Hpi Dhc Faireval

Compute hpi-dhc/FairEval via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of hpi-dhc/FairEval.

qhjqhj00 84189f7 806 B Updated 3 repo stars

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hpi-dhc-faireval

Metric hpi-dhc/FairEval from the HuggingFace evaluate library.

When to invoke

User asks to compute hpi-dhc/FairEval or wants HF evaluate's canonical version.

Recipe

import evaluate
metric = evaluate.load("hpi-dhc/FairEval")
result = metric.compute(predictions=preds, references=refs)
print(result)

Don'ts

  • Don't assume your in-house hpi-dhc/FairEval 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/hpi-dhc-faireval commit 84189f7b08

Frequently asked questions

npx skillmds add qhjqhj00/hpi-dhc-faireval