Behind Closed Words: Creating and Investigating the forePLay Annotated Dataset for Polish Erotic Discourse
Anna Kołos, Katarzyna Lorenc, Emilia Wiśnios, Agnieszka Karlińska
Abstract
The surge in online content has created an urgent demand for robust detection systems, especially in non-English contexts where current tools demonstrate significant limitations. We introduce forePLay, a novel Polish-language dataset for erotic content detection, comprising over 24,000 annotated sentences. The dataset features a multidimensional taxonomy that captures ambiguity, violence, and socially unacceptable behaviors. Our comprehensive evaluation demonstrates that specialized Polish language models achieve superior performance compared to multilingual alternatives, with transformer-based architectures showing particular strength in handling imbalanced categories. The dataset and accompanying analysis establish essential frameworks for developing linguistically-aware content moderation systems, while highlighting critical considerations for extending such capabilities to morphologically complex languages.
BibTeX
@inproceedings{kolos-etal-2025-behind,
title = "Behind Closed Words: Creating and Investigating the fore{PL}ay Annotated Dataset for {P}olish Erotic Discourse",
author = "Ko{\l}os, Anna and
Lorenc, Katarzyna and
Wi{\'s}nios, Emilia and
Karli{\'n}ska, Agnieszka",
editor = "Che, Wanxiang and
Nabende, Joyce and
Shutova, Ekaterina and
Pilehvar, Mohammad Taher",
booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.acl-long.120/",
doi = "10.18653/v1/2025.acl-long.120",
pages = "2416--2432",
ISBN = "979-8-89176-251-0"
}