hac541309 commited on
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1ba2996
1 Parent(s): c02979a

Create create_dict.py

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  1. create_dict.py +53 -0
create_dict.py ADDED
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+ import pandas as pd
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+ import os
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+ import datasets
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+
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+ XLS_FOLDER = "basic_korean_dict"
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+ OUTPUT_FOLDER = "data"
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+ SORT_KEY = ["어휘", "표제어"]
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+ NUM_PROC = 32
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+ hf_access_token = ""
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+ hf_ID = ""
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+ ds_name = "basic_korean_dict"
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+
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+
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+ def flatten_examples(example: dict) -> dict:
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+ text_line = ""
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+ for key in example:
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+ # some columns are empty or invalid
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+ if key in ["의미 번호", "동형어 번호"]:
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+ continue
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+ if (single_column := example[key]) == None:
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+ continue
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+ # certain columns contain extraneous content
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+ if key == "원어·어종":
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+ single_column = single_column.removeprefix("안 밝힘 ")
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+ text_line += key + ": " + single_column.strip() + ", "
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+ return {"text": text_line.removesuffix(", ")}
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+
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+
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+ if os.path.exists(XLS_FOLDER):
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+ XLS_FOLDER = os.path.abspath(XLS_FOLDER)
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+ xls_list = os.listdir(XLS_FOLDER)
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+ else:
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+ raise ValueError("input folder does not exist")
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+
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+ combined_df = pd.DataFrame()
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+ length_check = 0
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+ for xls in sorted(xls_list):
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+ xls_path = os.path.join(XLS_FOLDER, xls)
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+ if os.path.exists(xls_path):
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+ # print(xls_path)
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+ df = pd.read_excel(xls_path, header=0, index_col=None)
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+ length_check += len(df)
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+ combined_df = pd.concat([combined_df, df], ignore_index=True)
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+
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+ assert len(combined_df) == length_check
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+ ds = datasets.Dataset.from_pandas(combined_df)
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+ for key in SORT_KEY:
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+ if key in ds.column_names:
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+ sorted_ds = ds.sort(key)
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+
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+ processed_ds = sorted_ds.map(flatten_examples, num_proc=NUM_PROC).select_columns("text")
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+
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+ processed_ds.push_to_hub(repo_id=ds_name, token=hf_access_token)