Data collection project (Only from native speakers)

Summary We are looking to collect a real-world Data assets for following languages: pt_BR fr_FR it_IT de_DE es_ES zh_CN ja_JP ko_KR ar_SA hi_IN For hi_IN, we require: - 50% Hindi written in Latin script (e.g., “aap kaise hain?”) - 50% Hindi written in Devanagari script (e.g., "आप कैसे हैं ?") !!! The data needs to be from native speakers from that language Please note that synthetic data will not be accepted. We are looking to collect the following categories: 1. Mail 2. Message 3. Notes 4. Files 5. Voicemail / Audio (only transcript) 6. Webpages 7. Screenshot 8. Photos (Camera capture) That contain the following data type: 1. Contact Information 2. Event Information 3. People/Relationships 4. Topics of Interest For Topics of Interest, there are 18 topic groups: 1. Sports (ex: basketball, baseball, cricket, soccer, badminton, motorsport), 2. Movies_tv_shows (ex: Big Bang Theory, Inception, 2001 A Space Odyssey, Tom Cruise, Chernobyl, Ken Burns), 3. Food (ex: biryani, tacos, raviolli, momo, kimchi, croissant), 4. Music (ex: Jazz, Bluegrass, Hawaiian, Classical Rock, Bossa Nova, Death Metal, Michael Jackson, David Gilmour, PinkFloyd, Beatles), 5. Arts_crafts_hobbies (ex: photography, dance, recitals, opera, knitting, wood work), 6. Automotive (ex: classic cars, electric vehicles, 6 cylinder engines, Porsche, Mercedes, BMW, Ferrari), 7. Technology (ex: GPU hardware, blockchain, cryptocurrency, Google, Apple, Microsoft, Meta, OpenAI), 8. Travel_vacation (ex: Patagonia, Scandinavia, Japan, backpacking, train journeys, long haul flights, AirBnB, VRBO, USNational Parks, roadtrips), — must have a destination or location detail 9.Weather (ex: hurricane, storms, atmospheric river, drought, fire warnings, flood), 10. Health_fitness (ex: CrossFit, yoga, marathon training, keto diet, protein supplements, Peloton, Apple Watch, sleeptracking, meditation apps) NOTE: we do NOT want anything that is reveals a participants personal health details such as seeking doctor’sadvice, insurance, food allergies, medical conditions, content that can be found on a doctor’s chart, etc. Please stick to Fitness or dietary preference related data, 11. Finance_stocks_portfolio (ex: Tesla stock, S&P 500, cryptocurrency trading, Robinhood, Fidelity, 401k planning, realestate investment) , 12. Government_politics (ex: presidential elections, Supreme Court decisions, local city council, voting registration,campaign donations), 13. School_college_life (ex: college applications, student loans, fraternity/sorority life, dorm living, campus events, studyabroad programs, graduation ceremonies), 14. Work_life: (ex: job interviews, remote work, professional networking, LinkedIn, resume writing, career development,workplace culture, promotions) 15. Traditions_celebrations (ex: Christmas traditions, Diwali celebrations, wedding planning, birthday parties, graduationceremonies, baby showers), 16. Gaming (ex: PlayStation 5, Xbox Series X, Nintendo Switch, Call of Duty, Fortnite, League of Legends, Steam sales), 17. Outdoor_adventure (ex: ex: rock climbing, kayaking, camping gear, hiking boots, national park permits, mountainbiking, fishing licenses), 18. Academic_professional (ex: data science, medicine, clinical research, legal research, economic theory, statistics,tenure, conferences) Data Eligibility Criteria: - Data must be no older than 5 years - Audio is not accepted - text only - Mass marketing messages are not allowed - Conversation threads must not be split into multiple submissions - No anonymous chats - sender and recipient must be clearly identifiable - Assets must clearly show the relationship between users - Typos/grammar issues are okay as long as content is clear and information relates to target category (reflective of natural data) - Handwritten data is okay and acceptable for photos - Limit the same specific “topic” to 2-3 assets max per participant (i.e. only 2-3 notes from one participant about golf) - For Event category we have added three required fields that must be present in the data: 1.Title - what the event is (e.g., “dinner,” “team standup,” “dentist appointment”). 2.Location - place, address, city, or state (e.g., “in office,” “123 Main St,” “downtown Seattle,” “Cupertino, CA”). 3.Temporal - date and time (e.g., “March 10 at 7pm,” “tomorrow at noon,” “this Friday 3:00 PM”). It’s very important that the assets strictly match the category requirements. For example, for People & Relationships - Webpages, we are ideally looking for content such as: Online forms where relationship information is populated (e.g., Emergency Contact: Sally - Mother). A verification or confirmation page showing submitted relationship details (for example, after clicking “Verify details” or after form submission). Registration portals (e.g., registering a child), adding dependents or beneficiaries, housing confirmation pages (e.g., Name: X, Roommate 1: Y, Roommate 2: Z), etc. The key requirement is that the relationship between people is clearly visible and explicitly stated in the webpage content. People relationship-Files For Files, some good examples would be: A welcome letter from a landlord with move-in details, signed. A confirmation letter/page listing updated emergency contacts or dependents with names and relationships. A parent registering a child, with a confirmation file stating Parent/Guardian name and Child’s name. An offer letter signed by a direct manager. Contact - Notes, a simple note with just a name and phone number is not sufficient. It should include additional context, such as why the number was saved, when you plan to call, or notes about the person. The same principle applies to all other categories - the content should be informative and contain sufficient context, rather than minimal information. The type of data. Valid values: mail - Native eml file (.eml) message - Text (txt) notes - Note-taking app content (txt) files - Document files (PDF or RTF) voicemail / audio meeting (transcription only) - text (txt or word) screenshot - Screenshots (JPG, HEIC, PNG) webpages - Native HTML (.html) photos (camera capture) - JPG, HEIC, PNG Payments: - Paid for only passed(accepted) files. $0.7 per asset