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Datasets

Overview​

The Datasets page lets you manage all datasets within your current project. From here, you can view, search, filter, and take actions on individual datasets — including launching experiments directly from the dataset view.

You can access Datasets from:

  • The top navigation tabs, or
  • The Datasets card on the homepage of a project

view-datasets

List datasets​

When you open the Datasets page, you’ll see a table showing all datasets in the current project.

Table columns​

Each row represents one dataset and includes:

  • Name
  • Number of rows
  • File size (e.g. KB, MB)
  • File type (e.g. CSV, Parquet)
  • Created date

You can:

  • Search by name
  • Search by file type
  • Customize columns using the column visibility toggle (top-right of the table) toggle-dataset-view

Edit dataset​

Click the Edit button (top-left) to:

  • Select multiple datasets
  • Bulk delete selected datasets

edit-dataset

Use the Cancel button (bottom of the screen) to exit edit mode.

Row actions​

Each dataset row includes a dropdown menu with:

  • Rename — opens a rename dialog
  • Delete — removes the dataset from the project

Add new dataset​

Click the ➕ New Dataset button (top of the page) to upload your own data.

You’ll be taken to a new screen where you can:

  • Name your dataset (optional — a default name will be auto-generated if left blank)
  • Upload a file via drag-and-drop or file picker

Supported file formats​

  • .csv — Comma-separated values
  • .parquet or .pq — Parquet format
  • .json — JSON structured data
info
  • Datasets should contain at least one column of text data — this platform is designed for fine-tuning large language models, so text input is expected.
  • If your dataset contains only input text (without labels), you can generate outputs using the Data Generation feature before fine-tuning.

Once uploaded, you’ll be returned to the Datasets page and your new dataset will appear in the list.

Use a demo dataset​

If you don’t have a dataset handy, you can start with one of our pre-configured demo datasets.

On the New Dataset screen, scroll down to find:

“…or get started quickly with our demo datasets”

Clicking any of the demos will immediately import that dataset into your project.

demo-datasets

These demos cover a variety of tasks, including:

  • Topics for Data Generation
  • Text-to-SQL
  • Classification and other NLP use cases
Note

The specific demos available may change over time — they’re designed to help you quickly test and explore LLM fine-tuning in the platform.

After importing a demo, you’ll be redirected back to the Datasets list where you can explore and use it like any other dataset.

Dataset overview page​

Clicking on a dataset opens its Overview page.

Header actions​

At the top of the page:

  • Rename the dataset via the edit icon next to the name
  • Create Experiment to kick off a fine-tuning run using this dataset
  • Delete the dataset

Metadata summary​

Right below the header, you’ll see metadata about the dataset:

  • File size
  • Row and column count
  • Token count (total tokens in the dataset)
  • Created date
  • Number of experiments launched using this dataset

Column details​

Scroll down to view the Column Details section:

  • Each column is listed with:
    • Column name
    • Max token length for that column (useful for prompt planning)
  • You can collapse/expand this section as needed

Dataset sample​

Below the column details is the Dataset Sample table:

  • Shows up to 20 preview rows
  • You can expand individual rows to view full text if it’s truncated
  • Especially helpful for verifying formatting and text content in large-language tasks
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