{"url":"/dataset/pridemm","name":"PrideMM","full_name":null,"description_markdown":"PrideMM comprising 5,063 text-embedded images associated with the LGBTQ+ Pride movement","description_withheld":null,"homepage":"https://github.com/SiddhantBikram/MemeCLIP","introduced_date":"2024-09-23","introduced_date_note":null,"introduced_by":{"paper":"/paper/memeclip-leveraging-clip-representations-for","title":"MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification","first_author":"Siddhant Bikram Shah","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":["PrideMM"],"data_loaders":[],"num_papers_in_archive":7,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/hateful-meme-classification-on-pridemm","task":"Hateful Meme Classification","dataset_variant":"PrideMM","rows":7,"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":"78.1","F1":"78.4"},"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/improving-multimodal-hateful-meme-detection-1","title":"Improving Multimodal Hateful Meme Detection Exploiting LMM-Generated Knowledge","date":"2025-04-14","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"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":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+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/memeclip-leveraging-clip-representations-for","title":"MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification","date":"2024-09-23","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"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":"2026-09-24T18:15:14+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":"2026-09-24T18:15:14+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":"2026-09-24T18:15:14+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":"2026-09-24T18:15:14+00:00","papers_with_samples":4,"samples_harvested":30,"samples_ran":19,"samples_unverified":11,"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."}