Help Center/Getting started/What is Dataset Finder

What is Dataset Finder

Finding the right training data is hard. There are tens of thousands of datasets scattered across Hugging Face, Kaggle, academic pages, and countless other sources, and most of your time goes into sifting through that sea of options, reading papers, and second-guessing quality before you've trained anything at all.

Dataset Finder makes that easy. Instead of hunting through directories and keyword filters, you tell it what you're trying to build, whether that's an AI agent, a fine-tuned LLM, a computer vision model, or anything else, and it surfaces the datasets that actually fit, from a catalogue of tens of thousands of thoroughly curated AI datasets.

But it's more than a search engine. Dataset Finder is your AI training data workspace: a single place to find existing data, understand whether it's any good, and organize it into projects.

And when the data you need doesn't exist yet, you can order it. Through Custom Dataset, you commission bespoke data collection, labeling, and annotation — bounding boxes, segmentation, entity extraction, transcription, preference data, and more — built to your exact specification by Innovatiana's in-house expert annotators. You define the spec and guidelines; we handle the labeling, QA, and delivery. No labeling crowd to manage, no separate vendor, and it all happens inside the same app.

What you can do

Discover

Describe your AI use case in plain language and get curated datasets ranked and scored for relevance, no keyword guessing.

Understand

Every dataset comes with a detailed card: quality scores, licence, biases, limitations, and how to use it, so you don't have to read research papers to judge it.

Organize

Save datasets, group them into AI projects, track experiments and compliance, and start from community AI recipes in your Dataset Workspace.

Commission & annotate

When the data doesn't exist yet, order a custom dataset with your credits. Define the spec and labeling guidelines, and our expert annotators handle collection, labeling, QA, and delivery.

How Dataset Finder handles data

This is worth being explicit about: Dataset Finder does not host, store, or redistribute datasets. We are a curated catalogue and a workspace on top of the data that already exists in the world — not a file repository.

What we maintain is the metadata and the intelligence around each dataset: where it lives, who published it, its licence, size and format, quality scores, biases and limitations, suitable use cases and models. When you bookmark a dataset, your workspace stores that record and your own notes — never the files. ↗ Open Dataset Source sends you to the origin (Hugging Face, an academic page, a government portal, or your own internal storage) to download or access it under its own licence terms.

Curated, not scraped

Datasets are reviewed and enriched by our team rather than dumped in from a crawler, so what you see has been judged worth your time.

Continuously updated

We refresh the catalogue on an ongoing basis — new datasets, corrected metadata, updated licences and scores — so the information doesn't go stale.

You stay in control

No files pass through us, so your own data never leaves your storage. Licence terms remain between you and the dataset's publisher.

You'll see this reflected throughout the app. Adding a dataset by hand says "Only metadata is stored — no file upload needed", and every dataset card carries a Licence field and a Licence check so you can confirm what you're allowed to do with it before you use it. Always review the source's licence yourself before training on it.

The one exception is custom data orders: when you commission a dataset, our team produces and delivers that data to you directly, under whatever terms you agree.