Hello, I’m pretty new to retrieving through the internet. I currently need to find addresses and brand names to all gas stations in the state of Arizona. There is about 2200 from what I’ve seen online. I have 0 coding skills so I decided to go the manual route and I’ve gotten 1700 so far through google maps. Is there an easier/faster way to do this. Any tips would be greatly appreciated!

I want to build a expense tracker for an individual’s expenses/finances using ML classify the expenses, provide graph representations, forecast future expenses I’ve searched through hugging face, kaggle, github, but couldn’t find a proper one. Can anyone help me with one ?

Hi everyone,

I’m currently working on a project that involves categorizing various electronic products (such as smartphones, cameras, laptops, tablets, drones, headphones, GPUs, consoles, etc.) using machine learning.

I’m specifically looking for datasets that include product descriptions and clearly defined categories or labels, ideally structured or semi-structured.

Could anyone suggest where I might find datasets like this?
Thanks in advance for your help!

Hey guys, what’s up?

I’m a brazilian researcher finishing data analysis on my PHD in Geography. One of my case studies is the city of Vallejo (CA) and I need to find census data regarding income, whether from households, families, people, whatever. The smaller the geographic unit used, the better. Would anyone know where can I find these types of data? I already explored the USA Census website but I got a little bit confused.

If it interests anyone and to clarify, I’m currently studying the territorial impact that participatory budgeting has on midsized cities.

Thanks a lot!

Hello! I’m currently working on a paper and needs detailed coral cover datasets of different coral reefs all over the word. (Specifically, weekly or monthly observations of these coral reefs). Does anyone know where to get them? I have emailed a few researchers and only a few provided the datasets. Some websites have datasets but usually it’s just the Great Barrier Reef. It would be a great help if anyone could help. Thank you! 🙂

(I’ve tried kaggle but the one i need isn’t there unfortunately :'(( )

I want a huge and modern database to train a model on, but I hope it will be modern readings and real data.

Dealing with inconsistent, missing, or messy data is a daily struggle for many data professionals. What’s your go-to strategy for handling chaotic datasets without losing your mind? Do you have any personal tricks, mindset shifts, or even funny coping mechanisms that help you push through frustrating moments?

I apologize if this belongs on r/askstatistics (I posed here since I am inquiring about a dataset). I’m developing a mapping algorithm and require a random sample of US addresses to validate the tool with. I was wondering if anyone had any tips on free databases that would be a statistically sound source to select a simple random sample from? Do you think openaddresses.io would be adequate? Alternatively, I was thinking of randomly generating a latitude and longitude within the United States and then using a reverse geocoding algorithm to provide an address. Though I’m not sure the latter would be a statistically sound method?

Hi, I’m going to start working on a project regarding object detection and roulette. Does anybody know where i can find sources of roulette being played?

Hi all,

Would anyone have insight into a dataset of recent war incidents (ideally the last 25 years, not historical) which tracks specific munitions use and impacts?

Platforms like ACLED, S&P Global, LiveUAMap have good records of specific incidents (a drone strike here, an tank shelling there) but there’s not a focus on the consequences.

My ideal dataset would have date, location, weapon type and some measurement of destruction. The idea is to abstract different ‘types’ of war – Sudan vs Ukraine vs Gaza – in order to examine what would happen if these ‘war’ types hit elsewhere.

Grateful for any insights!

i am looking for a phishing email dataset for my model for classification. i need email body as well. if its possible to get the latest dataset pls provide.

I need help with finishing such dataset ASAP it’s urgent

Guys I only need like 20 more responses for my stats project due tomorrow. If you’re a college student this form only takes like 5 seconds to fill out. Please help a pimp in distress!

It was used in Volvo Challenge ECML PKDD 2024. I have searched the entire internet but I am yet to find it anywhere. If someone happens to have it please do share.

Hi All, I am a data scientist trying to run an analysis on companies to identify potential new clients for the current company I work for. Currently, we have one very large client (think millions of workers) that we do most of our reporting work on, then we have 3-5 smaller clients (think 10k workers or less). I can’t get too far into specifics, but we essentially are an add-on service to a company’s medical plan (free for the employees to use, but we bill the company). We do outreach to offer our services, but obviously the list of people we can contact is finite and will decrease quickly over time. Our main goal is to identify workplace troubles and situations where work environments affect a worker’s mental health, then provide them with resources to help with whatever they are struggling with. Our busines model is that we can prove that providing these services proactively saves companies millions of dollars in medical spend in the long run (spend a little now to keep employees mentally healthy vs wait for problems to compound into more serious problems resulting in more medical claims spend in the future). I have been looking for an impactful project to work on, and the one that I keep wanting to explore more is to build some sort of clustering algorithm to 1) identify companies similar to the ones we currently work with, and 2) identify other companies that we can provide the most impact for. I would greatly appreciate any recommendations on what resources I can use to compile the data I’m looking for, where to start, or any other ideas to help refine my approach.

Thanks so much!

