Hi I want to build a project where I can train model to look at the video footages of past UCL matches, before VAR was introduced, and flag a play as an offside/foul according to modern rules and using VAR. Does anyone know where I can find this dataset?

Hi Dataseters

I’ve asked LLMs and scoured .. github etc for projects to no avail, but ideally if anyone knows of a fact/dimension style open source schema model (not unlike BMC/Service Now logical data CDM models) with dimensions pre-populated with typical vendors/makes/models both on hardware/software dimensions. Ideally in Postgres/Maria .. but if in Oracle etc, that’s fine too, easy conversion.

Anyone who has Snow/Flexera/ServiceNow .. might build such a skeleton frame with custom tables for midrange/networking .. w UNSPC codes etc

Sure I can subscribe to big ITSM vendors, but ideally id just fork something the community has already built, then ETL/ELT facts in our own use. Also DIY, it’s like reinventing the wheel, im sure many of you have already built this…

Its a shot in the dark .. but just seeing if anyone has seen useful projects

thanks in advance

The dataset is here – https://www.statista.com/statistics/1420818/attendance-music-events-netherlands/

I would like to perform basic EDA on it, but any Statista dataset is locked under an insane paywall. Does anyone here a Statista account and is willing to help me out a bit? Much appreaciated!

I used to mix these up, but here’s the quick takeaway: BI is about overall business reporting, usually for execs and finance. Product analytics focuses on how users actually use the product and helps teams improve it.

Wrote a post that breaks it down more if you’re interested:

How do you separate them in your work?

Further adding to the/my Ousia Bloom an attempt to catalog not just what I think, but what and how I did so! It’s for sure not a real thing

I need polymarket data of users (pnl, %pnl, trades, market traded) if it is available, i see a lot of website to analyze these data but no api to download.

Hi r/datasets ,

I’m looking for datasets, either paid or unpaid, to create a benchmark for a specialised extraction pipeline.

Criteria:

• Recent (last ten years ideally)
• PDFs (don’t need to be tidy)
• Not redacted (as much as possible)

Document types:

• Supplier contracts (for goods not services)
• Invoices (for goods not services)
• Purchase Orders (for goods not services)

I’ve already seen: Atticus and UCSF Industry Document Library (which is the origin of Adam Harley’s dataset). I’ve seen a few posts below but they aren’t what I’m looking for. I’m honestly so happy to pay for the information and the datasets; dm me if you want to strike a deal.

I am trying to adjust an object detection model to classify the components of a PCB (resistors, capacitors, etc) but I am having trouble finding a dataset of PCBs from a birds eye view to train the model on. Would anyone happen to have one or know where to find one?

Hey everyone! I’m working on a university project where we’re trying to predict the direction of football penalty kicks based on the shooter’s body movement. To do that, we’re using pose estimation and machine learning on real-world footage.

Right now, I’m building a dataset of penalty shootouts — but I specifically need videos where the camera is placed behind the player, like the rear broadcast angle you usually see in World Cup coverage.

I already have all the penalty shootouts from the 2022 World Cup, but I’d love to collect more of this kind — from other tournaments or even club games. If you remember any videos (on YouTube or elsewhere) with that camera angle, please drop them here 🙏

Thanks in advance — you’d be helping a lot!

Would love to see some examples of quality prompts, maybe something structured with Meta prompting. Does anyone know a place from where to download those? Or maybe some of you can share your own creations?

hello! I wanted to share a tool that I created for making hand written fine tuning datasets, originally I built this for myself when I was unable to find conversational datasets formatted the way I needed when I was fine-tuning llama 3 for the first time and hand typing JSON files seemed like some sort of torture so I built a little simple UI for myself to auto format everything for me.

I originally built this back when I was a beginner so it is very easy to use with no prior dataset creation/formatting experience but also has a bunch of added features I believe more experienced devs would appreciate!

I have expanded it to support :
– many formats; chatml/chatgpt, alpaca, and sharegpt/vicuna
– multi-turn dataset creation not just pair based
– token counting from various models
– custom fields (instructions, system messages, custom ids),
– auto saves and every format type is written at once
– formats like alpaca have no need for additional data besides input and output as a default instructions are auto applied (customizable)
– goal tracking bar

I know it seems a bit crazy to be manually hand typing out datasets but hand written data is great for customizing your LLMs and keeping them high quality, I wrote a 1k interaction conversational dataset with this within a month during my free time and it made it much more mindless and easy

I hope you enjoy! I will be adding new formats over time depending on what becomes popular or asked for

Here is the demo to test out on Hugging Face
(not the full version/link at bottom of page for full version)

I need a dataset that’s not too complex or too simple to test a multi agent data science system that builds models for classification and regression.
I need to do some analytics and visualizations and pre-processing, so if you know any data that can helps me please share.
Thank you !

