{
  "name": "LiveBench",
  "release_date": "2024-09-30",
  "subsets": {
    "2024-05": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_image_start"
      ],
      "task_type": "open_ended_qa",
      "score_pipeline": [
        "llm-judge"
      ],
      "score_params": {
        "rubric": "scale",
        "scale": [
          0,
          10
        ],
        "official_judge_model": "gpt-4o"
      },
      "score_protocol": {
        "reference": "lmms-eval@lmms_eval/tasks/live_bench/utils.py:66-68,82-92,160-186 (v1 judge; utils.py:164 reads doc['criteria']) — this is lmms-lab/LiveBench (live web-news screenshots), NOT Abacus/NYU text LiveBench nor OpenCompass LiveMMBench; GPT-4o rates every answer 0-10 against ground truth with the screenshot images attached; aggregate = mean(rating/10)*100 with subtask breakdown. NOTE: 2024-05 is not in the official live_bench.yaml task group (only 2406/2407/2409).",
        "note": "Source config 2024-05 does not ship a `criteria` column at all (verified 2026-07-07: lmms-lab/LiveBench config 2024-05 features lack `criteria`; the column first appears in 2024-06), so the official judge prompt cannot be fully populated for this month and no `criteria` extra is carried. Official judge is multimodal (sees the screenshots). 0-10 rating averaged then scaled x10 to 0-100."
      },
      "prompt_template": "{% for _ in range(n_images) %}<image>{% endfor %}{{ question }}",
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://huggingface.co/datasets/lmms-lab/LiveBench",
        "notes": "Tier 1: LiveBench live-web VQA, monthly config 2024-05; single-prompt eval per dataset card."
      },
      "mapping_from_source": {
        "media": {
          "from": "images",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "id"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "subtask": {
            "from": "subtask"
          },
          "website": {
            "from": "website"
          },
          "data_generator": {
            "from": "data_generator"
          },
          "n_images": {
            "from": "n_images"
          }
        },
        "source": {
          "format": "json",
          "url": {
            "2024-05_test": "https://huggingface.co/datasets/lmms-lab/LiveBench"
          }
        }
      }
    },
    "2024-06": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_image_start"
      ],
      "task_type": "open_ended_qa",
      "score_pipeline": [
        "llm-judge"
      ],
      "score_params": {
        "rubric": "scale",
        "scale": [
          0,
          10
        ],
        "official_judge_model": "gpt-4o",
        "judge_inputs": [
          "criteria"
        ]
      },
      "score_protocol": {
        "reference": "lmms-eval@lmms_eval/tasks/live_bench/live_bench.yaml + live_bench_2406.yaml (includes live_bench_template_yaml -> utils.py) — utils.py:66-68 judge prompt interpolates per-sample `criteria`, utils.py:164 reads doc['criteria']; GPT-4o rates every answer 0-10 against ground truth with the screenshot images attached; aggregate = mean(rating/10)*100.",
        "note": "Per-sample `criteria` column is carried as extra (fixed 2026-07-07; the earlier mm-eval copy omitted it). Official judge is multimodal (sees the screenshots) — a text-only judge deviates from official. 0-10 rating averaged then scaled x10 to 0-100. Some rows are MCQ/fill-in-the-blank phrased inline but all are judged with the same 0-10 GPT rubric."
      },
      "prompt_template": "{% for _ in range(n_images) %}<image>{% endfor %}{{ question }}",
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://huggingface.co/datasets/lmms-lab/LiveBench",
        "notes": "Tier 1: LiveBench live-web VQA, monthly config 2024-06; single-prompt eval per dataset card."
      },
      "mapping_from_source": {
        "media": {
          "from": "images",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "id"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "subtask": {
            "from": "subtask"
          },
          "website": {
            "from": "website"
          },
          "data_generator": {
            "from": "data_generator"
          },
          "n_images": {
            "from": "n_images"
          },
          "criteria": {
            "from": "criteria"
          }
        },
        "source": {
          "format": "json",
          "url": {
            "2024-06_test": "https://huggingface.co/datasets/lmms-lab/LiveBench"
          }
        }
      }
    },
    "2024-07": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_image_start"
      ],
      "task_type": "open_ended_qa",
      "score_pipeline": [
        "llm-judge"
      ],
      "score_params": {
        "rubric": "scale",
        "scale": [
          0,
          10
        ],
        "official_judge_model": "gpt-4o",
        "judge_inputs": [
          "criteria"
        ]
      },
      "score_protocol": {
        "reference": "lmms-eval@lmms_eval/tasks/live_bench/live_bench.yaml + live_bench_2407.yaml (includes live_bench_template_yaml -> utils.py) — utils.py:66-68 judge prompt interpolates per-sample `criteria`, utils.py:164 reads doc['criteria']; GPT-4o rates every answer 0-10 with the screenshot images attached; aggregate = mean(rating/10)*100.",
        "note": "Per-sample `criteria` column is carried as extra (fixed 2026-07-07; the earlier mm-eval copy omitted it). Official judge is multimodal (sees the screenshots) — a text-only judge deviates from official. 0-10 rating averaged then scaled x10 to 0-100."
