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datalab

datalab

Route end-to-end dataset auditing with cleanlab.Datalab.

Independent GitHub snapshot · Automated classification · Original documentation governs

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name: datalab description: "Route end-to-end dataset auditing with cleanlab.Datalab." metadata: disco-role: operating disable-model-invocation: true license: Apache 2.0

datalab

Use this sub-skill when the user wants a unified dataset audit with cleanlab.Datalab.

Use it for

  • One-pass auditing across multiple issue families.
  • Datalab(...), find_issues(...), report(...), get_issues(...), and get_issue_summary(...).
  • Classification, regression, and multilabel Datalab tasks.
  • Optional image audits with image_key and CleanVision.
  • Custom IssueManager workflows registered into Datalab.

Route elsewhere

Core router facts

  • Datalab accepts task="classification", task="regression", and task="multilabel".
  • find_issues() accepts pred_probs, features, knn_graph, and issue_types.
  • knn_graph wins when both knn_graph and features are provided.
  • issue_types=None means use the task default set; issue_types={} means do nothing.
  • report() prints to stdout and does not return a report string.
  • get_issue_summary() is the dataset-level view; get_issues() is the per-example view.
  • spurious_correlations is image-only and lives in get_info("spurious_correlations"), not in issue_summary.

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