My Datasets
The My Datasets tab is your workspace's inventory of datasets worth tracking, shared with everyone you've invited. Datasets arrive here two ways:
- Bookmark from search — select Save on any dataset card and it appears here for the whole workspace.
- Add manually — select ＋ Add Dataset to enter one yourself.
Adding a dataset
＋ Add Dataset opens a short form. It states it plainly at the top: only metadata is stored — no file upload needed. You're registering a pointer to the data plus your own notes, not moving the data anywhere.
Choose a source type and say where the data lives:
- Hugging Face — paste the dataset path (for example teknium/OpenHermes-2.5 or datasets/squad)
- Private / Internal — give an internal path or endpoint for data you host yourself
Then fill in a dataset name (required), and optionally its Status, Data Type, a short description, and any notes on preprocessing, limitations, or known issues. Select Add to Workspace to save it.
Afterwards you can enrich the record with the same catalogue fields you see on a dataset card: provider, licence, category, language, domain relevance, keywords, file format, sizes, dimensionality, list of labels, class distribution, source reliability, PII content, quality scores, use cases, models, limitations, biases, and a Q&A. Anything you don't know can be left blank.
Your own fields
On top of the catalogue data, every saved dataset carries fields that are yours to manage:
| Field | What it's for |
|---|---|
| Status | Where the dataset stands in your work (e.g. in use, candidate, approved, flagged) |
| Notes | Your own notes on the dataset |
| Tags | Labels to organize and filter |
Finding datasets in your library
As your library grows, narrow it down with the bar across the top: Search my datasets… for a free-text match, then filter by Status, Source, and Data Type. The dataset count sits on the right, next to ＋ Add Dataset.
Working with a saved dataset
Open any dataset to see its full record on the right. It's organized into tabs — Description, Metadata, Analysis, Responsible AI, Q&A, My Notes, and Projects — with a badge row showing its status (a dropdown you can change), its source (Private / Internal or DatasetFinder), and its data type.
From the header you can ✎ Edit its fields, ＋ Link to Project to attach it to one of your AI projects, ↗ Open Dataset Source to go to the data at its origin, or delete it from the workspace.