We’re releasing Kanops. Open Access · Imagery (Retail Scenes v0): a curated set of retail in store photographs (multi-retailer, multiple years, seasonal “Halloween 2024”), intended for tasks like shelf/fixture detection, planogram reasoning, and merchandising classification alongside many other use cases, such as spatial awareness and detection and other use cases we haven’t thought of.

Our first dataset attempt!

Part of a 1m strong image dataset in totality.

• Size: ~10.8k images (v0)
• Format: folder-per-retailer/category; MANIFEST.csv, metadata.csv, checksums.sha256
• Privacy: all identifiable faces blurred; EXIF/IPTC owner/terms embedded
• License: evaluation-only (no redistribution of images or model weights derived exclusively from this data)
• Access: gated on HF (quick request form)

Hugging Face: https://huggingface.co/datasets/dresserman/kanops-open-access-imagery

(quiick load after access granted)

# pip install datasets

from datasets import load_dataset

ds = load_dataset(“imagefolder”, data_dir=”hf://datasets/dresserman/kanops-open-access-imagery/train”)

print(len(ds[“train”]))

Contact: HF Discussions on the dataset card or DM u/malctucker

I’m trying to get some stats on public domain texts, and need to find a way to automatically correlate a gutenburg book with its (possible) page on goodreads for a class. I thought I was told at one point that OpenLibrary had some way of knowing both, so I would be able to go through that but that doesn’t seem to be the case…

Does anyone know if there is some site that has this correlation already done? Or do I just need to do a search by title and author and hope everything comes up roses? In particular, I’m sort of worried I’ll get false hits with some of the more generic titles and end up with completely wrong genre and review data.

Hi everyone(:

I have a question and would really appreciate some advice. This might sound a little silly, but I’ve been wanting to ask for a while. I’m still learning about machine learning and datasets, and since I don’t have anyone around me to discuss this field with, I thought I’d ask here.

My question is: What kind of text datasets could be useful or valuable for training LLMs or for use in machine learning, especially for low-resource languages?

My purpose is to help improve my mother language (which is a low-resource language) in LLM or ML, even if my contribution only makes a 0.0000001% difference. I’m not a professional, just someone passionate about contributing in any way I can. I only want to create and share useful datasets publicly; I don’t plan to train models myself.

Thank you so much for taking the time to read this. And I’m sorry if I said anything incorrectly. I’m still learning!

As the title says, I wanted to create an attention tracker for one of my projects, however I’m struggling to find an appropiate dataset for it

I only require the model to detect whether you’re looking at the PC screen or not and also detect blinking, but other features are welcomed

Guys I have only 1 week left , I’m doing project called medical diagnosis summarisation using transformer model , for that I need a dataset that contains the long description as input and doctor related summary and also parent related summary as a target value based on the mode the model should generate the summary and also I need a guidance on how to properly train the model

Do you know of a source of high res satellite imagery ideally GeoTIFF files (or something similar I am not too savvy in this field).

Ideally for free.

I need to get a lot of it, and through API not manually.

Or maybe there are alternatives that I’m not aware of like images from aircrafts or something like that.

I need the images to be suitable for an AI to detect vehicle in them.

Problem/Goal: Hi everyone, I’m a psychology student and currently doing our data gathering for our thesis. And we need more thann 100 respondents/50 couples to answer our research questionnaires

For context: We need a minimum of 100 respondents for our study and we must accomplished it before October ends. If anyone fits in our criteria can you pm me pls plsss. Badly need anyone. We are just starting with our data gathering and our final defense po is next month na so nag rarush po kami.

This is our criteria po:

We’re looking for participants who are: ✅️ 18–26 years old ✅️ Residents of Pampanga (within its cities or municipalities) ✅️ Couples who are currently in an undefined romantic relationship or situationship ✅️ More than friends but not officially labeled or exclusive

And our research is entitled “Attachment Styles and Communication Patterns as Predictors of Relationship Commitment among Couples in Undefined Relationships.”

