{"url":"/dataset/otsc-hindi","name":"OTSC-Hindi","full_name":"Occupation Test Set with Simple Context - Hindi","description_markdown":"Test set of sentences in Hindi with simple gender-specific context used to measure gender bias in NMT systems for Hindi-English.","description_withheld":null,"homepage":"https://github.com/iampushpdeep/Gender-Bias-Hi-En-Eval/tree/main/TGBI%20and%20Simple%20Context%20Evaluation/corpus","introduced_date":"2023-11-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/gender-inflected-or-bias-inflicted-on-using","title":"Gender Inflected or Bias Inflicted: On Using Grammatical Gender Cues for Bias Evaluation in Machine Translation","first_author":"Pushpdeep Singh","url":null},"license":{"name":"CC BY","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"Hindi","url":"/datasets/language/hindi"}],"variants":["OTSC-Hindi"],"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."}