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"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."
}
}
}
} |