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Prepare data you can evaluate

Understand formats, inspect quality, correct labels, and keep versions explicit.

5 guides

What you’ll learn

You will have a reviewed data and label basis for testing, with limitations kept visible.

Before you start

Sample files and any available reference annotations.

Your path

  1. 1

    Import a Dataset

    Inspect samples, task meaning, labels, and coverage before testing.

  2. 2

    Supported tasks and formats

    Match the annotation meaning to the task you intend to evaluate.

  3. 3

    Check Dataset quality

    Use findings to decide what needs inspection or correction.

  4. 4

    Label and correct samples

    Publish validated annotations without replacing earlier evidence.

  5. 5

    Keep files and versions identifiable

    Preserve the source behind later comparisons and reviews.