fabianschmidt-cohere/rcp-ndcg-trecdl

RCP-nDCG · TREC-DL (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 (2 tasks, e.g. TRECDL2019RCPReranking), 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-trecdl", "rcp_ndcg_tasks.py"… See the full description on the dataset page: https://huggingface.co/datasets/fabianschmidt-cohere/rcp-ndcg-trecdl.

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