with open("../data/20181101_ETRI_MRC_v1.json", 'r') as f: jf = json.load(f) titles = [] contexts = [] questions = [] ids = [] answers = [] document_ids = [] index_level_0s = [] print(len(jf['data'])) for data in jf['data']: title = data['title'] context = data['paragraphs'][0]['context'] question = data['paragraphs'][0]['qas'][0]['question'] id = data['paragraphs'][0]['qas'][0]['id'] answer = {'..

with open("../data/KorQuAD_v1.0_dev.json", 'r') as f: jf = json.load(f) titles = [] contexts = [] questions = [] ids = [] answers = [] document_ids = [] index_level_0s = [] print(len(jf['data'])) for data in jf['data']: title = data['title'] document_id = 0 index_level_0 = 0 for ele in data['paragraphs']: context = ele['context'] for subele in ele['qas']: answer = {'answer_start': [subele['answe..

grep -rn "찾으려는 문자열"

pandas Unnamed: 0 제거 pd.read_csv를 사용하면 'unnamed:0' 컬럼이 추가된다고 한다. 삭제 방법 pd.read_csv(f"{directory}/{csv_file}", index_col=0)

가상환경 활성화 주피터 노트북 설치 pip install jupyter notebook 주피터 노트북에 가상환경 커널 추가 python -m ipykernel install --user --name env_name --display-name show_name

train_df.iloc[[0]]: 첫번째 행 추출 group을 예쁘게 보고싶다면 from IPython.display import display for name, group in groups: display(group)