Reubencf/current-affairs-2026

This dataset is a remastered version of Reubencf/future-news-events-2026 prepared using Adaption's Adaptive Data platform.

future_news_2026_qa

This dataset contains 5,447 question-answer pairs derived from real-world news events occurring in 2026, sourced from the Wikipedia Current Events Portal. Generated using Cohere Command R with RAG grounding, the entries cover diverse topics including conflicts, arrests, and political developments with factual details on who, what, where, and why. The data is formatted in English for question-answering and text-generation tasks, focusing specifically on events from January to April 2026.

Dataset size

There are 5,339 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 100.0%.

Domain

• News (50%)
• History (22%)
• Governance (12%)

Language

• English (100%)

Tone

• Informative (70%)
• Cautious (14%)
• Objective (8%)

Evaluation Results

• Quality Gains:

  

• Grade Improvement:

  

• Percentile Chart:

  

Citation

If you use this dataset in your research or downstream work, please cite:

@misc{current_affairs_2026,
  author       = {Fernandes, Reuben Chagas},
  title        = {Current Affairs 2026: Wikipedia Current Events Q/A},
  year         = {2026},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/Reubencf/current-affairs-2026}}
}

APA-style:

Reuben Chagas Fernandes (2026). Current Affairs 2026: Wikipedia Current Events Q/A [Dataset]. Hugging Face. https://huggingface.co/datasets/Reubencf/current-affairs-2026