Datasets › WMT 2016 Biomedical
WMT 2016 Biomedical (WMT 2016 Biomedical Translation Task)
The Biomedical Translation Shared Task was first introduced at the First Conference of Machine Translation. The task aims to evaluate systems for the translation of biomedical titles and abstracts from scientific publications. The data includes three language pairs (English ↔ Portuguese, English ↔ Spanish, English ↔ French) and two sub-domains of biological sciences and health sciences.
The training data consists mainly of the Scielo corpus, a parallel collection of scientific publications composed of either titles, abstracts or title and abstracts which were retrieved from the Scielo database. For the Scielo corpus, a parallel documents are provided for all language pairs in the two sub-domains, except for the English ↔ French, where only health was considered, as there were inadequate parallel documents available for biology in that pair. The training data was aligned using the GMA alignment tool. Additionally, a corpus of parallel titles from MEDLINEⓇ for all three language pairs were provided as well as monolingual documents for the four languages, retrieved from the Scielo database. These consist of documents in the Scielo database which have no corresponding document in another language.
The test set consisted of 500 documents (title and abstract) for each of the two directions of each language pair. None of the test documents was included in the training data and there is no overlap of documents between the test sets for any language pair, translation direction and sub-domain.
Source: http://www.statmt.org/wmt16/index.html Image Source: https://www.aclweb.org/anthology/W16-2301.pdf
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- WMT 2016 Biomedical
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections