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import argparse |
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import json |
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from pathlib import Path |
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import pandas as pd |
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from project_settings import project_path |
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def get_args(): |
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parser = argparse.ArgumentParser() |
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parser.add_argument( |
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"--data_dir", |
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default="examples/preprocess/data/tweets_with_emoji", |
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type=str, |
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) |
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parser.add_argument( |
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"--output_file", |
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default="data/tweets_with_emoji.jsonl", |
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type=str, |
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) |
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args = parser.parse_args() |
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return args |
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def print_examples(): |
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args = get_args() |
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data_dir = project_path / args.data_dir |
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print("| 样本数量 | 类别 | 例句1 | 例句2 |") |
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print("| --- | --- | --- | --- |") |
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for filename in data_dir.glob("*.csv"): |
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df = pd.read_csv(filename) |
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length = len(df) |
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category = filename.stem |
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text_list = list() |
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for i, row in df.iterrows(): |
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row = dict(row) |
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text = row["Text"] |
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text = str(text).strip() |
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text = text.replace("\n", " <br> ") |
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text = text.replace("\r", " <br> ") |
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text_list.append(text) |
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if i >= 2: |
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break |
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row = "| {} | {} | {} | {} |".format(length, category, text_list[0], text_list[1]) |
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print(row) |
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return |
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def main(): |
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args = get_args() |
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data_dir = project_path / args.data_dir |
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output_file = project_path / args.output_file |
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with open(output_file, "w", encoding="utf-8") as fout: |
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for filename in data_dir.glob("*.csv"): |
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df = pd.read_csv(filename) |
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for i, row in df.iterrows(): |
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row = dict(row) |
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text = row["Text"] |
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row_ = { |
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"text": text, |
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"category": filename.stem |
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} |
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row_ = json.dumps(row_, ensure_ascii=False) |
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row_ = "{}\n".format(row_) |
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fout.write(row_) |
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return |
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if __name__ == '__main__': |
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print_examples() |
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