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Dataset · Hugging Face

fabianschmidt-cohere/rcp-ndcg-bright

RCP-nDCG · BRIGHT (MTEB-style, with continuous relevance gains) Evaluate with stock mteb (≥ 2.0.1). No fork is needed. This repo ships rcp_ndcg_tasks.py. It defines one mteb task per subset (12 tasks, e.g. BrightAopsRCPReranking), which reports the continuous-gain metric ndcg_float_at_10 alongside mteb's usual metrics: import importlib.util import mteb from huggingface_hub import hf_hub_download path = hf_hub_download("fabianschmidt-cohere/rcp-ndcg-bright", "rcp_ndcg_tasks.py"… See the full description on the dataset page: https://huggingface.co/datasets/fabianschmidt-cohere/rcp-ndcg-bright.

Author / organizationfabianschmidt-cohere
License (as declared)cc-by-4.0
Downloads2.8K (as reported by Hugging Face)
Likes0
Created28 September 2026
Last updated at source15 October 2026
mtebretrievalrerankingrcp-ndcggraded-relevancellm-judgejudge-nvidia-qwen3.5-397b-a17b-nvfp4bright
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