:wave: Hello there!
This is :rocket: Team NLP-09's repository for the 1st boostcamp AI Tech competition (2022.10.26 ~ 2022.11.03 19:00).
The competition is on sentence-level Semantic Text Similarity, STS.
Data
We are given a fixed train/dev/test dataset of ratio 85:5:10.
- Total # of data: 10,974 sentence pairs
- # of train data: 9,324
- # of dev data: 1,100
- # of test data: 550.
The data is from 3 sources:
- petition (국민청원 게시판 제목 데이터)
- NSMC (네이버 영화 감성 분석 코퍼스, Naver Sentiment Movie Corpus)
- slack (업스테이지(Upstage) 슬랙 데이터).
Each sentence pair in train and dev datasets also include (1) a score from 0 to 5 where 0 indicates zero similarity while 5 indicates that the two sentences match in terms of their core and supplementary content and (2) a binary score where a score of less than 3 from the previous score is mapped to 0 and 1 otherwise.