{
  "@context": {
    "croissant": "http://mlcommons.org/croissant/",
    "schema": "https://schema.org/",
    "dct": "http://purl.org/dc/terms/"
  },
  "@graph": [
    {
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      "dct:conformsTo": "http://mlcommons.org/croissant/1.1",
      "schema:name": "repere-codameter / param_recommendation",
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      "croissant:input": {
        "@type": "schema:Dataset",
        "@id": "https://huggingface.co/datasets/gaia-hazlab/repere-codameter",
        "dct:conformsTo": "http://mlcommons.org/croissant/1.1",
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      "croissant:output": {
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        "@id": "https://huggingface.co/datasets/gaia-hazlab/repere-codameter#task-param_recommendation/output",
        "schema:description": "A JSON processing configuration (estimator, frequency band, coda window, stack length, reference, quality gate)."
      },
      "croissant:implementation": {
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        "@id": "https://huggingface.co/datasets/gaia-hazlab/repere-codameter#task-param_recommendation/implementation",
        "schema:description": "The model or agent under test. Repère runs it with and without a domain skill file; tools, budget and model are recorded per run in the leaderboard row."
      },
      "croissant:execution": {
        "@type": "croissant:ExecutionSpec",
        "@id": "https://huggingface.co/datasets/gaia-hazlab/repere-codameter#task-param_recommendation/execution",
        "schema:description": "Repeated runs per configuration (default 5, temperature 0.7); report mean score with a bootstrap interval."
      },
      "croissant:evaluation": {
        "@type": "croissant:EvaluationSpec",
        "@id": "https://huggingface.co/datasets/gaia-hazlab/repere-codameter#task-param_recommendation/evaluation",
        "schema:name": "dvv_recovery",
        "schema:description": "Scorer dvv_recovery runs the configuration through codameter on the case's synthetic data and grades the RMS error of the recovered dv/v against the imposed one, from 1 at or below rms_ceiling to 0 at rms_bad. Missing core keys or an invalid band, window or estimator score 0.",
        "schema:url": "https://github.com/mdenolle/repere",
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    {
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      "@id": "https://huggingface.co/datasets/gaia-hazlab/repere-codameter#task-dvv_series",
      "dct:conformsTo": "http://mlcommons.org/croissant/1.1",
      "schema:name": "repere-codameter / dvv_series",
      "schema:description": "Repère code_generation task. Each row of record set 'dvv_series' is one problem instance: give the prompt to the system under test, then score its answer with the row's scorer_spec.",
      "croissant:input": {
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        "dct:conformsTo": "http://mlcommons.org/croissant/1.1",
        "schema:name": "gaia-hazlab/repere-codameter"
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      "croissant:output": {
        "@type": "croissant:OutputSpec",
        "@id": "https://huggingface.co/datasets/gaia-hazlab/repere-codameter#task-dvv_series/output",
        "schema:description": "The recovered dv/v(t) series, one value per day."
      },
      "croissant:implementation": {
        "@type": "croissant:ImplementationSpec",
        "@id": "https://huggingface.co/datasets/gaia-hazlab/repere-codameter#task-dvv_series/implementation",
        "schema:description": "The model or agent under test. Repère runs it with and without a domain skill file; tools, budget and model are recorded per run in the leaderboard row."
      },
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      },
      "croissant:evaluation": {
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        "@id": "https://huggingface.co/datasets/gaia-hazlab/repere-codameter#task-dvv_series/evaluation",
        "schema:name": "dvv_series_regression",
        "schema:description": "Scorer dvv_series_regression grades the RMS error of the returned series against the imposed dv/v on the same scale (rms_ceiling to rms_bad); rms_bad is set so a no-change series scores about 0.",
        "schema:url": "https://github.com/mdenolle/repere",
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  ]
}