picard47at/punctuation_restoration_600_complex

# punctuation_restoration

## Dataset Summary

This dataset is designed for instruction fine-tuning of large language models (LLMs), especially for the Qwen3 family, to perform punctuation restoration on Mandarin Chinese text.

It is derived from the `AWeirdDev/zh-tw-articles-6k` dataset. The context field is processed to create input-output pairs in the Qwen3-style message format.

• —🔧 User message: A cleaned version of the article with all punctuation removed, spaces added where punctuation was, and an instruction prefix.
• —✍️ Assistant message: The original article with punctuation.
• —🧠 Use Case: Fine-tuning Qwen3 or similar chat-style LLMs to restore punctuation from flat text.

## Format

Each sample in the dataset follows this structure:

    {
      "messages": [
        {
          "role": "user",
          "content": "Your task is to restore the punctuations of this article:\nZhe li shi yi ge mei you biao dian de wen zhang ..."
        },
        {
          "role": "assistant",
          "content": "這裡是一個沒有標點或者標點不全的文章，請你恢復正確的標點符號。"
        }
      ]
    }