Update README.md

README.md

@@ -16,4 +16,42 @@ configs:
   data_files:
   - split: test
     path: data/test-*
+task_categories:
+- translation
+language:
+- zh
+- en
+tags:
+- biology
+- medical
+size_categories:
+- n<1K
+modalities:
+- Text
 ---
+
+# Dataset Card for BioWMT'22 ZH-EN Test Set
+
+Test set that was compiled for the [Biomedical Translation Task](https://www.statmt.org/wmt22/biomedical-translation-task.html) 2022 at [WMT](https://machinetranslate.org/wmt).
+
+- **Language(s) (NLP):** English, Chinese;
+
+## Citation
+
+```bibtex
+@InProceedings
+{neves-EtAl:2022:WMT,
+  author    = {Neves, Mariana  and  Jimeno Yepes, Antonio  and  Siu, Amy  and  Roller, Roland  and  Thomas, Philippe  and  Vicente Navarro, Maika  and  Yeganova, Lana  and  Wiemann, Dina  and  Di Nunzio, Giorgio Maria  and  Vezzani, Federica  and  Gerardin, Christel  and  Bawden, Rachel  and  Estrada, Darryl Johan  and  Lima-Lopez, Salvador  and  Farre-Maduel, Eulalia  and  Krallinger, Martin  and  Grozea, Cristian  and  Neveol, Aurelie},
+  title     = {Findings of the WMT 2022 Biomedical Translation Shared Task: Monolingual Clinical Case Reports},
+  booktitle      = {Proceedings of the Seventh Conference on Machine Translation},
+  month          = {December},
+  year           = {2022},
+  address        = {Abu Dhabi},
+  publisher      = {Association for Computational Linguistics},
+  pages     = {694--723},
+  abstract  = {In the seventh edition of the WMT Biomedical Task, we addressed a total of seven language pairs, namely English/German, English/French, English/Spanish, English/Portuguese, English/Chinese, English/Russian, English/Italian. This year's test sets covered three types of biomedical text genre. In addition to scientific abstracts and terminology items used in previous editions, we released test sets of clinical cases. The evaluation of clinical cases translations were given special attention by involving clinicians in the preparation of reference translations and manual evaluation. For the main MEDLINE test sets, we received a total of 609 submissions from 37 teams. For the ClinSpEn sub-task, we had the participation of five teams.},
+  url       = {https://aclanthology.org/2022.wmt-1.69}
+}
+```
+
+