Hi all! Looking to complete a project in which I need every city/zip in the UK accounted for. Struggling immensely to find the data. Any help would be awesome. Thanks!

Hello! I’m looking for a dataset of historical grocery store item prices, specifically at the promotional / sale / rewards card price (hopefully including details like if it was BOGO, 2 for 1, minimum or maximum purchase requirements, etc.).

I see quite a few price histories but nothing that specifies if it was on sale and what the deal was. And I’m sure grocery chains wouldn’t share this information.

Maybe the best path would be to scrape this data myself going forward?

Thoughts? TIA!

Hey everyone,

Just wanted to share this awesome find on Kaggle: “The Ultimate UFC Archive (1993-Present)” dataset. It’s a treasure trove of UFC data covering events, fights, fighters, and referees.

What’s Inside:

Event details Fight outcomes Fighter statistics

Why It’s Cool:

Detailed fight data In-depth fighter profiles Constantly updated

Whether you’re a data enthusiast, a die-hard fan or just curious about MMA, this dataset has something for everyone. Check it out and dive into the world of the UFC!

UFC dataset

Enjoy exploring!

NYC’s “Open Data” website allows you to quickly visualize the datasets right within your web browser. This includes a tabular view along with customizable graphs and charts:

https://data.cityofnewyork.us/d/k397-673e/visualization

Are there other websites that offer something similar for their respective public (and open source) datasets? I’m curious about the overall UI and UX these websites provide in hopes of drawing some inspiration for a website of my own one day.

Anyone know where hotel apps (hotels.com) would get its data from? Example would be Hotels.com I’m looking to gather availability dates and inventory.

I know that most apps will use API’s. I want to see if there is a single system where I can connect an app to that will pull hotel data from around the world inventory availability dates.

I’m currently working on a project to develop an application that can fetch the most recent posts from a provided company’s Facebook, Instagram, and Twitter profiles. The application also needs to perform sentiment analysis on the comments for these posts and create a notification system to alert users if any negative comments are detected.

I need to train the model based on dataset from Facebook, Instagram and Twitter but I can’t find what I need on github/kaggle

What?

More than 400,000 fiction and non-fiction book full-texts. Multiple languages, curated, deduplicated.

More than 6,000,000 scholarly publications, magazines, and manuals full-texts. Multiple languages, curated, deduplicated.

150,000,000 metadata records

Format

Zstd compressed file, JSON lines, one per book/publication.

abstract, content – description and content in markdown format

issued_at – time of issuing of the object (not of the record itself)

metadata – ISBNs, publishers, series etc

id – identifier in external systems, if applicable (i.e. DOI)

other fields should be self-descriptive

Download:

magnet:?xt=urn:btih:a904e660355c49006b2e7d43893d31bf3c2be9cc&dn=libstc2.jsonl.zst&tr=udp://tracker.opentrackr.org:1337/announce&tr=https://tracker1.ctix.cn:443/announce&tr=udp://open.demonii.com:1337/announce

I am an experienced data engineer and I have three free days next week.

If you have a dataset for which you would like to create a data pipeline for continuous ingestion, and you would like a dashboard built and/or AI-based Q&A on top of that, I am available to help. I will take on the project if it is interesting enough and if you can benefit from it – for free :).

The dashboard/Q&A would be made available at dataflick.dev ‘s free tier.

Let us see if there are some interesting usecases

Looking for Construction Schedule database that shows project location, start date, finish date and different activities to meet the finish date.

Hello i am looking for an api similar to wger . I integrated it in my project but only returns a list of 20 exercises and some of them have image missing. I need the following info in the api: exercise name, description, category, guide,image. I would really appreciate if someone can help me with this.

Hi all,
I’m looking to program a fun CLI tool in Rust that will take a string and then replace all of the words with a random synonym. I plan on implementing this using a sqlite3 package to make queries to an already existing (SQLite) database containing a bunch of synoyms.
The only issue now is that I can’t seem to find a page for said database, and writing one by hand sounds like a terribly daunting task 😅

Would somebody be able to help me find this?

I’m trying to find info on employment by sector and age but am having a hard time finding it.

I’d to get a breakdown of where young people work in Austin, TX to compare to El Paso, TX just to try to get some ideas on why El Paso loses so many young people to other cities and what kinds of industries are attracting them

I’ve found good data on different job sectors from the US Bureau of Labor Statistics, but it doesn’t break down by age range: https://www.bls.gov/oes/current/oes_12420.htm

Hi I’m looking for a dataset that has car theft data. I’m looking for make/model, time of theft, location, recovered(y/n), and details if possible. This is for a school project that I hope becomes a helpful tool to mitigate car thefts.

I reached out to the FBI and local PD, but haven’t received a response. I don’t care much for the location of the dataset but am prioritizing location of thefts.

This is kind of a weird thing I’m doing, but it’s to test out a theory. I need as many 50-state rankings of US states by any kind of criteria as I can get my hands on. Can be anything from ranked by size to ranked by baseballs per capita or something. Does anyone have any suggestions for places to look short of manual collection?

Hello, Im currently working on my academic thesis, I need refinitiv workspace access to gather esg data, The school granted me limited access and now im looking for someone who can help. Thank you

I’m looking to do a python-based data analysis and visualisation project. I was looking to focus on the data and metadata of most, if not all, available movies and TV series provided by the most popular streaming services.

