  We present a cross-lingual summarisation corpus with long documents in a
source language associated with multi-sentence summaries in a target language.
The corpus covers twelve language pairs and directions for four European
languages, namely Czech, English, French and German, and the methodology for
its creation can be applied to several other languages. We derive cross-lingual
document-summary instances from Wikipedia by combining lead paragraphs and
articles' bodies from language aligned Wikipedia titles. We analyse the
proposed cross-lingual summarisation task with automatic metrics and validate
it with a human study. To illustrate the utility of our dataset we report
experiments with multi-lingual pre-trained models in supervised, zero- and
few-shot, and out-of-domain scenarios.

Computation and Language