datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
khf_news_labeled
Dataset Card for KHF News Labeled Dataset (Tajikistan)
Dataset Details
Dataset Description
This dataset is an enhanced version of the original
KHF News Dataset.
It contains 5,539 news articles from the official website of the Committee
for Emergency Situations and Civil Defense of Tajikistan
(www.khf.tj), labelled with crisis-related categories
using a LLaMA-3 8B model in a zero-shot setting. The articles cover the
period from 2016 to 2025.
Curated… See the full description on the dataset page: https://huggingface.co/datasets/TajikNLPWorld/khf_news_labeled.africa-kenya-harmonized-health-facility-assessment-khfa-2018-2019
Kenya Harmonized Health Facility Assessment (KHFA), 2018/2019 | Africa (original)
Size category: n<1K - Formats: parquet - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Health datasets help researchers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-kenya-harmonized-health-facility-assessment-khfa-2018-2019.khfhkhfkhftwitter-kegalley15-2026.01.16-2012019182045708655-KhFVH7HjcdMel96g-part1khf_news
Dataset Card for KHF News Dataset
Dataset Details
Dataset Description
This dataset contains news articles published on the official website of the Committee for Emergency Situations and Civil Defense under the Government of the Republic of Tajikistan (www.khf.tj). The articles cover a wide range of topics related to emergency situations, disaster response, civil defense, and government activities in Tajikistan. The dataset is intended for NLP… See the full description on the dataset page: https://huggingface.co/datasets/TajikNLPWorld/khf_news.khfkhfiQirmkHF2FsSmKhfgd