Doctorslimm Kaushiks Criteria

Compute DoctorSlimm/kaushiks_criteria via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of DoctorSlimm/kaushiks_criteria.

qhjqhj00 2f1ddda 910 B Updated 3 repo stars

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doctorslimm-kaushiks-criteria

Metric DoctorSlimm/kaushiks_criteria from the HuggingFace evaluate library.

When to invoke

User asks to compute DoctorSlimm/kaushiks_criteria or wants HF evaluate's canonical version.

Recipe

import evaluate
metric = evaluate.load("DoctorSlimm/kaushiks_criteria")
result = metric.compute(predictions=preds, references=refs)
print(result)

Don'ts

  • Don't assume your in-house DoctorSlimm/kaushiks_criteria matches HF — version conventions vary.
  • Many evaluate metrics have task-specific arguments (average=, lang=, model_type=); read the metric card before reporting numbers.

qhjqhj00/research-skills-pool/tree/main/skill-factory/output/doctorslimm-kaushiks-criteria commit 2f1ddda463

Frequently asked questions

npx skillmds add qhjqhj00/doctorslimm-kaushiks-criteria