{"url":"/dataset/iecsil-fire-2018-shared-task","name":"IECSIL FIRE-2018 Shared Task","full_name":null,"description_markdown":"The dataset is taken from the First shared task on Information Extractor for Conversational Systems in Indian Languages (IECSIL) . It consists of 15,48,570 Hindi words in Devanagari script and corresponding NER labels. Each sentence end is marked by \\newline\" tag. Fig. 1 shows a snapshot of one sentence in the dataset. Our Dataset has nine classes, namely, Datenum, Event, Location, Name, Number, Occupation, Organization, Other, Things.\r\n\r\nImage taken from paper:  https://www.researchgate.net/publication/349190662_Analysis_of_Contextual_and_Non-contextual_Word_Embedding_Models_for_Hindi_NER_with_Web_Application_for_Data_Collection","description_withheld":null,"homepage":"","introduced_date":"2018-02-20","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Named Entity Recognition (NER)","url":"/task/named-entity-recognition-ner","datasets_with_task":"/datasets/task/named-entity-recognition-ner"},{"name":"NER","url":"/task/cg","datasets_with_task":"/datasets/task/cg"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Hindi","url":"/datasets/language/hindi"}],"variants":["IECSIL FIRE-2018 Shared Task"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/named-entity-recognition-on-iecsil-fire-2018","task":"Named Entity Recognition (NER)","dataset_variant":"IECSIL FIRE-2018 Shared Task","rows":1,"metrics":["Average F1"],"first_row_in_archive_order":{"model":"XLM-RoBERTa","paper":"/paper/analysis-of-contextual-and-non-contextual","metrics":{"Average F1":"90.8419"},"code_links":[{"title":"AindriyaBarua/Contextual-vs-Non-Contextual-Word-Embeddings-For-Hindi-NER-With-WebApp","url":"https://github.com/AindriyaBarua/Contextual-vs-Non-Contextual-Word-Embeddings-For-Hindi-NER-With-WebApp"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/analysis-of-contextual-and-non-contextual","title":"Analysis Of Contextual and Non-Contextual Word Embedding Models For Hindi NER With Web Application For Data Collection","date":"2021-02-18","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."}