{"url":"/dataset/lsa64","name":"LSA64","full_name":"LSA64: A Dataset for Argentinian Sign Language","description_markdown":"The sign database for the Argentinian Sign Language, created with the goal of producing a dictionary for LSA and training an automatic sign recognizer, includes 3200 videos where 10 non-expert subjects executed 5 repetitions of 64 different types of signs. Signs were selected among the most commonly used ones in the LSA lexicon, including both verbs and nouns.","description_withheld":null,"homepage":"http://facundoq.github.io/datasets/lsa64/","introduced_date":"2016-10-01","introduced_date_note":null,"introduced_by":null,"license":{"name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License","url":"https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode"},"modalities":[],"tasks":[{"name":"Sign Language Recognition","url":"/task/sign-language-recognition","datasets_with_task":"/datasets/task/sign-language-recognition"}],"languages":[{"name":"Argentine Sign Language","url":"/datasets/language/argentine-sign-language"}],"variants":["LSA64"],"data_loaders":[],"num_papers_in_archive":6,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/sign-language-recognition-on-lsa64","task":"Sign Language Recognition","dataset_variant":"LSA64","rows":5,"metrics":["Accuracy (%)"],"first_row_in_archive_order":{"model":"SPOTER","paper":"/paper/sign-pose-based-transformer-for-word-level","metrics":{"Accuracy (%)":"100"},"code_links":[{"title":"matyasbohacek/spoter","url":"https://github.com/matyasbohacek/spoter"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/siformer-feature-isolated-transformer-for-1","title":"Siformer: Feature-isolated Transformer for Efficient Skeleton-based Sign Language Recognition","date":"2025-03-26","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/hierarchical-windowed-graph-attention-network","title":"Hierarchical Windowed Graph Attention Network and a Large Scale Dataset for Isolated Indian Sign Language Recognition","date":"2024-07-19","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/spatial-attention-based-3d-graph","title":"Spatial Attention-Based 3D Graph Convolutional Neural Network for Sign Language Recognition","date":"2022-06-16","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/sign-pose-based-transformer-for-word-level","title":"Sign Pose-Based Transformer for Word-Level Sign Language Recognition","date":"2022-01-04","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/sign-language-recognition-without-frame","title":"Sign Language Recognition Without Frame-Sequencing Constraints: A Proof of Concept on the Argentinian Sign Language","date":"2016-10-14","rows_on_this_dataset":1,"code_links":0,"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."}