Behind Closed Words: Creating and Investigating the forePLay Annotated Dataset for Polish Erotic Discourse
Year: 2025
Type: conference-paper
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.1
Institution: NASK National Research Institute
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4412886759