Ruchin Jaccard Similarity

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

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ruchin-jaccard-similarity

Metric Ruchin/jaccard_similarity from the HuggingFace evaluate library.

When to invoke

User asks to compute Ruchin/jaccard_similarity or wants HF evaluate's canonical version.

Recipe

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

Don'ts

  • Don't assume your in-house Ruchin/jaccard_similarity 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/ruchin-jaccard-similarity commit 3fb0ea6fed

Frequently asked questions

npx skillmds add qhjqhj00/ruchin-jaccard-similarity