digital-health-clinical-asr-eval
CommunityScore clinical ASR manifests and guide routing.
Authorsayalinvidia
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill scores NeMo-format clinical ASR manifests, generates a five-section leaderboard, and provides routing guidance to decide subsequent steps (build, finetune, or stop) based on evaluation results.
Core Features & Use Cases
- Leaderboard generation: Produces a fixed five-section Markdown leaderboard (Headline, KER by entity_category, KER by ipa_source, KER by noise_level, Per-term KER).
- Inline scoring: Computes WER, CER, KER (strict contiguous term matching), and SER using a pure-Python pipeline with inlined normalization and distance metrics.
- Post-eval routing: Applies the clinical decision tree to suggest next actions after evaluation.
- Reference artifacts: Outputs per-sample results and a per-skill eval report, aligned with NVSkills-Eval workflows.
Quick Start
Provide a manifest.jsonl to the skill to generate the leaderboard and scoring report.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
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Please help me install this Skill: Name: digital-health-clinical-asr-eval Download link: https://github.com/sayalinvidia/sayali-skills-test/archive/main.zip#digital-health-clinical-asr-eval Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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