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import pandas as pd |
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import glob |
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import dask.dataframe as dd |
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path_to_file = "./raw_data/S08_question_answer_pairs.txt" |
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df = pd.read_csv(path_to_file, sep="\t") |
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df.rename(columns={"Question": "question", "Answer": "answer"}, inplace=True) |
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df = df[["question", "answer"]] |
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df = df.dropna() |
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df = df.drop_duplicates(subset="question") |
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df.index.name = "id" |
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path_to_file = "./data/test.parquet" |
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dd.from_pandas(df, npartitions=1).to_parquet(path_to_file) |
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path_to_file = "./raw_data/text_data/S08*clean" |
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s08 = glob.glob(path_to_file) |
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passages = pd.DataFrame(columns=["passage"]) |
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for file in s08: |
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df = pd.read_csv(file, sep="\t", encoding="latin-1", index_col=False) |
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df.rename(columns={df.columns[0]: "passage"}, inplace=True) |
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passages = pd.concat([passages, df], axis=0, ignore_index=True) |
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passages = passages.dropna() |
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passages.index.name = "id" |
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path_to_file = "./data/passages.parquet" |
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dd.from_pandas(passages, npartitions=1).to_parquet(path_to_file) |
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