ReubenDataLab/future-news-events-2026

---
annotations_creators: []
language:
- en
language_creators: []
license: []
multilinguality:
- monolingual
pretty_name: 'future_news_events_2026'
size_categories:
- 1K<n<10K
source_datasets:
- 'extended|https://huggingface.co/datasets/Reubencf/wikipedia-current-events-2026'
tags:
- adaption
- instruction-tuning
- news
- governance
- sports
task_categories: []
task_ids: []
---


This dataset is a remastered version of this [dataset](https://huggingface.co/datasets/Reubencf/wikipedia-current-events-2026) prepared using [Adaption's](https://adaptionlabs.ai/app/auth) Adaptive Data platform.

# future_news_events_2026

This dataset contains instruction-completion pairs simulating news headlines and summaries for specific dates in 2026, covering hypothetical geopolitical conflicts, protests, and diplomatic events. Each entry includes structured metadata such as month, year, day, and section, alongside a prompt asking what happened on a specific date and a detailed factual response citing sources. The content focuses on fictional or projected scenarios involving international relations, military actions, and economic impacts primarily centered around the Middle East and other global regions.

### Dataset size

There are 1,909 data points in this dataset. This is an instruction tuning dataset.

### Quality of Remastered Dataset

The final quality is B, with a relative quality improvement of 153.3%.

### Domain
- News (92%)
- Governance (4%)
- Sports (2%)

### Language
- English (100%)

### Tone
- Informative (58%)
- Objective (34%)
- Cautious (8%)

### Evaluation Results

- **Quality Gains:**
<img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/c1cdfb63-7eee-4d36-9a68-dd3098553b44.png" alt="QualityGains" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />

- **Grade Improvement:**
<img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/fe714d34-40a6-491f-b42a-971cee535460.png" alt="Grade" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />

- **Percentile Chart:**
<img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/cc009c10-5fe0-4dd7-819a-89d979271c39.png" alt="Percentile Chart" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />

---
annotations_creators: 无
language:
- 英语
language_creators: 无
license: 无
multilinguality:
- 单语言
pretty_name: 'future_news_events_2026'
size_categories:
- 1000 < 样本数量 < 10000
source_datasets:
- '扩展自https://huggingface.co/datasets/Reubencf/wikipedia-current-events-2026'
tags:
- 适配（Adaption）
- 指令微调（instruction-tuning）
- 新闻
- 治理
- 体育
task_categories: 无
task_ids: 无
---


本数据集为[原数据集](https://huggingface.co/datasets/Reubencf/wikipedia-current-events-2026)的重制版，通过[Adaption](https://adaptionlabs.ai/app/auth)的自适应数据平台制作完成。

# future_news_events_2026

本数据集包含指令-完成样本对（instruction-completion pairs），模拟2026年特定日期的新闻标题与摘要，涵盖假设性地缘政治冲突、抗议活动与外交事件。每条样本均包含结构化元数据，包括月份、年份、日期与板块分类，同时附带用于询问特定日期事件的提示词，以及援引来源的详实事实性回复。数据集内容聚焦于以中东及全球其他地区为核心的虚构或预测性场景，涵盖国际关系、军事行动与经济影响等主题。

### 数据集规模

本数据集共包含1909条样本，属于指令微调数据集。

### 重制版数据集质量

最终质量评级为B级，相对质量提升幅度达153.3%。

### 应用领域
- 新闻（92%）
- 治理（4%）
- 体育（2%）

### 语言
- 英语（100%）

### 语气风格
- 信息性（58%）
- 客观性（34%）
- 审慎性（8%）

### 评估结果

- **质量提升情况：**

- **评级提升情况：**

- **百分位分布图：**