{"url":"/dataset/harm-p","name":"Harm-P","full_name":null,"description_markdown":"Harm-P contains around 3,000 memes related to US politics.","description_withheld":null,"homepage":"","introduced_date":"2021-09-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/momenta-a-multimodal-framework-for-detecting","title":"MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets","first_author":"Shraman Pramanick","url":null},"license":null,"modalities":[],"tasks":[{"name":"Hateful Meme Classification","url":"/task/hateful-meme-classification","datasets_with_task":"/datasets/task/hateful-meme-classification"}],"languages":[],"variants":["Harm-P"],"data_loaders":[],"num_papers_in_archive":20,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/hateful-meme-classification-on-harm-p","task":"Hateful Meme Classification","dataset_variant":"Harm-P","rows":5,"metrics":["Accuracy","F1"],"first_row_in_archive_order":{"model":"RA-HMD (Qwen2-VL-7B)","paper":"/paper/improved-fine-tuning-of-large-multimodal-1","metrics":{"Accuracy":"91.6","F1":"91.1"},"code_links":[{"title":"JingbiaoMei/RGCL","url":"https://github.com/JingbiaoMei/RGCL"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/improved-fine-tuning-of-large-multimodal-1","title":"Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection","date":"2025-02-18","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":4,"samples_ran":2,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/towards-explainable-harmful-meme-detection","title":"Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models","date":"2024-01-24","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":6,"samples_ran":4,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/improving-hateful-memes-detection-via","title":"Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning","date":"2023-11-14","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/hate-clipper-multimodal-hateful-meme","title":"Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features","date":"2022-10-12","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":5,"samples_ran":0,"samples_unverified":5,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/learning-transferable-visual-models-from","title":"Learning Transferable Visual Models From Natural Language Supervision","date":"2021-02-26","rows_on_this_dataset":1,"code_links":82,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":20,"samples_ran":16,"samples_unverified":4,"pointer_only_for_licence":16,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":5,"samples_harvested":36,"samples_ran":23,"samples_unverified":13,"pointer_only_for_licence":16,"papers_with_no_sample_that_ran":1,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}