{"url":"/dataset/phemt","name":"PheMT","full_name":null,"description_markdown":"**PheMT** is a phenomenon-wise dataset designed for evaluating the robustness of Japanese-English machine translation systems. The dataset is based on the MTNT dataset, with additional annotations of four linguistic phenomena common in UGC; Proper Noun, Abbreviated Noun, Colloquial Expression, and Variant\r\n\r\nSource: [https://github.com/cl-tohoku/PheMT](https://github.com/cl-tohoku/PheMT)\r\nImage Source: [Fujii et al](https://arxiv.org/pdf/2011.02121v1.pdf)","description_withheld":null,"homepage":"https://github.com/cl-tohoku/PheMT","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/phemt-a-phenomenon-wise-dataset-for-machine","title":"PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents","first_author":"Ryo Fujii","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Machine Translation","url":"/task/machine-translation","datasets_with_task":"/datasets/task/machine-translation"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Japanese","url":"/datasets/language/japanese"}],"variants":["PheMT"],"data_loaders":[{"repo":"https://github.com/cl-tohoku/PheMT","url":"https://github.com/cl-tohoku/PheMT","frameworks":[]}],"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."}