README.md

---
language: ko
---

# Pretrained BART in Korean

This is pretrained BART model with multiple Korean Datasets.

I used multiple datasets for generalizing the model for both colloquial and written texts.

The training is supported by [TPU Research Cloud](https://sites.research.google/trc/) program.

The script which is used to pre-train model is [here](https://github.com/cosmoquester/transformers-bart-pretrain).

When you use the reference API, you must wrap the sentence with `[BOS]` and `[EOS]` like below example.

```
[BOS] 안녕하세요? 반가워요~~ [EOS]
```

## Used Datasets

### [모두의 말뭉치](https://corpus.korean.go.kr/)
- 일상 대화 말뭉치 2020
- 구어 말뭉치
- 문어 말뭉치
- 신문 말뭉치

### AIhub
- [개방데이터 전문분야말뭉치](https://aihub.or.kr/aidata/30717)
- [개방데이터 한국어대화요약](https://aihub.or.kr/aidata/30714)
- [개방데이터 감성 대화 말뭉치](https://aihub.or.kr/aidata/7978)
- [개방데이터 한국어 음성](https://aihub.or.kr/aidata/105)
- [개방데이터 한국어 SNS](https://aihub.or.kr/aidata/30718)

### [세종 말뭉치](https://ithub.korean.go.kr/)