I see most online projects use this kaggle source: https://www.kaggle.com/datasets/shivamb/netflix-shows/data

As nice as it is, it’s not as up to date as I would have liked, as it only goes up to 2021.

Is anyone aware or any other public, free dataset similar to the above which could fit my purpose?

I’m aware there are many sites such as https://flickmetrix.com/ and https://flixable.com/ which seem to have a large amount of movie’s data but I can’t seem to be able to find their source and/or if they have shared it publicly.

Thank you

Hey guys! I have noticed that there is not much in the realm of open source datasharing services, so I created a Django REST / React app that allows for upload, download, reviewing, etc, of files. Not sure if would be useful to people. Also, please feel free add features. This is meant to be an open source project that allows research labs / people to share and review datasets without needing to pay for any online subscriptions. https://github.com/lxaw/DataDock

Was talking with some of my classmates from undergrad and discussing our jobs/research. Something that we all still complain about is labeling data in spreadsheets.

Looked around online and found a whole host of data labeling tools from open source options (LabelStudio) to more advanced enterprise SaaS (Snorkel AI, Scale AI). Yet, no one I knew seemed to be using these solutions.

I kinda get it from an ease of use/cost stand point – as an undergrad researcher, it was way easier to just paste data into a spreadsheet and send it to my lab. But I’m currently considering doing a much larger body of work. Would love to hear people’s experiences with these other tools, and what they liked/didn’t like.

For context, doing a bunch of Large Language Model output labeling in the medical space (n = ~2000?).

Hello!

I have spent hours looking for a dataset that includes information over college courses + a description briefly describing the course.

I have had some luck having found thorough datasets explicit to certain colleges. Perhaps I can just use those and call it good; I assume most colleges have roughly the same courses, some differ slightly.

But before I continue my journey I just wanted to see if this community knows of any decent datasets in regards to college information including, but definitely not limited to, the majors and a brief description of the majors?

Hey there, I am learning apache spark and aws cloud. I am planning to make a project basically an ETL project using Glue. I want to perform transformations using spark but I haven’t came around any good dataset, it’s not like there are not datasets but I want a big dataset of thousands of rows and some under 10 columns, like I have found out some myself like UFO, World Bank etc either it is too big or it just not have a good source. Are there any fellow redditors who have worked on something similar or you just have a good Recommendation??

ICYMI: You can now get notified when any new code is released for a given paper or topic! Just install the code finder extension (Chrome: https://chromewebstore.google.com/detail/ai-code-finder-for-papers/aikkeehnlfpamidigaffhfmgbkdeheil | Firefox: https://addons.mozilla.org/en-US/firefox/addon/code-finder-catalyzex/ | Edge: https://microsoftedge.microsoft.com/addons/detail/get-papers-with-code-ever/mflbgfojghoglejmalekheopgadjmlkm), click on any bell/alert icon you come across while browsing the web and follow the next steps on the screen 🙂 Also, with alerts

get the latest developments in your area of interest delivered straight to your inbox. Author’s newest work: be the first to know when an author releases new papers.

I’m trying to look a the trends in the South Ontarios gas prices for each location (going as local as an individual gas station), but I can only find the gas price monthly averages. Any ideas where I can find historical data for individual gas stations? I know that Google and Apple Maps display them, but I’m not sure if they store historical data.

I’m currently researching how satellite imagery data (or any other type of Image data), especially hyperspectral and multispectral data, is priced by different companies. I’m particularly interested in how these companies determine the cost for various sectors like agriculture, mining, and environmental monitoring.

Here’s some context:

Service Tiers: Companies often offer different service tiers (e.g., tasking, archive access, subscription models).

Resolution and Coverage: Pricing seems to vary based on image resolution (e.g., 5-meter vs. sub-meter) and the area covered.

Applications: Different use cases might influence pricing (e.g., crop health monitoring, yield prediction, soil analysis).

Technology: Advances in satellite technology, such as deployable optics, might impact cost.

I’ve seen companies like Wyvern Space, Planet Labs, and Pixxel offering these services but haven’t found detailed public pricing information.

Could anyone share insights or resources on:

– General pricing strategies for satellite imagery (and image data in general) data and any approximate numbers?

– How factors like resolution, coverage area, and application affect pricing?

– Any case studies or examples from companies in this field?

Thanks in advance for your help!

I’m looking for a CSV file that has symptoms people have and if they have COVID or not for an AI prediction model.

Hi!
For a project of mine, I need to find multiple datasets which contain RGB images of ships (multiple ships in a single image) for a segmentation task.
I’d be grateful if you guys can recommend any.

Hello Everyone,

I am trying to find a dataset which contains the poverty rate at census tract level for 2010. Can anyone please let me know where can I get it.

Hi everyone! I wish to create a dataset with phrases depicting various levels of depression.

I am aware of the fact that I can easily scout through reddit posts and create a dataset, but I wish to create it using a model, which could give me an endless supply of “human-like” phrases which mimics actual people describing their depression.

I was thinking of maybe scraping through some medical journals which could give me some symptoms of depression and related issues, and then create a model which takes these symptoms and creates “human-like” phrases related to these symptoms, but am not sure how I could implement this.

Any help would be appreciated. Thanks a lot!