{"url":"/dataset/im2latex-90k","name":"Im2latex-90k","full_name":null,"description_markdown":"Introduced by Singh, Sumeet S.. “Teaching Machines to Code: Neural Markup Generation with Visual Attention.” ArXiv abs/1802.05415 (2018): n. pag.\r\n\r\nSanitized version of im2latex-100K dataset (erroneous samples were removed). A prebuilt dataset for OpenAI's task for image-2-latex system. Includes total of ~90k formulas and images split into train, validation and test sets. Also see I2L-140K which is a superset of this dataset.","description_withheld":null,"homepage":"https://untrix.github.io/i2l/","introduced_date":"2018-02-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/teaching-machines-to-code-neural-markup","title":"Teaching Machines to Code: Neural Markup Generation with Visual Attention","first_author":"Sumeet S. Singh","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Im2latex-90k"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}