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cemig-ceia-v2
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energy_D_eval_evaluations_v4

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train · 5 rows

model string	encoder_model string	reranker_model string	rag string	method string	corpus_tag string	accuracy float64	refusal int64	request_error int64	bad_format int64	empty int64
cemig-nlp-releases/enregy-gpt-regulatorio-v2	none		FALSE	multichoice		0.679612	0	0	1	0
cemig-nlp-releases/enregy-gpt-regulatorio-v2	intfloat/multilingual-e5-large		TRUE	multichoice	normas-tok512	0.902913	0	0	0	0
cemig-nlp-releases/enregy-gpt-regulatorio-v2	intfloat/multilingual-e5-large	BAAI/bge-reranker-v2-m3	TRUE	multichoice	normas-tok512	0.902913	0	0	0	0
cemig-nlp-releases/enregy-gpt-regulatorio-v2	Qwen/Qwen3-Embedding-0.6B		TRUE	multichoice	normas-tok512	0.941748	0	0	0	0
cemig-nlp-releases/enregy-gpt-regulatorio-v2	Qwen/Qwen3-Embedding-0.6B	BAAI/bge-reranker-v2-m3	TRUE	multichoice	normas-tok512	0.92233	0	0	1	0

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