Added a new MetricBasedNer that allows calculating entity similary using any Unitxt metric. #1860
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…ing any Unitxt metric. It is an. extension of CustomF1Fuzzy metric. Signed-off-by: Yoav Katz <[email protected]>
Signed-off-by: Yoav Katz <[email protected]>
Added example of using llm judge for NER tasks. Signed-off-by: Yoav Katz <[email protected]>
elronbandel
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Jul 14, 2025
Signed-off-by: Yoav Katz <[email protected]>
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Catalog prep 2 error still seem related |
oktie
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Jul 16, 2025
…ing any Unitxt metric. (#1860) * Added a new MetricBasedNer that allows calculating entity similary using any Unitxt metric. It is an. extension of CustomF1Fuzzy metric. Signed-off-by: Yoav Katz <[email protected]> * Updated test to check for partial matches Signed-off-by: Yoav Katz <[email protected]> * Added metric_based_ner to catalog. Added example of using llm judge for NER tasks. Signed-off-by: Yoav Katz <[email protected]> * Corrected test Signed-off-by: Yoav Katz <[email protected]> * Made FuzzyNer baackward compatible with past implementation. Signed-off-by: Yoav Katz <[email protected]> --------- Signed-off-by: Yoav Katz <[email protected]>
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It is an extension of CustomF1Fuzzy metric.
Example:
MetricBasedNer(metric="metrics.llm_as_judge.direct.watsonx.llama3_3_70b[criteria=metrics.llm_as_judge.direct.criteria.correctness_based_on_ground_truth,context_fields=ground_truth]")
metric.set_confidence_interval_calculation(False)
or
metrics.metric_based_ner[metric=metrics.llm_as_judge.direct.watsonx.llama3_3_70b[criteria=metrics.llm_as_judge.direct.criteria.correctness_based_on_ground_truth,context_fields=ground_truth]