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English(EN) The Punjabi Geet Toxicity Dataset (PGT-FG): Fine-Grained Multimodal Annotations for Toxic Content in Punjabi Songs

新数据集针对旁遮普语音乐歌词中的毒性问题

研究人员推出了旁遮普语歌曲毒性数据集 (PGT-FG),这是一个旨在推进旁遮普语音乐中恶意内容检测的新资源。该数据集从 YouTube 歌曲中收集,包含 2,396 个独特的片段,并附有详细的标注,包括二元毒性、八个细粒度毒性类别、严重程度和情感。该数据集发现 29.42% 的片段被标记为有毒,其中暴力是最普遍的类别。PGT-FG 旨在促进旁遮普语多模态内容中的细粒度分析和毒性检测。 AI

影响 能够对旁遮普语音乐进行细粒度毒性检测,有望改进内容审核和分析工具。

排序理由 该集群描述了一个用于研究目的的新数据集,而不是模型发布或重大的行业事件。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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新数据集针对旁遮普语音乐歌词中的毒性问题

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该集群描述了一个用于研究目的的新数据集,而不是模型发布或重大的行业事件。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Lakhjeet Kaur, Jaspreet Kaur, Komal Rani, Yougal Attri, Ramakant KumarJaydeep Kishore, Pravin Kumar ·

    The Punjabi Geet Toxicity Dataset (PGT-FG): 针对旁遮普语歌曲中恶意内容的细粒度多模态标注

    arXiv:2610.32513v1 Announce Type: new Abstract: Resources for toxicity detection in Punjabi remain limited, particularly for musical content that combines linguistic and multimodal information. We present the Punjabi Geet Toxicity Dataset (PGT-FG), a segment-level resource develo…