Single classification
Send one response and see the result plus the raw API exchange.
Dataset viewer
Browse a dataset and the concern each response should be classified as. Read-only — nothing is sent to a model.
Add a dataset
Upload a CSV and it's saved into the datasets/ folder — ready to view here and run on the Run Tests tab.
How to format the CSV
- The first row must be the header id,text,labels.
- id — a short identifier (e.g. T01).
- text — the survey response. Wrap it in "double quotes" if it contains a comma.
- labels — the concern(s) it should be classified as, comma-separated. Leave empty for a benign response.
Example:
id,text,labels T01,"My supervisor belittles me in every meeting.",bullying T02,"Great year overall, felt really supported.", T03,"I can't go on and work stress makes it worse.","suicide_risk,mental_health"
Recognised labels (each gets its own colour; any others still work, shown in grey): suicide_risk, mental_health, bullying, sexual_harassment, racism, homophobia, transphobia, stress, excessive_workload
Run tests
Run one or more datasets through a model. Live per-row timing and match status; metrics + a saved CSV at the end.
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Run history
Every saved run (also written as CSV in the runs/ folder).
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Settings
Connection, the models installed on the server, and the raw API logs.
Connection
Prompt sent to the model
read-only — mirrors what the API sendsLoading…
Models
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