  This paper presents RISC, an open-source Python package data generator
(https://github.com/GRAAL-Research/risc). RISC generates look-alike automobile
insurance contracts based on the Quebec regulatory insurance form in French and
English. Insurance contracts are 90 to 100 pages long and use complex legal and
insurance-specific vocabulary for a layperson. Hence, they are a much more
complex class of documents than those in traditional NLP corpora. Therefore, we
introduce RISCBAC, a Realistic Insurance Synthetic Bilingual Automobile
Contract dataset based on the mandatory Quebec car insurance contract. The
dataset comprises 10,000 French and English unannotated insurance contracts.
RISCBAC enables NLP research for unsupervised automatic summarisation, question
answering, text simplification, machine translation and more. Moreover, it can
be further automatically annotated as a dataset for supervised tasks such as
NER
