Tasks
Task format¶
Classification¶
Info
multi-class classification:¶
Format:
input sentence,label
Example:
Calotropis procera (ushaar) keratitis.,Not-Related
multi-label classification¶
use /// to separate each label.
Format:
input sentence,label1///label2
We report two cases of pseudoporphyria caused by naproxen and oxaprozin.,Related///METHODS
Text Generation¶
Info
Format:
input sentence, target sentence
Peter was a truck driver . He was running a little behind on schedule . Peter decided to run past the weigh station . He was stopped by a cop .,"Peter ended up running late and getting a fine ."
Extractive Question Answering¶
Info
Format:
input sentence with question, answer start position, answer end position
Beyoncé announced a hiatus from her music ... <s> Who suggested the hiatus for Beyoncé?, 74,84
Multiple-Choice Question Answering¶
Info
Input passage should include all available, each choice must start with a mask token
choice id will be start from 0
Format:
input passage [MASK]choiceA [MASK]choiceB, 1
"I 'm sure many of you have seen Star Wars ... </s> What is the best title of the passage ? [MASK] What Is Human Cloning [MASK] How Does Human Cloning Happen [MASK] Human Cloning Is Wrong [MASK] Discussion On Human Cloning",2
Mask Language Modeling¶
Info
input sentence with mask, can be multiple
target of each mask should be separate by blank
Format:
input sentence with [MASK] [MASK],target_token target_token
"how did i [MASK] [MASK]","get here"
Sequence Tagging¶
Info
input sentence with blank between each word
target label separate with blank, should be one to one to the input
Format:
input sentence,tag tag
"welcome to New York,O O B_place B_place"