| { | |
| "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." | |
| } | |
| } | |
| } | |
| } |