Populate prompt_template_source for all subsets per 2026-05-30 audit
Browse files- metadata.json +30 -0
metadata.json
CHANGED
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@@ -67,6 +67,11 @@
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"test": "https://huggingface.co/datasets/m-a-p/CMMMU"
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}
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}
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}
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},
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"business": {
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@@ -134,6 +139,11 @@
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"test": "https://huggingface.co/datasets/m-a-p/CMMMU"
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}
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}
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}
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},
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"health_and_medicine": {
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@@ -201,6 +211,11 @@
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"test": "https://huggingface.co/datasets/m-a-p/CMMMU"
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}
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}
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}
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},
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"humanities_and_social_sciences": {
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@@ -268,6 +283,11 @@
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"test": "https://huggingface.co/datasets/m-a-p/CMMMU"
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}
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}
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}
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},
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"science": {
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@@ -335,6 +355,11 @@
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"test": "https://huggingface.co/datasets/m-a-p/CMMMU"
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}
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}
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}
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},
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"technology_and_engineering": {
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@@ -402,6 +427,11 @@
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"test": "https://huggingface.co/datasets/m-a-p/CMMMU"
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}
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}
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}
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}
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}
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"test": "https://huggingface.co/datasets/m-a-p/CMMMU"
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}
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}
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},
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"prompt_template_source": {
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"origin": "fallback",
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"reference": "T1-adapted",
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"notes": "VLMEvalKit-style short-answer with per-dataset adaptation"
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}
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},
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"business": {
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"test": "https://huggingface.co/datasets/m-a-p/CMMMU"
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}
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}
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},
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"prompt_template_source": {
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"origin": "fallback",
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"reference": "T1-adapted",
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"notes": "VLMEvalKit-style short-answer with per-dataset adaptation"
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}
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},
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"health_and_medicine": {
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"test": "https://huggingface.co/datasets/m-a-p/CMMMU"
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}
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}
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},
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"prompt_template_source": {
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"origin": "fallback",
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"reference": "T1-adapted",
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"notes": "VLMEvalKit-style short-answer with per-dataset adaptation"
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}
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},
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"humanities_and_social_sciences": {
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"test": "https://huggingface.co/datasets/m-a-p/CMMMU"
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}
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}
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},
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"prompt_template_source": {
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"origin": "fallback",
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"reference": "T1-adapted",
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"notes": "VLMEvalKit-style short-answer with per-dataset adaptation"
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}
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},
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"science": {
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"test": "https://huggingface.co/datasets/m-a-p/CMMMU"
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}
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}
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},
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"prompt_template_source": {
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"origin": "fallback",
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"reference": "T1-adapted",
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"notes": "VLMEvalKit-style short-answer with per-dataset adaptation"
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}
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},
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"technology_and_engineering": {
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"test": "https://huggingface.co/datasets/m-a-p/CMMMU"
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}
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}
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},
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"prompt_template_source": {
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"origin": "fallback",
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"reference": "T1-adapted",
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"notes": "VLMEvalKit-style short-answer with per-dataset adaptation"
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}
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}
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}
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