{"url":"/dataset/cite","name":"CITE","full_name":null,"description_markdown":"CITE is a crowd-sourced resource for multimodal discourse: this resource characterises inferences in image-text contexts in the domain of cooking recipes in the form of coherence relations.\r\n\r\nSource: [CITE: A Corpus of Image-Text Discourse Relations](/paper/cite-a-corpus-of-image-text-discourse)","description_withheld":null,"homepage":"https://github.com/malihealikhani/CITE","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/cite-a-corpus-of-image-text-discourse","title":"CITE: A Corpus of Image-Text Discourse Relations","first_author":"Malihe Alikhani","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Recommendation Systems","url":"/task/recommendation-systems","datasets_with_task":"/datasets/task/recommendation-systems"},{"name":"Image Captioning","url":"/task/image-captioning","datasets_with_task":"/datasets/task/image-captioning"},{"name":"Common Sense Reasoning","url":"/task/common-sense-reasoning","datasets_with_task":"/datasets/task/common-sense-reasoning"}],"languages":[],"variants":["CiteULike","CITE"],"data_loaders":[{"repo":"https://github.com/malihealikhani/CITE","url":"https://github.com/malihealikhani/CITE","frameworks":[]}],"num_papers_in_archive":6,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/recommendation-systems-on-citeulike","task":"Recommendation Systems","dataset_variant":"CiteULike","rows":1,"metrics":["Recall@10","mAP@10"],"first_row_in_archive_order":{"model":"RATE-CSE","paper":"/paper/collaborative-similarity-embedding-for","metrics":{"Recall@10":"0.2362","mAP@10":"0.1452"},"code_links":[{"title":"cnclabs/smore","url":"https://github.com/cnclabs/smore"},{"title":"bdnf/SBX-Recommendation-Engine","url":"https://github.com/bdnf/SBX-Recommendation-Engine"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/collaborative-similarity-embedding-for","title":"Collaborative Similarity Embedding for Recommender Systems","date":"2019-02-17","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"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."}