety." The research investigated how three key attributes of the clean beauty movement, safety (non-toxic ingredients), ethicality (cruelty-free practices), and sustainability (eco-conscious packaging, influence the purchase intentions of Generation Z consumers. The dat set provides responses from 195 Gen Z individuals (145 women, 50 men) collected through the Clean Beauty Awareness Questionnaire (CBAQ), a measure specifically developed by the authors for this study. The CBAQ assesses respondents' perceptions, attitudes, and purchase intentions regarding clean beauty products. The data set contains 1. Raw data file (sheet 1 of .xlsx) containing participant responses 2. Codebook/documentation (sheet 2 of .xlsx) containing the codes of categorical variables 3. Questionnaire items (sheet 3 of .xlsx) (CBAQ) as used in the study.

This dataset contains the predicted prices of the asset Generation Z over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

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 dataset contains the predicted prices of the asset Gen Z Quant over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

This dataset contains the predicted prices of the asset Ai GEN Z 2025 over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

Context

Birds Aren't Real (r/BirdsArentReal), is the official subreddit for the "most woke among us". It is described as "a safe haven for believers to gather, support one another in these times of adversity, and share images and stories that propel the cause forward. The birds work for the bourgeoisie".

A bit of context here: a significant number of members of Generation Z actively propagate (as a joke or seriously) the myth that birds doesn't exist anymore, because were gradually replaced by Government with drones.

The movement took a certain momentum recently, here is a selection of articles documenting this strange phenomena: * Birds Aren’t Real, or Are They? Inside a Gen Z Conspiracy Theory
* ‘Birds Aren’t Real’: How A Parody Conspiracy Movement Fought ‘misinformation With Lunacy’

https://img.republicworld.com/republic-prod/stories/promolarge/xhdpi/wizpfcbxdds0f9sm_1639621762.jpeg" alt="">

The data is not filtered.

Collection

Reddit posts and commits from subreddit r/BirdsArentReal.

Script used for collection can be found here: Reddit extract content

Inspiration

Use the texts in this dataset to:

• train to do text data analysis;
• perform sentiment analysis;
• perform topic modelling on the text corpus.

Im Auftrag des Presse- und Informationsamt der Bundesregierung hat das Meinungsforschungsinstitut Kantar eine Zielgruppenbefragung der „Generation Z“ durchgeführt. Dazu wurden im Zeitraum vom 05. – 18. Juli 2021 1.022 Personen zwischen 14 und 24 Jahren online befragt. Die Schwerpunkte der Befragung lagen auf den Werten und Orientierung der Generation, ihrer Situation in der Pandemie, dem politischen Interesse und Informationsverhalten sowie auf den politischen und gesellschaftlichen Einstellungen. Um den Einfluss der Coronapandemie auf die Einstellungen und das Gesellschaftsbild der Generation Z abzubilden, wurden die Ergebnisse dieser Befragung mit einer Befragung aus dem Jahr 2019 verglichen.