rulechef-savings: score NER/extraction traffic - #45
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Traffic rows shaped {text, llm_entities} were silently treated as
unanswered. The CLI now detects span traffic from the first row, builds
an NER task, and reports fidelity as span micro-F1 against llm_entities
(text+type match). Rows that don't match the detected shape are counted
and warned about.
Closes #19
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rulechef-savingsonly understood classification traffic; span traffic scored as unanswered. Now:llm_entities→ NER), with a warning counting rows that don't match the detected shape_match_entitiesused in evaluation)Supersedes #28, which implemented the same design but stalled without the contribution-rights attestation; this is an independent implementation with the mixed-shape warning added.
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