Juliakaczor Accents Unplugged Eval

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

qhjqhj00 c8205c0 950 B Updated 3 repo stars

File contents

juliakaczor-accents-unplugged-eval

Metric juliakaczor/accents_unplugged_eval from the HuggingFace evaluate library.

When to invoke

User asks to compute juliakaczor/accents_unplugged_eval or wants HF evaluate's canonical version.

Recipe

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

Don'ts

  • Don't assume your in-house juliakaczor/accents_unplugged_eval 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/juliakaczor-accents-unplugged-eval commit c8205c0bbe

Frequently asked questions

npx skillmds add qhjqhj00/juliakaczor-accents-unplugged-eval