{
  "name": "MEGA-Bench",
  "release_date": "2024-10-18",
  "subsets": {
    "main": {
      "language": [
        "en"
      ],
      "modalities": [
        "multi_image_interleave",
        "text"
      ],
      "task_type": "vqa",
      "prompt_template": "{{ question }}",
      "mapping_from_source": {
        "media": {
          "from": "images",
          "type": "list",
          "min_items": 0,
          "max_items": 21
        },
        "id": {
          "from": "id"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "task_name": {
            "from": "task_name"
          }
        },
        "source": {
          "format": "json",
          "url": {
            "test_core": "https://huggingface.co/datasets/TIGER-Lab/MEGA-Bench",
            "test_open": "https://huggingface.co/datasets/TIGER-Lab/MEGA-Bench"
          }
        }
      },
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://github.com/TIGER-AI-Lab/MEGA-Bench/blob/main/megabench/loader.py (task_description+example_text+query_text concatenated into question column at conversion time; template is bare {{ question }})",
        "notes": "Tier 1: MEGA-Bench: per-task scaffolding (task_description, example_text, query_text) is concatenated into the question column at conversion time; template is intentionally bare to avoid double-scaffolding."
      }
    }
  }
}