{"url":"/dataset/phoner-covid19","name":"PhoNER COVID19","full_name":null,"description_markdown":"PhoNER_COVID19 is a dataset for recognising COVID-19 related named entities in Vietnamese, consisting of 35K entities over 10K sentences. The authors defined 10 entity types with the aim of extracting key information related to COVID-19 patients, which are especially useful in downstream applications. In general, these entity types can be used in the context of not only the COVID-19 pandemic but also in other future epidemics.","description_withheld":null,"homepage":"https://github.com/VinAIResearch/PhoNER_COVID19","introduced_date":"2021-04-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/covid-19-named-entity-recognition-for","title":"COVID-19 Named Entity Recognition for Vietnamese","first_author":"Thinh Hung Truong","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Named Entity Recognition (NER)","url":"/task/named-entity-recognition-ner","datasets_with_task":"/datasets/task/named-entity-recognition-ner"},{"name":"Named Entity Recognition In Vietnamese","url":"/task/named-entity-recognition-in-vietnamese","datasets_with_task":"/datasets/task/named-entity-recognition-in-vietnamese"}],"languages":[{"name":"Vietnamese","url":"/datasets/language/vietnamese"}],"variants":["PhoNER COVID19"],"data_loaders":[{"repo":"https://github.com/VinAIResearch/PhoNER_COVID19","url":"https://github.com/VinAIResearch/PhoNER_COVID19","frameworks":[]}],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/named-entity-recognition-in-vietnamese-on-1","task":"Named Entity Recognition In Vietnamese","dataset_variant":"PhoNER COVID19","rows":3,"metrics":["F1 (%)"],"first_row_in_archive_order":{"model":"ViT5 base","paper":"/paper/vit5-pretrained-text-to-text-transformer-for","metrics":{"F1 (%)":"94.5"},"code_links":[{"title":"vietai/vit5","url":"https://github.com/vietai/vit5"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/vihealthbert-pre-trained-language-models-for","title":"ViHealthBERT: Pre-trained Language Models for Vietnamese in Health Text Mining","date":"2022-06-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/vit5-pretrained-text-to-text-transformer-for","title":"ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation","date":"2022-05-13","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/covid-19-named-entity-recognition-for","title":"COVID-19 Named Entity Recognition for Vietnamese","date":"2021-04-08","rows_on_this_dataset":1,"code_links":1,"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."}