add medical tag

README.md

@@ -11,6 +11,7 @@ task_categories:
 task_ids: []
 tags:
 - conditional-text-generation
+- medical
 dataset_info:
 - config_name: document
   features:
@@ -117,5 +118,4 @@ Token counts are white space based.
   pages = "615--621",
   abstract = "Neural abstractive summarization models have led to promising results in summarizing relatively short documents. We propose the first model for abstractive summarization of single, longer-form documents (e.g., research papers). Our approach consists of a new hierarchical encoder that models the discourse structure of a document, and an attentive discourse-aware decoder to generate the summary. Empirical results on two large-scale datasets of scientific papers show that our model significantly outperforms state-of-the-art models.",
 }
-```
-
+```