Behind Closed Words: Creating and Investigating the forePLay Annotated Dataset for Polish Erotic Discourse
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Abstract (arXiv)
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 present forePLay, a novel Polish language dataset for erotic content detection, featuring over 24k annotated sentences with a multidimensional taxonomy encompassing ambiguity, violence, and social unacceptability dimensions. 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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 11 of its 33 references that are in the map. First posted on arXiv 23 Dec 2024.
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References · 11
- 2024The Llama 3 Herd of Modelscited by 14,192
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- 2024Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotationscited by 10
- 2023Detecting Sexual Content at the Sentence Level in First Millennium Latin Textscited by 1
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