| | |
| | 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) |
| |
|
