Existing summarization datasets come with two main drawbacks: (1) They tend
to focus on overly exposed domains, such as news articles or wiki-like texts,
and (2) are primarily monolingual, with few multilingual datasets. In this
work, we propose a novel dataset, called EUR-Lex-Sum, based on manually curated
document summaries of legal acts from the European Union law platform
(EUR-Lex). Documents and their respective summaries exist as cross-lingual
paragraph-aligned data in several of the 24 official European languages,
enabling access to various cross-lingual and lower-resourced summarization
setups. We obtain up to 1,500 document/summary pairs per language, including a
subset of 375 cross-lingually aligned legal acts with texts available in all 24
languages. In this work, the data acquisition process is detailed and key
characteristics of the resource are compared to existing summarization
resources. In particular, we illustrate challenging sub-problems and open
questions on the dataset that could help the facilitation of future research in
the direction of domain-specific cross-lingual summarization. Limited by the
extreme length and language diversity of samples, we further conduct
experiments with suitable extractive monolingual and cross-lingual baselines
for future work. Code for the extraction as well as access to our data and
baselines is available online at: this https URL.

本文介绍了一个名为 EUR-Lex-Sum 的新数据集，基于欧盟法律平台的法律法规摘要，包括 24 种官方欧洲语言的跨语言段落对齐数据，以及资源的关键特征对现有摘要资源进行比较。