picard47at/punctuation_restoration_256

# 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`](https://huggingface.co/datasets/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:

```json
{
  "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的文章，請你恢復正確的標點符號。"
    }
  ]
}