Hi everyone,

I’m working on my undergraduate thesis in statistics and need MRI images of brain tumors (meningioma, pituitary, and glioma) to apply machine learning techniques. I’m looking for reliable datasets, preferably from institutional sources, hospitals, or public databases.

If anyone knows where I can find these images, I would really appreciate your help!

Thanks in advance to anyone who can assist! 🙌

Hi, i want share with you this new dataset that I has created in Kaggle, if do you like please upvote

https://www.kaggle.com/datasets/fredericksalazar/life-expectancy-1960-to-present-global

Hi all!

I’m taking a statistics class and the assignment is to create a quantitative manuscript. The prof wants us to use a publicly available dataset and then create a research question, do the stats/analysis and write the manuscript (instructions: Choose a research question that aligns with the available data in the selected dataset and is relevant to your chosen context). I’m thinking of using this database:

Hospitalization and Childbirth, 1995–1996 to 2023-2024 — Supplementary Statistics

https://www.cihi.ca/en/access-data-and-reports/data-tables?keyword=birth&published_date=All&acronyms_databases=All&type_of_care=All&place_of_care=All&population_group=All&health_care_quality=All&health_conditions_outcomes=All&health_system_overview=All&sort_by=field_published_date_value&items_per_page=10&page=0

I’m interested in maternal health, but I’m really struggling with creating a research question. I just don’t understand how you can do it from a database – I’m a qualitative researcher so i’m use to always doing data collection. Any help would be so greatly appreciated

I’m doing an ML project on a study of various accident scenarios in vehicles, hence I would need to collect datas such as speed and steering wheel angle in timeseries format, at first I used euro truck simulator to collect some data but now I have reached a point where I need to collect the data of two vehicles at a time. Can someone help me with this, Carla is a heavy file and cannot be supported.

Im just looking for an easy to understand data set because I’m don’t really know what should my project should be about could someone help me decide?

I’ve scraped over 10,000 kaggle posts and over 60,000 comments from those posts from the kaggle site and specifically the answers and questions section.

My first try : kaggle dataset

I’m sure that the information from Kaggle discussions is very useful.

I’m looking for advice on how to better organize the data so that I can scrapp it faster and store more of it on many different topics.

The goal is to use this data to group together fine-tuning, RAG, and other interesting topics.

Have a great day.

My team and I are currently developing a financial software solution. Our primary goal is to deliver clean, structured, and highly accurate data to users, not just stock market predictions.

We are currently focused on the Indian stock market and urgently need a reliable dataset. While multiple datasets are available online, they lack accuracy and do not fulfill the requirements for our application. Specifically, we need data in a structured format like this:

📊 Stock Analysis for RELIANCE
➡ Last Price: ₹1247.25
🔄 Change: ₹8.85 (0.71%)
🔹 Open Price: ₹0 | Close Price: ₹0
📉 Day Low: ₹0 | �� Day High: ₹0
📆 52-Week Low: ₹0 | 52-Week High: ₹0
📊 VWAP: ₹0 | Above VWAP ✅ (Bullish)
📢 Trend: 📈 Uptrend
🔥 Near 52-week high! Possible breakout

The challenge we face is that most available datasets do not include crucial metrics like the buying and selling ratio, which makes precise analysis difficult.

If anyone has access to a dataset that includes this information or knows a reliable source where we can obtain it, please share the details. This is extremely urgent, and we would be very grateful for any help or guidance.

where can i find macroeconomic dataset for ml, i looked at kaggle and couldnt find anythingh promisinf

I’m looking for the most useful datasets for analyzing residential real estate sales to help determine property values. Ideally, I’d like datasets that include:

• Historical sales prices
• Property characteristics (square footage, lot size, bedrooms/bathrooms, etc.)
• Location data (ZIP code, neighborhood, proximity to amenities)
• Market trends (price appreciation, days on market, supply/demand)
• Tax assessments and mortgage data (if available)

I’m especially interested in open/public datasets but would also appreciate recommendations on high-quality paid sources. Bonus points for datasets that provide nationwide coverage in the U.S. or strong local-level granularity (county or ZIP code level).

I’m curious if anyone has explored using Hugging Face datasets + MCP servers to automate data generation and augmentation. The idea is to leverage AI agents that interact with MCP-connected tools to synthesize or transform datasets dynamically. Has anyone tried this? What challenges do you see in scaling such a setup? Would love to hear if someone is already building something similar!

Hello, I’m an international student from India, currently studying in the USA. I’m living in a small town where everything is quite affordable, including tuition fees and living costs. However, the town doesn’t have many companies offering internship opportunities, and the university’s ranking in computer science is not very high.

I’m now looking to transfer to a different university that is still affordable but located near a larger city, where I can find better opportunities for internships in the computer science field. Ideally, I’m looking for a school with a good reputation in computer science and a tuition fee range of $4,000 to $5,000 per semester.

If anyone has any recommendations or knows of any universities that fit this criteria, I would greatly appreciate it!