Hi!

I’m trying to find a database that displays a current scrape of all rotten tomatoes movies along with audience review and genre. I took a look online and could only find some incomplete datasets. Does anyone have any more recent pulls?

Hello everyone

If someone has icrg dataset up to 2016 or 2021 and can share with me please send to omarlamin123@atomicmail.io

Hi everyone, apologies if posts like these aren’t allowed.

I’m looking for a dataset that has data of all 50 US States such as GDP, CPI, population, poverty rate, household income, etc… in order to run a multivariate analysis.

Do you guys know of any that are from reputable reporting sources? I’ve been having trouble finding one that’s perfect to use.

Hi friends, I really would like some help into finding datasets that I can use to make insights into environmental footprints surrounding data centers and AI usage ramping up in the past few years. Preference to the last five-seven years if possible. It’s my first time really looking by myself, so any help would be appreciated. Thanks!

*TL;DR**:* Built a comprehensive geographic API that combines countries, airports, and cities in one fast endpoint. Looking for feedback from fellow developers!

What I Built
After getting frustrated with having to integrate 3+ different APIs for basic geographic data in my e-commerce projects, I decided to build something better:

**🌍 Geo Data Master API** – One API for all your geographic needs:
– ✅ 249 countries with ISO alpha-2/alpha-3 codes
– ✅ Major airports worldwide with IATA codes & coordinates
– ✅ 140K+ cities from GeoNames with population data
– ✅ Multi-language support with official status
– ✅ Real-time autocomplete for cities and airports

Tech Stack
– Backend: FastAPI (Python) for performance
– Caching: Redis for sub-millisecond responses
– Database: SQLite with optimized queries
– Infrastructure: Docker + NGINX + SSL
– Data Sources: ISO standards + GeoNames

Why I Built This
Working on traveling projects, I constantly needed:
– Country dropdowns with proper ISO codes
– Airport data for shipping calculations
– City autocomplete for address forms
– Language detection for localization

Instead of juggling REST Countries API + some airport service + city data, now it’s one clean API.

Performance

• Sub-millisecond response times (Redis caching)
• 99.9% uptime with monitoring
• Handles 10k+ requests/minute easily

What I’m Looking For

1. Feedback on the API design and endpoints
2. Use cases I might have missed
3. Feature requests from the community
4. Beta testers (generous free tier available)

I’ve made it available on RapidAPI – you can test all endpoints instantly without any setup. The free tier includes 500 requests/day which should be plenty for testing and small projects.

Try it out: https://rapidapi.com/omertabib3005/api/geodatamaster

Happy to answer any technical questions about the implementation!

Hey everyone, I’ve been experimenting with building datasets for chatbot training and decided to go all-in on this one for my first product –

🏦 BankBot 50K — a fully AI-generated dataset with 50,000 realistic customer support convos in the banking world.

It covers stuff like: • Lost cards / fraud alerts • Loan and credit questions • Password resets • General customer support issues

It’s designed for: • Fine-tuning LLMs (chatbots or assistants) • NLP projects • Intent classification • Prototyping AI customer service flows

Formats: JSON + CSV Includes: User + Agent turns, labeled topics, clean structure

If you’re building something with LLMs or just want some synthetic data to play with, grab it. The full 50K version is up for $25 if anyone needs a bigger set: BankBot 50K Gumroad

Open to feedback, questions, or collabs. Hope it helps someone out here 👇

I have an assessment that requires me to find a dataset from a reputable, open-access source (e.g., Pavlovia, Kaggle, OpenNeuro, GitHub, or similar public archive), that should be suitable for a t-test and an ANOVA analysis in R. I’ve attempted to explore the aforementioned websites to find datasets, however, I’m having trouble finding appropriate ones (perhaps it’s because I don’t know how to use them properly), with many of the datasets that I’ve found providing only minimal information with no links to the actual paper (particularly the ones on kaggle). Does anybody have any advice/tips for finding suitable datasets?

Hey everyone,

I’m working on a project to build an automated lead generation workflow, and I’m looking for a cost-effective API that can return a list of employees for a given company (ideally with names, job titles, LinkedIn URLs, etc.).

