MGen is a dataset of over 4 million naturally occurring generic and quantified sentences extracted from diverse textual sources. Sentences in the dataset have long context documents, corresponding to websites and academic papers, and cover 11 different quantifiers. We analyze the features of generics sentences in the dataset, with interesting insights: generics can be long sentences (averaging over 16 words) and speakers often use them to express generalisations about people. MGen is the biggest and most diverse dataset of naturally occurring generic sentences, opening the door to large-scale computational research on genericity. It is publicly available at https://gustavocilleruelo.com/mgen
@article{arxiv.2509.26160,
title = {MGen: Millions of Naturally Occurring Generics in Context},
author = {Gustavo Cilleruelo and Emily Allaway and Barry Haddow and Alexandra Birch},
journal= {arXiv preprint arXiv:2509.26160},
year = {2025}
}