Preparing and Uploading Data
Get your prediction data into the right shape for a bias report.
The bias report analyses your model's real predictions. Garbage in, garbage out — here's the shape it needs.
Format
A CSV file with a header row. One row per prediction. You'll need at least:
- a prediction/outcome column — what the model decided (e.g.
hired,approved,score), - one or more protected attribute columns — the groups you want to compare (e.g.
gender,age_band,nationality), - ideally a ground-truth column — what the correct outcome actually was. Without it, metrics that need true outcomes (like equalized odds) can't be computed, and you'll get parity metrics only.
Uploading
- Open Dashboard → Upload / Bias Report.
- Drop in the CSV — you'll see a preview of the detected columns and row count.
- Select which column is the prediction and which are protected attributes.
- Generate the report.
Data hygiene and privacy
- Upload the minimum needed: predictions, attributes, outcomes. Leave names, emails, and IDs out — pseudonymise before export.
- A few hundred rows per group is a practical minimum; metrics on tiny groups are noise.
- Sample from production, not from a demo dataset — the report is only evidence if it reflects reality.
Bias reports are available on Starter (5/month) and unlimited on Pro. Your trial includes the Pro allowance.