Thank you and have a lovely day! ✨️🍂

For my master’s thesis I am searching for gym exercising logs that include what exercise an individual has done, how many reps and sets and their weight. Potentially some more info if feasible. I’ve found plenty of datasets of just exercises that include their primary target muscles and what equipment is needed and such, but actual logs of users performing these exercising are scarce.

I have searched the internet for some time now, but can not seem to find any usable datasets besides one that includes logs from only one guy. Does anyone know of any datasets, or where I could potentially find these?

Thanks!

Need access to some physionet datasets as a present hs student.
Physionet requires the following steps

1. CITI Training: which I’ve completed through the MIT Affiliate option (as recommended by physionet). However under this question “We recommend providing an email address issued by Massachusetts Institute of Technology Affiliates or an approved affiliate, rather than a personal one like gmail, hotmail, etc. This will help Massachusetts Institute of Technology Affiliates officials identify your learning records in reports.” I had to put a gmail address because I don’t have an approved affiliate email id.
2. Credentialed Access: This is what I was mainly concerned about. It allows you to put independent researcher, but then asks for a reference. Who can I ask as a reference to complete the form?

Just wanted to know if its possible to access Physionet datasets as a high schooler and if anyone has done it before could they answer my questions.

I’m writing a thesis about how LLMs can correctly identify code smells. I would like to deal with this analysis on Datasets in which there are classes (possibly Java) whose Code Smells are already known.

I tried using the QScored dataset but couldn’t get it to work, and it seems to be out of use.

Can anyone recommend something else?

Hi everyone,

We’re looking for a reliable automotive data provider (API or database) that covers European markets and can supply vehicle history information.

We need access to structured vehicle data, ideally via API, including:

• Country of first registration
• Export information (re-registration in another country)
• General vehicle details: year, color, fuel type, engine capacity, power, drivetrain, gearbox
• Last known mileage (value + date)
• Mileage timeline (from service / inspection / dealer records)
• Damage history (details, estimated cost, date, mileage, repair cost)
• Total loss / salvage / flood / fire / natural disaster / permanent deregistration
• Vehicle photos (from listings, auctions, or damage documentation)
• Theft records (coverage across Europe)
• Active finance or leasing
• Commercial usage (e.g. taxi or fleet)
• CO₂ emissions
• Safety information
• Market valuation (average market price)
• Manufacturer recalls
• OEM build sheet (factory equipment list)

We’re open to commercial partnerships and can offer a commission for valid introductions or verified data sources.

If you know a provider, broker, or contact who can help, please DM me or comment below.

Thanks in advance!

I was originally going to ask if anyone who had a pitch book login could hook me up with sharing it for a moment but I realized I only need it for one specific thing so instead of someone could just let me know all of the information or like screenshot the information for me on the following page that would be really cool

https://pitchbook.com/profiles/company/721084-24

looking to run some experiments and need actual patient data

I’m trying to work on a machine learning project about detecting fake or scam real estate ads (like fake housing or rental listings), but I can’t seem to find any good datasets for it. Everything I come across is about credit card or job posting fraud, which isn’t really the same thing. I’m looking for any dataset with real estate or rental listings, preferably with a “fraud” or “fake” label, or even some advice on how to collect and label this kind of data myself. If anyone’s come across something similar or has any tips, I’d really appreciate it!

Working on a dataset for an LLM project and trying to extract structured info from a bunch of web sources. Got the scraping part mostly down, but maintaining the parsing is killing me. Every source has a slightly different layout, and things break constantly. How do you guys handle this when building training sets?

We’re building Datalis, a data-sharing platform that collects consent-verified, anonymised demographic and location data directly from users. All raw inputs are stripped and aggregated before storage — no personal identifiers, no resale.

The goal is to create ground-truth datasets that are ethically sourced and representative enough for AI fairness and model evaluation work.

We’re currently onboarding early users via waitlist: 👉 datalis.app

Would love to connect with anyone building evaluation tools or working on ethical data sourcing.