      },
      "prompt_template": "{% for _ in range(n_images) %}<image>{% endfor %}{{ question }}",
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://huggingface.co/datasets/lmms-lab/LiveBench",
        "notes": "Tier 1: LiveBench live-web VQA, monthly config 2024-07; single-prompt eval per dataset card."
      },
      "mapping_from_source": {
        "media": {
          "from": "images",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "id",
          "note": "Composite key {source_id}_q{occurrence_index} produced by walking rows in upstream order (string-sorted by id, stable) and counting per-source-id occurrences (1-indexed); the source config ships duplicate `id` values."
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "subtask": {
            "from": "subtask"
          },
          "website": {
            "from": "website"
          },
          "data_generator": {
            "from": "data_generator"
          },
          "n_images": {
            "from": "n_images"
          },
          "criteria": {
            "from": "criteria"
          },
          "source_id": {
            "from": "id",
            "note": "Original upstream id before composite-id formation."
          }
        },
        "source": {
          "format": "json",
          "url": {
            "2024-07_test": "https://huggingface.co/datasets/lmms-lab/LiveBench"
          }
        }
      }
    },
    "2024-08": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_image_start"
      ],
      "task_type": "open_ended_qa",
      "score_pipeline": [
        "llm-judge"
      ],
      "score_params": {
        "rubric": "scale",
        "scale": [
          0,
          10
        ],
        "official_judge_model": "gpt-4o",
        "judge_inputs": [
          "criteria"
        ]
      },
      "score_protocol": {
        "reference": "lmms-eval@lmms_eval/tasks/live_bench/utils.py:66-68,164 and utils_v2.py:67-69,163 — same GPT-4o 0-10 judge protocol consuming per-sample `criteria`; 2024-08 config is not listed in the live_bench.yaml task group.",
        "note": "Only 8 rows in this config (source upload appears truncated) — results statistically meaningless. Per-sample `criteria` column is carried as extra (fixed 2026-07-07; the earlier mm-eval copy omitted it). Official judge is multimodal (sees the screenshots) — a text-only judge deviates from official. 0-10 rating averaged then scaled x10 to 0-100."
      },
      "prompt_template": "{% for _ in range(n_images) %}<image>{% endfor %}{{ question }}",
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://huggingface.co/datasets/lmms-lab/LiveBench",
        "notes": "Tier 1: LiveBench live-web VQA, monthly config 2024-08; single-prompt eval per dataset card."
      },
      "mapping_from_source": {
        "media": {
          "from": "images",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "id"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "subtask": {
            "from": "subtask"
          },
          "website": {
            "from": "website"
          },
          "data_generator": {
            "from": "data_generator"
          },
          "n_images": {
            "from": "n_images"
          },
          "criteria": {
            "from": "criteria"
          }
        },
        "source": {
          "format": "json",
          "url": {
            "2024-08_test": "https://huggingface.co/datasets/lmms-lab/LiveBench"
          }
        }
      }
    },
    "2024-09": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_image_start"
      ],
      "task_type": "open_ended_qa",
      "score_pipeline": [
        "llm-judge"
      ],
      "score_params": {
        "rubric": "scale",
        "scale": [
          0,
          10
        ],
        "official_judge_model": "gpt-4o",
        "judge_inputs": [
          "criteria"
        ]
      },
      "score_protocol": {
        "reference": "lmms-eval@lmms_eval/tasks/live_bench/live_bench.yaml + live_bench_2409.yaml (includes live_bench_template_yaml_v2 -> utils_v2.py) — utils_v2.py:67-69 judge prompt interpolates per-sample `criteria`, utils_v2.py:163 reads doc['criteria']; GPT-4o rates 0-10 with the screenshot images attached; subtask taxonomy v2 (Concrete Recognition/Analytical Questions/Divergent Thinking/Real-world Assistance); aggregate = mean(rating/10)*100.",
        "note": "Per-sample `criteria` column is carried as extra (fixed 2026-07-07; the earlier mm-eval copy omitted it). Official judge is multimodal (sees the screenshots) — a text-only judge deviates from official. 0-10 rating averaged then scaled x10 to 0-100."
      },
      "prompt_template": "{% for _ in range(n_images) %}<image>{% endfor %}{{ question }}",
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://huggingface.co/datasets/lmms-lab/LiveBench",
        "notes": "Tier 1: LiveBench live-web VQA, monthly config 2024-09; single-prompt eval per dataset card."
      },
      "mapping_from_source": {
        "media": {
          "from": "images",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "id",
          "note": "Composite key {source_id}_q{occurrence_index} produced by walking rows in upstream order (string-sorted by id, stable) and counting per-source-id occurrences (1-indexed); the source config ships duplicate `id` values."
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "subtask": {
            "from": "subtask"
          },
          "website": {
            "from": "website"
          },
          "data_generator": {
            "from": "data_generator"
          },
          "n_images": {
            "from": "n_images"
          },
          "criteria": {
            "from": "criteria"
          },
          "source_id": {
            "from": "id",
            "note": "Original upstream id before composite-id formation."
          }
        },
        "source": {
          "format": "json",
          "url": {
            "2024-09_test": "https://huggingface.co/datasets/lmms-lab/LiveBench"
          }
        }
      }
    }
  }
}