| import os |
| import json |
| import pandas as pd |
|
|
| folder_path = "双语数据\史记\七十列传" |
| |
| def get_files(folder_path): |
| subfolders = [f.path for f in os.scandir(folder_path) if f.is_dir()] |
| print(subfolders) |
| dataset = [] |
| |
| source_file = "source.txt" |
| target_file = "target.txt" |
| for x in subfolders: |
| with open(os.path.join(x,source_file) , "r", encoding="utf-8") as f: |
| source_content = f.read() |
| with open(os.path.join(x,target_file), "r", encoding="utf-8") as f: |
| target_content = f.read() |
| |
| source_content = source_content.split("\n") |
| target_content = target_content.split("\n") |
| |
| for i in range(len(source_content)): |
| dataset.append([source_content[i], target_content[i]]) |
| return dataset |
| dataset = get_files(folder_path) |
| |
| # add one column "instruction" with the content "请把古文翻译成现代汉语" to the dataset |
| df = pd.DataFrame(dataset, columns=["source", "target"]) |
| df["instruction"] = "请把现代汉语翻译成古文" |
|
|
| df.rename(columns={"source": "output", "target": "input"}, inplace=True) |
|
|
| print(len(df)) |
|
|
| df.to_json("dataset.jsonl", orient="records", lines=True, force_ascii=False) |
