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hatemestinbejaia /ExperimentDATA_knowledge_distillation_vs_fine_tuningtabular100M<n<1B1 likes64k downloads9mo agoHugging Facehatakeyama-llm-team /PMC Data collected from PMC Only CC-BY, CC-BY-SA licenses are included. For all records, check the jsonl files in the data folder text100K<n<1M2 likes13k downloads2y agoHugging Facelimjiayi /hateful_memes_expandedimage10K<n<100K17 likes9.1k downloads5y agoHugging Faceneuralcatcher /hateful_memes The Hateful Memes Challenge README The Hateful Memes Challenge is a dataset and benchmark created by Facebook AI to drive and measure progress on multimodal reasoning and understanding. The task focuses on detecting hate speech in multimodal memes. Please see the paper for further details: The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes D. Kiela, H. Firooz, A. Mohan, V. Goswami, A. Singh, P. Ringshia, D. Testuggine For more details, see also the website:… See the full description on the dataset page: https://huggingface.co/datasets/neuralcatcher/hateful_memes.image10K<n<100K24 likes4k downloads4y agoHugging Facenayohan /korean-hate-speechreference: https://github.com/kocohub/korean-hate-speech @inproceedings{moon-etal-2020-beep, title = "{BEEP}! {K}orean Corpus of Online News Comments for Toxic Speech Detection", author = "Moon, Jihyung and Cho, Won Ik and Lee, Junbum", booktitle = "Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media", month = jul, year = "2020", address = "Online", publisher = "Association for Computational Linguistics"… See the full description on the dataset page: https://huggingface.co/datasets/nayohan/korean-hate-speech.text1K<n<10K2 likes3.6k downloads2y agoHugging FaceLLMTeamAkiyama /MathX-hatoritabular100K<n<1M0 likes3.3k downloads1y agoHugging Face