Sunhill Clip Score

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

qhjqhj00 dc6551e 822 B Updated 3 repo stars

File contents

sunhill-clip-score

Metric sunhill/clip_score from the HuggingFace evaluate library.

When to invoke

User asks to compute sunhill/clip_score or wants HF evaluate's canonical version.

Recipe

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

Don'ts

  • Don't assume your in-house sunhill/clip_score 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/sunhill-clip-score commit dc6551e123

Frequently asked questions

npx skillmds add qhjqhj00/sunhill-clip-score