{"url":"/dataset/tamil-memes","name":"Tamil Memes","full_name":null,"description_markdown":"Social media are interactive platforms that facilitate the creation or sharing of information, ideas or other forms of expression among people. This exchange is not free from offensive, trolling or malicious contents targeting users or communities. One way of trolling is by making memes, which in most cases combines an image with a concept or catchphrase. The challenge of dealing with memes is that they are region-specific and their meaning is often obscured in humour or sarcasm. To facilitate the computational modelling of trolling in the memes for Indian languages, we created a meme dataset for Tamil (TamilMemes). We annotated and released the dataset containing suspected trolls and not-troll memes. In this paper, we use the a image classification to address the difficulties involved in the classification of troll memes with the existing methods. We found that the identification of a troll meme with such an image classifier is not feasible which has been corroborated with precision, recall and F1-score.","description_withheld":null,"homepage":"https://zenodo.org/record/4765573","introduced_date":"2020-05-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-dataset-for-troll-classification-of","title":"A Dataset for Troll Classification of TamilMemes","first_author":"Shardul Suryawanshi","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Meme Classification","url":"/task/meme-classification","datasets_with_task":"/datasets/task/meme-classification"}],"languages":[{"name":"Tamil","url":"/datasets/language/tamil"}],"variants":["Tamil Memes"],"data_loaders":[],"num_papers_in_archive":9,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/meme-classification-on-tamil-memes","task":"Meme Classification","dataset_variant":"Tamil Memes","rows":2,"metrics":["Micro-F1"],"first_row_in_archive_order":{"model":"Hate-CLIPper","paper":"/paper/hate-clipper-multimodal-hateful-meme","metrics":{"Micro-F1":"0.59"},"code_links":[{"title":"gokulkarthik/hateclipper","url":"https://github.com/gokulkarthik/hateclipper"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"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/uvce-iiitt-dravidianlangtech-eacl2021-tamil","title":"UVCE-IIITT@DravidianLangTech-EACL2021: Tamil Troll Meme Classification: You need to Pay more Attention","date":"2021-04-19","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":5,"samples_ran":0,"samples_unverified":5,"pointer_only_for_licence":0,"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."}