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Update MultilingualPoetryRetrieval v1.2.0: merge hard negatives into qrels (score 0–3); drop hard_negatives_* configs; refresh Configs card
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cff-version: 1.2.0
message: If you use this dataset, please cite it as below.
title: "Multilingual Poetry Retrieval: Multi-Aspect Graded Retrieval for Multilingual Poetry"
version: "1.2.0"
type: dataset
license: CC-BY-NC-SA-4.0
authors:
- name: "PoetryMTEB Contributors"
url: "https://huggingface.co/datasets/PoetryMTEB/MultilingualPoetryRetrieval"
repository-code: "https://huggingface.co/datasets/PoetryMTEB/MultilingualPoetryRetrieval"
keywords:
- poetry
- multilingual
- retrieval
- mteb
- poetrymteb
- embedding-evaluation
abstract: >-
PoetryMTEB BEIR-style multi-aspect multilingual poetry retrieval benchmark
covering emotion, intent, theme, and thought under MONO/CROSS settings,
with graded relevance scores (0-3) and train / silver / gold splits.