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#!/usr/bin/python3
# -*- coding: utf-8 -*-
import argparse
import json
from pathlib import Path
import pandas as pd
from project_settings import project_path
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument(
"--data_dir",
default="examples/preprocess/data/tweets_with_emoji",
type=str,
)
parser.add_argument(
"--output_file",
default="data/tweets_with_emoji.jsonl",
type=str,
)
args = parser.parse_args()
return args
def print_examples():
args = get_args()
data_dir = project_path / args.data_dir
print("| 样本数量 | 类别 | 例句1 | 例句2 |")
print("| --- | --- | --- | --- |")
for filename in data_dir.glob("*.csv"):
df = pd.read_csv(filename)
length = len(df)
category = filename.stem
text_list = list()
for i, row in df.iterrows():
row = dict(row)
text = row["Text"]
text = str(text).strip()
text = text.replace("\n", " <br> ")
text = text.replace("\r", " <br> ")
text_list.append(text)
if i >= 2:
break
row = "| {} | {} | {} | {} |".format(length, category, text_list[0], text_list[1])
print(row)
return
def main():
args = get_args()
data_dir = project_path / args.data_dir
output_file = project_path / args.output_file
with open(output_file, "w", encoding="utf-8") as fout:
for filename in data_dir.glob("*.csv"):
df = pd.read_csv(filename)
for i, row in df.iterrows():
row = dict(row)
text = row["Text"]
row_ = {
"text": text,
"category": filename.stem
}
row_ = json.dumps(row_, ensure_ascii=False)
row_ = "{}\n".format(row_)
fout.write(row_)
return
if __name__ == '__main__':
print_examples()
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