Behind Closed Words: Creating and Investigating the forePLay Annotated Dataset for Polish Erotic Discourse
Anna Kolos, Katarzyna Lorenc, Emilia Wisnios, Agnieszka Karlinska
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
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- KLEJ: Comprehensive Benchmark for Polish Language UnderstandingPiotr Rybak, Robert Mroczkowski, Janusz Tracz, Ireneusz GawlikACL 2020 · 4 citations
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