Download generate.py from rag-datasets/rag-mini-wikipedia: direct link, hf CLI and curl.
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https://huggingface.co/datasets/rag-datasets/rag-mini-wikipedia/resolve/main/generate.py
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hf download hf://datasets/rag-datasets/rag-mini-wikipedia/generate.py
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curl -L -o generate.py https://huggingface.co/datasets/rag-datasets/rag-mini-wikipedia/resolve/main/generate.py
1.03 kB
| # 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) | |