instruction:
In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recipients then it must be labeled as ‘spam’, otherwise, it should be labeled as ‘ham’.
question:
K:)i will give my kvb acc details:)
answer:
ham


question:
URGENT, IMPORTANT INFORMATION FOR O2 USER. TODAY IS YOUR LUCKY DAY! 2 FIND OUT WHY LOG THERE IS A FANTASTIC SURPRISE AWAITING FOR YOU
answer:
spam


question:
Dear Voucher Holder, 2 claim this weeks offer, at your PC go to [link] Ts&Cs apply.2 stop texts txt STOP to 80062.
answer:

spam