Related papers: MGen: Millions of Naturally Occurring Generics in Context

MGen: Millions of Naturally Occurring Generics in Context

URL: http://arxiv.org/abs/2509.26160v1
Date: Tue, 30 Sep 2025 12:13:51 GMT
Title: MGen: Millions of Naturally Occurring Generics in Context
Authors: Gustavo Cilleruelo, Emily Allaway, Barry Haddow, Alexandra Birch,
Abstract summary: MGen is a dataset of over 4 million naturally occurring generic and quantified sentences.<n>We analyze the features of generics sentences in the dataset, with interesting insights.<n>MGen is the biggest and most diverse dataset of naturally occurring generic sentences.
Score: 75.4707956240456
License: http://creativecommons.org/licenses/by/4.0/
Abstract: 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

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