annotations_creators: []
language:
- en
language_creators: []
license: []
multilinguality:
- monolingual
pretty_name: 2024_global_events_qa
size_categories:
- 1K<n<10K
source_datasets:
- extended|https://huggingface.co/datasets/Reubencf/2024_events
tags:
- adaption
- instruction-tuning
- news
- governance
- legal
task_categories: []
task_ids: []
This dataset is a remastered version of Reubencf/2024_events prepared using Adaption's Adaptive Data platform.
2024_global_events_qa
This dataset contains question-answer pairs detailing significant global events that occurred in 2024, ranging from legal verdicts and geopolitical conflicts to natural disasters and security incidents. Each entry provides a specific prompt about an event followed by a comprehensive, fact-based completion that outlines the circumstances, key figures, and outcomes. The content covers diverse topics including international prisoner exchanges, court rulings, military conflicts, and climate catastrophes, serving as a knowledge resource for recent world history.
Dataset size
There are 5,194 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 -1.2%.
Domain
- News (46%)
- Governance (38%)
- Legal (6%)
Language
- English (100%)
Tone
- Informative (62%)
- Objective (22%)
- Analytical (14%)
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_2024,
author = {Fernandes, Reuben Chagas},
title = {Current Affairs 2024: Wikipedia Current Events Q/A},
year = {2026},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/datasets/Reubencf/current-affairs-2024}}
}
APA-style:
Reuben Chagas Fernandes (2026). Current Affairs 2024: Wikipedia Current Events Q/A [Dataset]. Hugging Face. https://huggingface.co/datasets/Reubencf/current-affairs-2024