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Download README.md from yuwei1289/LLMclass: direct link, hf CLI and curl.
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https://huggingface.co/datasets/yuwei1289/LLMclass/resolve/main/README.md
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hf download hf://datasets/yuwei1289/LLMclass/README.md
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curl -L -o README.md https://huggingface.co/datasets/yuwei1289/LLMclass/resolve/main/README.md
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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)