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Halluc-Api-Intl-Segmenter

Hallucinationv2 — Resiliencehardscorer: rubric_json_metrics

Grounded answers under adversarial or missing-context prompts.

How it is scored

The model receives the prompt (and optional system message). The run uses scorer rubric_json_metrics with the JSON configuration below. Pass/fail and partial credit are determined entirely by that scorer against the model output; no human grading.

User prompt
Return JSON only with keys verdict, corrections, evidence. A response claims Intl.Segmenter always returns plain strings from segment(), so segment metadata such as index and isWordLike is unavailable. Correct the API claim.
Scorer config
{
  "metrics": {
    "accuracy": {
      "checks": [
        {
          "contains": [
            "Intl.Segmenter"
          ]
        },
        {
          "contains": [
            "segment objects"
          ]
        },
        {
          "contains": [
            "index"
          ]
        }
      ]
    },
    "fabricated": {
      "checks": [
        {
          "contains": [
            "plain strings"
          ]
        },
        {
          "contains": [
            "isWordLike"
          ]
        },
        {
          "contains": [
            "metadata"
          ]
        }
      ]
    }
  }
}
Run parameters

temperature

0

max_tokens

520

timeout (s)

120

type

scored

file

halluc-api-intl-segmenter.json

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