Important:

I’m not looking for Chrome extensions or tools that require manual interaction. This needs to be fully automated.

Has anyone come across an API (even a lesser-known one) that’s relatively cheap?

Any pointers would be hugely appreciated!

Thanks in advance.

Came by this dataset at Kaggle through a friend. I want to know where did this come from. The uploader seems to offer no help in that regard. Is anyone here familiar with it?

hi all, im looking for a dataset to train a machine learning model in detecting crypto mienrs traffic within a network

i tried to simulate my own using xmrig but im getting alot of troubles

can anyone guide me is there an online dataset or a solution i can use

Hello everyone ^{^} I’m working on creating an extensive dataset that consists of labeled memory dumps from all kinds of different videogames and videogame engines. The things I am labeling are variables for things like health, ammo, mana, position, rotation, etc. For the purpose of creating a proof of concept for a digital forensics tool that is capable of finding specific variables reliably and consistently with things like dynamic memory allocation and ASLR in place.

This tool will use AI pattern recognition combined with heuristics to do this, and I’m trying to collect as much diverse data as possible to improve accuracy across different games and engines.

I have already collected quite a bit of real data from multiple engines and games, and I’ve also created a tool that generates a lot of synthetic memory dumps in .bin format with .json files that contain the labels, but I realize that I might need some help with gathering more real data to supplement the synthetic data.

My request is therefore as follows; are there any people willing to assist me in creating this dataset?

I understand that commercially available games are intellectual property and that ToS often restrict reversing and otherwise tampering with the games so I’m mostly using sample projects for engines like Unreal Engine and Unity, or open source projects that allow for doing this.

Please feel free to send me a message or respond to this post if you are interested in helping or have any suggestions or tips for possible videogames I could legally use to gather data from.

Hi, I have developed my own SaaS website that delivers Reddit posts and comments based on a keyword or regex pattern you insert when submitting an order.

Its now early stage, and the orders are delivered semi-auto, but it will be super fast soon.

Sign up and get free 1000 credits. https://reddit-saas.com

Hey folks,

So I’ve been working on this project for a while called Fusedash.ai — it’s basically a data visualization and dashboard tool, but we’re trying to make it way more flexible and interactive than most existing platforms (think PowerBI or Tableau but with more real-time and AI stuff baked in).

The idea is that people with zero background in data science or viz tools can upload a dataset (CSV, API, Public resources, devices, whatever), and immediately get a fully interactive dashboard that they can customize — layout, charts, maps, filters, storytelling, etc. There’s also an AI assistant that helps you explore the data through chat, ask questions, generate summaries, interactions, or get recommendations.

We also recently added a kind of “canvas dashboard” feature that lets users interact with visual elements in real-time, kind of like youre working on a live whiteboard, but with your actual data.

It is still in active dev and there’s a lot to polish, but I’m really proud of where it’s heading. Right now, I’m just looking to connect with anyone who:

• has interesting datasets and wants to test them in Fusedash
• is building something similar or wants to collaborate
• has strong thoughts about where modern dashboards/tools are heading

Not trying to pitch or sell here — just putting it out there in case it clicks with someone. Feedback, critique, or just weird ideas very welcome 🙂

Appreciate your input and have a wonderful day!

Yandex has released YaMBDa, a large-scale open-source dataset comprising 4.79 billion user interactions from Yandex Music, specifically My Wave (its personalized real-time music feed).

The dataset includes plays, likes/dislikes, timestamps, and various track features. All data is anonymized, containing only numeric identifiers. Although sourced from a music platform, YaMBDa is designed for testing recommender algorithms across various domains — not just streaming services.

Recent progress in recommender systems has been hindered by limited access to large datasets that reflect real-world production loads. Well-known sets like LFM-1B, LFM-2B, and MLHD-27B have become unavailable due to licensing restrictions. With close to 5 billion interaction events, YaMBDa has now presumably surpassed the scale of Criteo’s 4B ad dataset.

Dataset details:

• Sizes available: 50M, 500M, and full 4.79B events
• Track embeddings: Derived from audio using CNNs
• Metadata: Includes track duration, album, artist, etc.
• is_organic flag: Differentiates organic vs. recommended actions
• Format: Parquet, compatible with Pandas, Polars, and Spark

Access:

• Dataset: HuggingFace
• Paper: arXiv

This dataset offers a valuable, hands-on resource for researchers and practitioners working on large-scale recommender systems and related fields.