Task: Question Answering
Input (English): We use the MedWeb (“Medical Natural Language Processing for Web Document”) dataset BIBREF4 that was provided as part of a subtask at the NTCIR-13 Conference BIBREF5. The data is summarised in Table TABREF1. There are a total of 2,560 pseudo-tweets in three different languages: Japanese (ja), English (en) and Chinese (zh). 
 Question: How big is dataset used for fine-tuning model for detection of red flag medical symptoms in individual statements?
Output (English): a total of 2,560 pseudo-tweets in three different languages: Japanese (ja), English (en) and Chinese (zh)