File size: 1,032 Bytes
87c787b d1d8300 87c787b d1d8300 097f786 87c787b d1d8300 87c787b d282d8c 097f786 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 |
# from https://www.kaggle.com/datasets/rtatman/questionanswer-dataset/
import pandas as pd
import glob
import dask.dataframe as dd
path_to_file = "./raw_data/S08_question_answer_pairs.txt"
df = pd.read_csv(path_to_file, sep="\t")
df.rename(columns={"Question": "question", "Answer": "answer"}, inplace=True)
df = df[["question", "answer"]]
df = df.dropna()
df = df.drop_duplicates(subset="question")
df.index.name = "id"
path_to_file = "./data/test.parquet"
dd.from_pandas(df, npartitions=1).to_parquet(path_to_file)
path_to_file = "./raw_data/text_data/S08*clean"
s08 = glob.glob(path_to_file)
passages = pd.DataFrame(columns=["passage"])
for file in s08:
df = pd.read_csv(file, sep="\t", encoding="latin-1", index_col=False)
df.rename(columns={df.columns[0]: "passage"}, inplace=True)
passages = pd.concat([passages, df], axis=0, ignore_index=True)
passages = passages.dropna()
passages.index.name = "id"
path_to_file = "./data/passages.parquet"
dd.from_pandas(passages, npartitions=1).to_parquet(path_to_file)
|