Hello!

I’m doing a project on auto-grading handwritten exam papers and so am looking for a dataset to help me with that. I want to specifically do this project for auto-marking GCSE/A level exam papers but it seems that no dataset with answered papers exist, so I am looking for alternatives. I am new to ML projects so any advice would be very much appreciated. Thanks!

All my searching so far leads me to suspect that this is a dataset that does not exist. There are a bunch of datasets that primarily focus on examples of English-to-ZOL, but the creators always insist on throwing some first-order logic in there as well. I can explain why that’s a problem if anyone is genuinely curious (as opposed to simply wanting to have an argument.)

TL;DR: I need a dataset that makes a point out of including examples of English (when a sentence actually allows for it) being translated only into ZOL, no higher-order logic whatsoever.

I want to play with global elevation data, but I’m not good at parsing special files. Is there a simple text format dataset of global elevation? Something like a CSV of

LONGITUDE, LATITUDE, ELEVATION 0,0,0

It doesn’t have to be super-high resolution. I’ve found a few sources, but I don’t know how to parse an hgt or kml file.

Hello,
I am looking for a way to get all contributors of the Linux kernel GitHub repo, and then also get all followers from each contributor, preferably in python.
Unfortunately i have never done anything in this direction, i need this for a course at uni.
Is there any way to do this? if so, which programs, library or tutorials can recommend?
Cheers!

I am looking a dataset of tweets or subreddits which contains the information of location and time period ideally between 2010-2020.

Hello can someone help me get the code for this please “Feature Programming for Multivariate Time Series Prediction ” and i searched on the internet and i couldn’t find.

I’m working on a project and I need some free food recipes, can’t really buy any data currently so I was wondering if the data is already out there before trying to scrape it.

Hello everyone, I am currently working on a project that involves using R-based statistical analysis to improve precision plant growth and farming in greenhouses. I have generated a data set for a few plants, but it is not very efficient as it is randomly generated. Therefore, I am wondering if there is a real-life data set available for a few plants that includes sensor readings for temperature, humidity, and light intensity. If anybody has accomplished anything similar to this, I would very appreciate hearing about it.

This is a dataset including text from South Africa’s 84-page case submitted to the International Court of Justice accusing Israel of committing genocide against the people of Gaza.

Link to Dataset: https://www.kaggle.com/datasets/samerhijjazi/south-africa-genocide-case-against-israel-2324

Original source: https://www.pbs.org/newshour/world/read-the-full-application-bringing-genocide-charges-against-israel-at-un-top-court

I need dataset which have information like place attachment or like their favourite places for different kinds of people… The dataset should be small to moderately sized

Most people can agree that data is the new gold. There is a lot of valuable data that companies own that their customers, partners, or other companies could use and make money for both sides, so I am surprised there isn’t more data products out there especially for small-medium businesses.

Curious for the community’s thoughts on the biggest barriers of selling data (I guess both for data companies but also for other companies who just want to make extra revenue?)

I am looking for a data set that includes state-by-state data on the number of commercial pools and commercial elevators in the United States.

I have tried looking at government data state by state but there are a lot of inconsistencies and some states have no information available. I am looking to complete a project that requires me to look at all of the locations for pools and elevators.

Does anyone know where this data would exist? Any pointers or tips that anyone may have to lead me in the right direction would be greatly appreciated. TYIA!!

I wanted to build some AI projects in this domain by employing models like time-series forecasting, computer vision, probably some sort of NLP as well as classic techniques like regression, classification, clustering.

As the title says, I need a data set containing noisy medical images so that I can apply Denoising algorithms on em and maybe try new things. I have to convey the data set I would be using to my project guide by this Saturday and I am unable to find one. All the medical image data sets I find online are pure images. I want medical image data sets containing noisy images as well as the ground truth. Please help me someone.

Greetings,

I am looking for datasets on salinity, specifically on Bangladesh as my supervisor instructed me to do so. I have found few repositories that are paid. It would be helpful if I could find some free resources.

TIA

Looking for a smaller sample size, around n=100-1000 or so, w/ a small number of variables, one of which is an ordinal variable. Preference for csv or excel files, as well as preference for government, or University data, but not a stringent requirement. I’ve been looking for a few days on Kaggle & UC Irvine Machine learning repository & haven’t had much luck so far.

Working on a project for www.BuriedInWork.com. Thanks!

as mentioned in the title I am looking for a pixel arts data set consisting of artwork from old 2D games. if you know any sources which can help create such a data set please comment

I’m searching for an API, preferably free, or a dataset available for commercial use that provides streaming service information for a particular movie. I’ve come across the ReelGood API, which is priced at $95 per month, and the JustWatch API, but it’s only available for businesses, and you need to reach out to them. Are there any other alternatives you’re aware of? While a free option would be ideal, I’m open to checking out paid options as well.

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Does anyone know of any data on UK pet owners broken down by demographics? Age/locations/type of pet etc?

Looking for pharma data. I literally searched the dark web. Help would be appreciated, thanks.

Hello, everybody.
I’m interested in datasets from CCTV cameras that contain several kinds of distortions such as underexposure, overexposure, defocus and occlusion. Can someone please advise me non-synthetic datasets with such kind distortions?

Hello all, I am doing a project where I want to find the avg snowfall for each event over the last 15 years for over 400 locations. Any ideas would be appreciated

Hello everyone! I am looking for cat owners keen to help out with a research project, I am studying cats to see whether we can estimate their age just by their voices. If we manage to, this promises significant benefits in veterinary care, can aid rescue centres in creating accurate adoption profiles, and has potential implications for understanding the age demographics of feral cats.

It’s quick and simple – if you’re interested in helping out please send me a message and I will share more info & instructions 🙂

Any contribution is invaluable and will help gain insight into the development of age-related vocalisation patterns in cats!

Thank you!

Hello, I am a PhD student working on a research project on labor economics. I am looking for job posting data (including job descriptions and requirements), especially historical data from the past 5 to 10 years (preferably). Are there any places I can find data like that? I currently know some job listing APIs, but they only have active postings, and some data consulting firms have historical data, but it costs more than 20k 🙁

Hey r/datasets! I wrote a bit about how we use GitHub to scrape air quality data from openAQ and store the resulting data in the same GitHub repo itself:

https://about.xethub.com/blog/simple-etl-pipelines-git-xet-github-actions

I really enjoyed writing this and it’s quite fun to set up new scrapers in just an hour or so thanks to GitHub Actions.