[
  {
    "title": "WikiFact",
    "header": [
      {
        "value": "Model",
        "markdown": false,
        "metadata": {}
      },
      {
        "value": "EM",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\nQuasi-exact match: Fraction of instances that the predicted output matches a correct reference up to light processing.",
        "markdown": false,
        "lower_is_better": false,
        "metadata": {
          "metric": "EM",
          "run_group": "WikiFact"
        }
      },
      {
        "value": "Denoised inference time (s)",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\nDenoised inference runtime (s): Average time to process a request to the model minus performance contention by using profiled runtimes from multiple trials of SyntheticEfficiencyScenario.",
        "markdown": false,
        "lower_is_better": true,
        "metadata": {
          "metric": "Denoised inference time (s)",
          "run_group": "WikiFact"
        }
      },
      {
        "value": "# eval",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\n# eval: Number of evaluation instances.",
        "markdown": false,
        "metadata": {
          "metric": "# eval",
          "run_group": "WikiFact"
        }
      },
      {
        "value": "# train",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\n# train: Number of training instances (e.g., in-context examples).",
        "markdown": false,
        "metadata": {
          "metric": "# train",
          "run_group": "WikiFact"
        }
      },
      {
        "value": "truncated",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\ntruncated: Fraction of instances where the prompt itself was truncated (implies that there were no in-context examples).",
        "markdown": false,
        "metadata": {
          "metric": "truncated",
          "run_group": "WikiFact"
        }
      },
      {
        "value": "# prompt tokens",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\n# prompt tokens: Number of tokens in the prompt.",
        "markdown": false,
        "metadata": {
          "metric": "# prompt tokens",
          "run_group": "WikiFact"
        }
      },
      {
        "value": "# output tokens",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\n# output tokens: Actual number of output tokens.",
        "markdown": false,
        "metadata": {
          "metric": "# output tokens",
          "run_group": "WikiFact"
        }
      },
      {
        "value": "# trials",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\n# trials: Number of trials, where in each trial we choose an independent, random set of training instances.",
        "markdown": false,
        "metadata": {
          "metric": "# trials",
          "run_group": "WikiFact"
        }
      }
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            "wikifact:k=5,subject=currency,model=EleutherAI_pythia-2.8b",
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            "wikifact:k=5,subject=instance_of,model=EleutherAI_pythia-2.8b",
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            "wikifact:k=5,subject=part_of,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=place_of_birth,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=plaintiff,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=position_held,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=symptoms_and_signs,model=EleutherAI_pythia-2.8b"
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        },
        {
          "description": "10 matching runs, but no matching metrics",
          "markdown": false
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            "wikifact:k=5,subject=currency,model=EleutherAI_pythia-2.8b",
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            "wikifact:k=5,subject=place_of_birth,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=plaintiff,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=position_held,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=symptoms_and_signs,model=EleutherAI_pythia-2.8b"
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            "wikifact:k=5,subject=author,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=currency,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=discoverer_or_inventor,model=EleutherAI_pythia-2.8b",
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            "wikifact:k=5,subject=medical_condition_treated,model=EleutherAI_pythia-2.8b",
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            "wikifact:k=5,subject=place_of_birth,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=plaintiff,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=position_held,model=EleutherAI_pythia-2.8b",
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            "wikifact:k=5,subject=currency,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=discoverer_or_inventor,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=instance_of,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=medical_condition_treated,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=part_of,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=place_of_birth,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=plaintiff,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=position_held,model=EleutherAI_pythia-2.8b",
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            "wikifact:k=5,subject=currency,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=discoverer_or_inventor,model=EleutherAI_pythia-2.8b",
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            "wikifact:k=5,subject=medical_condition_treated,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=part_of,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=place_of_birth,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=plaintiff,model=EleutherAI_pythia-2.8b",
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            "wikifact:k=5,subject=currency,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=discoverer_or_inventor,model=EleutherAI_pythia-2.8b",
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            "wikifact:k=5,subject=currency,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=discoverer_or_inventor,model=EleutherAI_pythia-2.8b",
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            "wikifact:k=5,subject=medical_condition_treated,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=part_of,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=place_of_birth,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=plaintiff,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=position_held,model=EleutherAI_pythia-2.8b",
            "wikifact:k=5,subject=symptoms_and_signs,model=EleutherAI_pythia-2.8b"
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    ],
    "links": [
      {
        "text": "LaTeX",
        "href": "benchmark_output/runs/classic_pythia-2.8b-step2/groups/latex/wikifact_wikifact.tex"
      },
      {
        "text": "JSON",
        "href": "benchmark_output/runs/classic_pythia-2.8b-step2/groups/json/wikifact_wikifact.json"
      }
    ],
    "name": "wikifact"
  },
  {
    "title": "subject: author",
    "header": [
      {
        "value": "Model",
        "markdown": false,
        "metadata": {}
      },
      {
        "value": "EM",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\nQuasi-exact match: Fraction of instances that the predicted output matches a correct reference up to light processing.",
        "markdown": false,
        "lower_is_better": false,
