---
license: cc-by-nc-sa-4.0
task_categories:
- text-generation
language:
- zh
- en
tags:
- Taiwan
- patent
- intellectual-property
size_categories:
- 1K<n<10K
---
# Dataset Card for tw-patent-newsletter

<!-- Provide a quick summary of the dataset. -->
本資料集收錄中華民國智慧財產權主管機關發行之《智慧財產權月刊》PDF 文本內容，經 OCR／PDF 解析轉為純文字，每筆樣本對應月刊中的一個段落，並保留原始 PDF 檔名作為來源追蹤。

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->
《智慧財產權月刊》（Intellectual Property Right Journal）由中華民國智慧財產權主管機關每月 1 日出刊，內容涵蓋專利、商標、著作權法制、訴訟實務、國內外智財新聞等專業文章。本資料集將月刊 PDF 解析為純文字段落，可作為智慧財產權／專利法相關之繁體中文語料。

部分樣本同時包含中、英文版本（雙語對照），可作為中英平行語料的參考。

- **Curated by:** [Huang Liang Hsun](https://www.linkedin.com/in/lianghsunhuang/?locale=en_US)
- **Language(s) (NLP):** Traditional Chinese, English
- **License:** cc-by-nc-sa-4.0

### Dataset Sources

<!-- Provide the basic links for the dataset. -->

- **Repository:** [lianghsun/tw-patent-newsletter](https://huggingface.co/datasets/lianghsun/tw-patent-newsletter)
- **Source:** 中華民國智慧財產權主管機關《智慧財產權月刊》公開資料
- **Paper:** TBA

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->
* 訓練／持續預訓練面向智慧財產權的繁體中文語言模型。
* 作為專利法、商標法、著作權實務之專業領域語料。
* 中英對照部分可作為中英平行語料的補充。

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
* 不適用作為法律意見之來源；月刊內容為論述／評論，並非法規本身。
* 由於部分內容係 PDF 解析所得，OCR 噪音可能影響條列項目、表格與英文夾雜段落的可讀性。

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
```jsonl
{
  "filename": "智慧財產權月刊第226期.pdf",
  "text": "第 226 期\n中華民國 106 年 10 月\n智慧財產權月刊\n..."
}
```

欄位說明：
* `filename`：原始 PDF 檔名（含期數）。
* `text`：對應段落／版面之文字內容。

## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->
智慧財產權領域的專業中文語料相對稀缺，但本月刊內容嚴謹、涵蓋面廣、屬於公開資源。將其結構化後，可成為專利／商標／著作權相關 NLP 任務的良好補充語料。

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
1. 從公開可取得的來源下載各期月刊 PDF。
2. 對 PDF 做版面解析與文字抽取（含中英文雙欄）。
3. 以版面區塊為單位輸出 JSONL。

#### Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
原始月刊內容由智慧財產權主管機關編輯並公開出版。

### Annotations

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

#### Annotation process

<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
無人工標註。

#### Who are the annotators?

<!-- This section describes the people or systems who created the annotations. -->
無標註者。

#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
月刊為公開出版品，所提及之人名多為作者、編委會成員或案件當事人之公開姓名，並非隱私資料。

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->
* PDF 解析過程可能造成段落順序錯亂、表格破損、頁眉頁腳混入正文等噪音。
* 文章作者觀點不一定代表主管機關立場，亦不代表通說，使用時請勿過度信賴單篇論述。

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
建議在訓練前再做一次去重與簡單的版面雜訊清理；下游若用於 RAG，應補充原始期數／頁碼，方便使用者回溯來源。

## Citation

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
```bibtex
@misc{tw_patent_newsletter,
  title        = {tw-patent-newsletter: Taiwan Intellectual Property Monthly Journal Corpus},
  author       = {Huang, Liang Hsun},
  year         = {2025},
  howpublished = {\url{https://huggingface.co/datasets/lianghsun/tw-patent-newsletter}}
}
```

## Dataset Card Authors

[Huang Liang Hsun](https://www.linkedin.com/in/lianghsunhuang/?locale=en_US)

## Dataset Card Contact

[Huang Liang Hsun](https://www.linkedin.com/in/lianghsunhuang/?locale=en_US)