Given the task definition and input, reply with output. In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.

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?
a total of 2,560 pseudo-tweets in three different languages: Japanese (ja), English (en) and Chinese (zh)