I’m looking for a good Arabic dataset for my friend’s graduation project on emotion classification. I already tried Arpanemo, but it requires a Twitter API, which makes it inconvenient. Most of the other Arabic emotion datasets I found are limited to only three emotion labels, which is too simple compared to something like Google’s GoEmotions dataset that has 28 emotion labels. If anyone knows a dataset with richer emotional variety or something closer to GoEmotions but in Arabic, I’d appreciate your help.

Hello!

I’ve tried Kaggle, Awesome Public Datasets (Github), Open Data Inception, KD Nuggets, etc. but can’t seem to find what I’m looking for. I’m kind of desperate to get my research study underway, so figured it’s worth a shot to ask here.

Specifically, I’m looking for anonymized usage log data such as timestamps of activity, session duration, and module completion rates, among others. I’m planning to use cluster analysis (using machine learning) to identify patterns of engagement with the intervention.

No specific sample size required, but the bigger the better. Interventions can be any medium (computer, app, website, etc.) or for any mental health disorder (anxiety, depression, eating disorder, insomnia, etc.).

Would appreciate any help or any leads! Thank you so much!

We are working on a computer vision project with one of its functions being detecting fainting or abnormal conditions. Any help would be appreciated.

I wonder if there are any datasets where I can type “holding hands” and instances of this from different movies show up as the search result.

Hey everyone 👋

I wanted to share a resource we’ve been working on that may help those who spend time hunting for open or synthetic datasets for AI/ML training, benchmarking, or research.

It’s called Opendatabay a searchable directory that aggregates and organizes datasets from various open data sources, including government portals, research repositories, and public synthetic dataset projects.

What makes it different:

• Lets you filter datasets by type (real or synthetic), domain, and license
• Displays metadata like views and downloads to gauge dataset popularity
• Includes both AI-related and general-purpose open datasets

Everything listed is open-source or publicly available no paywall or gated access.
We’re also working on indexing synthetic datasets specifically designed for AI model training and evaluation.

Would love feedback from this community especially around what metadata or filters you’d find most useful when exploring large-scale datasets.

(Disclosure: I’m part of the team building Opendatabay.)

I have got a beast of a dataset with about 2M business names and its got like 26000 categories some of the categories are off like zomato is categorized as a tech startup which is correct but on consumer basis it should be food and beverages and some are straight wrong and alot of them are confusing too But some of them are subcategories like 26000 is a whole number but on the ground it has a couple 100 categories which still is a shit load Any way that i can fix this mess as key word based cleaning aint working it will be a real help

❓[HELP] 4D-Humans / HMR2.0 Human3.6M eval images missing — can’t find official dataset

I’m trying to reproduce HMR2.0 / 4D-Humans evaluation on Human3.6M, using the official config and h36m_val_p2.npz.

Training runs fine, and 3DPW evaluation works correctly —
but H36M eval completely fails (black crops, sky-high errors).

After digging through the data, it turns out the problem isn’t the code —
it’s that the h36m_val_p2.npz expects full-resolution images (~1000×1000)
with names like:

“`

S9_Directions_1.60457274_000001.jpg

“`

But there’s no public dataset that matches both naming and resolution:

So the official evaluation .npz points to a Human3.6M image set that doesn’t seem to exist publicly. The repo doesn’t provide a download script for it, and even the HuggingFace or MKS0601 versions don’t match.

My question

Has anyone successfully run HMR2.0 or 4D-Humans H36M evaluation recently?

• Where can we download the official full-resolution images that match h36m_val_p2.npz?
• Or can someone confirm the exact naming / folder structure used by the authors?

I’ve already registered on the official Human3.6M website and requested dataset access,
but it’s been weeks with no approval or response, and I’m stuck.

Would appreciate any help or confirmation from anyone who managed to get the proper eval set.

The original download link for the MIT Blackbird Dataset (http://blackbird-dataset.mit.edu/) seems to be dead, and no one’s seeding it on the academic torrents (https://academictorrents.com/details/eb542a231dbeb2125e4ec88ddd18841a867c2656) either.