---
license: cc-by-nc-sa-4.0
language:
- zh
task_categories:
- text-generation
tags:
- Taiwan
- pretrain
size_categories:
- 100K<n<1M
dataset_info:
  features:
  - name: text
    dtype: string
  - name: token_count
    dtype: int64
  - name: word_count
    dtype: int64
  - name: url
    dtype: string
  - name: updated_at
    dtype: string
  splits:
  - name: train
    num_bytes: 1856238472
    num_examples: 648576
  download_size: 1856238472
  dataset_size: 1856238472
configs:
- config_name: default
  data_files:
  - split: train
    path: datasets.jsonl
---
# Dataset Card for tw-news-551M

<!-- Provide a quick summary of the dataset. -->
tw-news-551M 是一個台灣繁體中文之長文本預訓練語料集，包含 648,576 篇文章，總計約 5.63 億 tokens。涵蓋政治、社會、文化、環境、科技等多元主題，適用於語言模型在繁體中文語境之持續預訓練。

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->
本資料集彙整台灣繁體中文之公開文章，涵蓋政治、社會、文化、環境、科技等多元主題。每筆資料包含文章全文與 token/字數等統計元資料。

- **Curated by:** [Liang Hsun Huang](https://www.linkedin.com/in/lianghsunhuang/?locale=en_US)
- **Language(s) (NLP):** Traditional Chinese
- **License:** CC BY-NC-SA 4.0

### Dataset Sources

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

- **Repository:** [lianghsun/tw-news-551M](https://huggingface.co/datasets/lianghsun/tw-news-551M/)

## Uses

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

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

本資料集主要設計用於：
* 語言模型在繁體中文之持續預訓練（continued pretraining），提升對台灣時事議題與中文長文本之理解；
* 建構檢索增強生成（RAG）系統之語料庫；
* 訓練繁體中文之文本分類、摘要或主題模型。

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
本資料集不適用於下列用途：
* 直接作為指令微調資料，因不包含問答或對話結構。
* 作為事實查核之權威來源，因文章內容可能帶有個人立場或觀點。
* 用於非繁體中文語境之語言模型訓練。

## 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
{
  "text": "...",
  "token_count": 2610,
  "word_count": 2972,
  "url": "https://example.com/article/12345",
  "updated_at": "2024-12-23"
}
```

| 欄位 | 說明 |
|---|---|
| `text` | 文章全文 |
| `token_count` | 文章 token 數 |
| `word_count` | 文章字數 |
| `url` | 原始來源識別字串 |
| `updated_at` | 資料更新日期 |

| 統計項目 | 數值 |
|---|---|
| 文章數 | 648,576 |
| 總 tokens | ~562.9M |
| 平均 tokens/篇 | 867 |
| 平均字數/篇 | 974 |

## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

繁體中文語言模型在台灣語境之表現受限於高品質預訓練資料之不足。本資料集彙整台灣繁體中文之公開長文本，補充現有預訓練資料在繁體中文領域之缺口。

### 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. -->

文章為台灣繁體中文之公開內容彙整，並計算每篇文章之 token 數與字數等統計值。

#### 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. -->

原始文章由不同作者獨立撰寫，不屬於單一組織或機構。

### Annotations

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

#### Annotation process

本資料集不包含額外標註。

#### Who are the annotators?

不適用。

#### 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. -->
本資料集內容為公開發表之長文本。文章中可能提及公眾人物姓名與社會議題觀點，均為原始文章內容之一部分。

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

* 文章可能帶有特定立場或個人觀點，模型訓練時應注意偏差問題。
* 資料內容之主題分佈可能不均衡，無法完整代表台灣繁體中文之全貌。
* 文章內容具時效性，部分內容可能已過時。
* 部分內容可能涉及爭議性議題。

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

建議使用者在預訓練時搭配多元來源之語料，以降低單一語料偏差之影響。涉及事實性內容時，應搭配其他權威資料來源進行交叉驗證。

## Citation

```bibtex
@misc{tw-news-551M,
  title        = {tw-news-551M: Taiwan Traditional Chinese Long-form Pre-training Corpus},
  author       = {Liang Hsun Huang},
  year         = {2024},
  howpublished = {\url{https://huggingface.co/datasets/lianghsun/tw-news-551M}},
  note         = {648,576 long-form articles (~562.9M tokens) in Traditional Chinese for pre-training.}
}
```

## Dataset Card Authors

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

## Dataset Card Contact

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