{"url":"/dataset/wlasl","name":"WLASL","full_name":"Word-Level American Sign Language","description_markdown":"**WLASL** is a large video dataset for **Word-Level American Sign Language** (ASL) recognition, which features 2,000 common different words in ASL.\r\n\r\nSource: [https://github.com/dxli94/WLASL](https://github.com/dxli94/WLASL)","description_withheld":null,"homepage":"https://github.com/dxli94/WLASL","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/word-level-deep-sign-language-recognition","title":"Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison","first_author":"Dongxu Li","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Action Classification","url":"/task/action-classification","datasets_with_task":"/datasets/task/action-classification"},{"name":"Sign Language Recognition","url":"/task/sign-language-recognition","datasets_with_task":"/datasets/task/sign-language-recognition"},{"name":"Sign Language Translation","url":"/task/sign-language-translation","datasets_with_task":"/datasets/task/sign-language-translation"}],"languages":[],"variants":["WLASL","WLASL-2000","WLASL100"],"data_loaders":[{"repo":"https://github.com/dxli94/WLASL","url":"https://github.com/dxli94/WLASL","frameworks":[]}],"num_papers_in_archive":66,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/sign-language-recognition-on-wlasl-2000","task":"Sign Language Recognition","dataset_variant":"WLASL-2000","rows":9,"metrics":["Top-1 Accuracy"],"first_row_in_archive_order":{"model":"Logos-Pretraining","paper":"/paper/logos-as-a-well-tempered-pre-train-for-sign","metrics":{"Top-1 Accuracy":"66.82"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/sign-language-recognition-on-wlasl100","task":"Sign Language Recognition","dataset_variant":"WLASL100","rows":7,"metrics":["Top-1 Accuracy","Official Test Split"],"first_row_in_archive_order":{"model":"Uni-Sign","paper":"/paper/uni-sign-toward-unified-sign-language","metrics":{"Official Test Split":"true","Top-1 Accuracy":"92.25"},"code_links":[{"title":"zechengli19/uni-sign","url":"https://github.com/zechengli19/uni-sign"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/sign-language-recognition-on-wlasl","task":"Sign Language Recognition","dataset_variant":"WLASL","rows":2,"metrics":["Top-1 Accuracy"],"first_row_in_archive_order":{"model":"StepNet","paper":"/paper/stepnet-spatial-temporal-part-aware-network","metrics":{"Top-1 Accuracy":"61.17"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/logos-as-a-well-tempered-pre-train-for-sign","title":"Logos as a Well-Tempered Pre-train for Sign Language Recognition","date":"2025-05-15","rows_on_this_dataset":1,"code_links":0,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":0,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"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/uni-sign-toward-unified-sign-language","title":"Uni-Sign: Toward Unified Sign Language Understanding at Scale","date":"2025-01-25","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":15,"samples_ran":14,"samples_unverified":1,"pointer_only_for_licence":15,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"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/signbert-hand-model-aware-self-supervised-pre","title":"SignBERT+: Hand-model-aware Self-supervised Pre-training for Sign Language Understanding","date":"2023-05-08","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/natural-language-assisted-sign-language","title":"Natural Language-Assisted Sign Language Recognition","date":"2023-03-21","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/fine-tuning-of-sign-language-recognition","title":"Fine-tuning of sign language recognition models: a technical report","date":"2023-02-15","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/stepnet-spatial-temporal-part-aware-network","title":"StepNet: Spatial-temporal Part-aware Network for Isolated Sign Language Recognition","date":"2022-12-25","rows_on_this_dataset":3,"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/signbert-pre-training-of-hand-model-aware-1","title":"SignBERT: Pre-Training of Hand-Model-Aware Representation for Sign Language Recognition","date":"2021-10-11","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/word-level-sign-language-recognition-with","title":"Word-level Sign Language Recognition with Multi-stream Neural Networks Focusing on Local Regions and Skeletal Information","date":"2021-06-30","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/skeleton-based-sign-language-recognition","title":"Skeleton Aware Multi-modal Sign Language Recognition","date":"2021-03-16","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/bsl-1k-scaling-up-co-articulated-sign","title":"BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues","date":"2020-07-23","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/word-level-deep-sign-language-recognition","title":"Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison","date":"2019-10-24","rows_on_this_dataset":2,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":0,"samples_unverified":7,"pointer_only_for_licence":0,"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":3,"samples_harvested":24,"samples_ran":14,"samples_unverified":10,"pointer_only_for_licence":15,"papers_with_no_sample_that_ran":2,"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."}