66 lines
1.6 KiB
JSON
66 lines
1.6 KiB
JSON
{
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"artifact": "AI_EVALUATION_V1",
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"task": "INVALID_NCM candidate selection",
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"pipeline": "candidate_generation -> provider_selection -> validator",
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"provider": "baseline",
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"model": "baseline-deterministic-v1",
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"prompt_version": "ai-semantic-v1",
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"dataset_versions": {
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"ncm": "3abc0d2eb2501bbd0cc3f5e0ee3774d33f091ea305e8127ee020e4009878987e"
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},
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"k": 10,
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"eval_total": 200,
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"metrics": {
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"EXACT_MATCH": 2,
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"WRONG_SELECTION": 164,
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"NONE_WHEN_KNOWN": 34,
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"INVALID_OUTPUT": 0,
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"RECALL_AT_K": 11
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},
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"accuracy_exact_match": 0.01,
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"recall_at_k": 0.055,
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"by_segment": {
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"base_testes": {
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"EXACT_MATCH": 0,
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"WRONG_SELECTION": 27,
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"NONE_WHEN_KNOWN": 13,
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"INVALID_OUTPUT": 0,
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"RECALL_AT_K": 2,
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"TOTAL": 40
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},
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"construcao": {
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"EXACT_MATCH": 1,
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"WRONG_SELECTION": 39,
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"NONE_WHEN_KNOWN": 0,
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"INVALID_OUTPUT": 0,
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"RECALL_AT_K": 4,
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"TOTAL": 40
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},
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"mercado": {
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"EXACT_MATCH": 1,
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"WRONG_SELECTION": 35,
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"NONE_WHEN_KNOWN": 4,
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"INVALID_OUTPUT": 0,
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"RECALL_AT_K": 2,
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"TOTAL": 40
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},
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"moda": {
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"EXACT_MATCH": 0,
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"WRONG_SELECTION": 35,
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"NONE_WHEN_KNOWN": 5,
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"INVALID_OUTPUT": 0,
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"RECALL_AT_K": 0,
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"TOTAL": 40
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},
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"restaurante": {
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"EXACT_MATCH": 0,
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"WRONG_SELECTION": 28,
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"NONE_WHEN_KNOWN": 12,
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"INVALID_OUTPUT": 0,
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"RECALL_AT_K": 3,
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"TOTAL": 40
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}
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},
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"cost_usd": 0.0,
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"note": "baseline provider (deterministic, zero-cost): measures the pipeline floor; rerun with a real provider once credentials exist"
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} |