        "metadata": {
          "metric": "EM",
          "run_group": "WikiFact"
        }
      },
      {
        "value": "Denoised inference time (s)",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\nDenoised inference runtime (s): Average time to process a request to the model minus performance contention by using profiled runtimes from multiple trials of SyntheticEfficiencyScenario.",
        "markdown": false,
        "lower_is_better": true,
        "metadata": {
          "metric": "Denoised inference time (s)",
          "run_group": "WikiFact"
        }
      },
      {
        "value": "# eval",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\n# eval: Number of evaluation instances.",
        "markdown": false,
        "metadata": {
          "metric": "# eval",
          "run_group": "WikiFact"
        }
      },
      {
        "value": "# train",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\n# train: Number of training instances (e.g., in-context examples).",
        "markdown": false,
        "metadata": {
          "metric": "# train",
          "run_group": "WikiFact"
        }
      },
      {
        "value": "truncated",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\ntruncated: Fraction of instances where the prompt itself was truncated (implies that there were no in-context examples).",
        "markdown": false,
        "metadata": {
          "metric": "truncated",
          "run_group": "WikiFact"
        }
      },
      {
        "value": "# prompt tokens",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\n# prompt tokens: Number of tokens in the prompt.",
        "markdown": false,
        "metadata": {
          "metric": "# prompt tokens",
          "run_group": "WikiFact"
        }
      },
      {
        "value": "# output tokens",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\n# output tokens: Actual number of output tokens.",
        "markdown": false,
        "metadata": {
          "metric": "# output tokens",
          "run_group": "WikiFact"
        }
      },
      {
        "value": "# trials",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\n# trials: Number of trials, where in each trial we choose an independent, random set of training instances.",
        "markdown": false,
        "metadata": {
          "metric": "# trials",
          "run_group": "WikiFact"
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          "href": "?group=wikifact&subgroup=subject%3A%20author&runSpecs=%5B%22wikifact%3Ak%3D5%2Csubject%3Dauthor%2Cmodel%3DEleutherAI_pythia-2.8b%22%5D",
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          "style": {
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        {
          "description": "1 matching runs, but no matching metrics",
          "markdown": false
        },
        {
          "value": 850.0,
          "description": "min=850, mean=850, max=850, sum=850 (1)",
          "style": {},
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        {
          "value": 5.0,
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        {
          "value": 0.0,
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    "links": [
      {
        "text": "LaTeX",
        "href": "benchmark_output/runs/classic_pythia-2.8b-step2/groups/latex/wikifact_wikifact_subject:author.tex"
      },
      {
        "text": "JSON",
        "href": "benchmark_output/runs/classic_pythia-2.8b-step2/groups/json/wikifact_wikifact_subject:author.json"
      }
    ],
    "name": "wikifact_subject:author"
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  {
    "title": "subject: currency",
    "header": [
      {
        "value": "Model",
        "markdown": false,
        "metadata": {}
      },
      {
        "value": "EM",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\nQuasi-exact match: Fraction of instances that the predicted output matches a correct reference up to light processing.",
        "markdown": false,
        "lower_is_better": false,
        "metadata": {
          "metric": "EM",
          "run_group": "WikiFact"
        }
      },
      {
        "value": "Denoised inference time (s)",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\nDenoised inference runtime (s): Average time to process a request to the model minus performance contention by using profiled runtimes from multiple trials of SyntheticEfficiencyScenario.",
        "markdown": false,
        "lower_is_better": true,
        "metadata": {
          "metric": "Denoised inference time (s)",
          "run_group": "WikiFact"
        }
      },
      {
        "value": "# eval",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\n# eval: Number of evaluation instances.",
        "markdown": false,
        "metadata": {
          "metric": "# eval",
          "run_group": "WikiFact"
        }
      },
      {
        "value": "# train",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\n# train: Number of training instances (e.g., in-context examples).",
        "markdown": false,
        "metadata": {
          "metric": "# train",
          "run_group": "WikiFact"
        }
      },
      {
        "value": "truncated",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\ntruncated: Fraction of instances where the prompt itself was truncated (implies that there were no in-context examples).",
        "markdown": false,
        "metadata": {
          "metric": "truncated",
          "run_group": "WikiFact"
        }
      },
      {
        "value": "# prompt tokens",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\n# prompt tokens: Number of tokens in the prompt.",
        "markdown": false,
        "metadata": {
          "metric": "# prompt tokens",
          "run_group": "WikiFact"
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      },
      {
        "value": "# output tokens",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\n# output tokens: Actual number of output tokens.",
        "markdown": false,
        "metadata": {
          "metric": "# output tokens",
          "run_group": "WikiFact"
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      },
      {
        "value": "# trials",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\n# trials: Number of trials, where in each trial we choose an independent, random set of training instances.",
        "markdown": false,
        "metadata": {
          "metric": "# trials",
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        {
          "description": "1 matching runs, but no matching metrics",
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        {
          "value": 850.0,
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          "value": 0.0,
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    "links": [
      {
        "text": "LaTeX",
        "href": "benchmark_output/runs/classic_pythia-2.8b-step2/groups/latex/wikifact_wikifact_subject:currency.tex"
      },
      {
        "text": "JSON",
        "href": "benchmark_output/runs/classic_pythia-2.8b-step2/groups/json/wikifact_wikifact_subject:currency.json"
      }
    ],
    "name": "wikifact_subject:currency"
  },
  {
    "title": "subject: discoverer_or_inventor",
    "header": [
      {
        "value": "Model",
        "markdown": false,
        "metadata": {}
      },
      {
        "value": "EM",
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        "lower_is_better": true,
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      },
      {
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