datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Bitext-events-ticketing-llm-chatbot-training-dataset
Bitext - Events and Ticketing Tagged Training Dataset for LLM-based Virtual Assistants
Overview
This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [events and ticketing] sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-events-ticketing-llm-chatbot-training-dataset.wiki-events-cpt
Wikipedia Events CPT
jhdlee/wiki-events-cpt is a public research dataset of 150 selected English Wikipedia articles with compact metadata for continual pretraining (CPT).
Split
Articles
Event window (end exclusive)
cohort_a
75
2023-01-01 to 2024-10-01
cohort_b
75
2024-10-01 to 2025-09-01
Each cohort has 25 articles per topic: natural_hazards, elections, and sports. Cohorts group events by their reviewed whole-occurrence intervals; they are not… See the full description on the dataset page: https://huggingface.co/datasets/jhdlee/wiki-events-cpt.ukr-wiki-events
Ukrainian Wikipedia events
A small (1,722-row) Ukrainian dataset built from public-domain /
Wikipedia-sourced text. Two task shapes are mixed in the single train
split (distinguishable via the instruction prompt):
Event extraction — instruction = a passage of Ukrainian Wikipedia
text prefixed by "what important event is this text about:";
output = a short label of the salient event.
Explanation / QA — instruction = a question or term (e.g.
"Опиши явище поліплоїдії"); output =… See the full description on the dataset page: https://huggingface.co/datasets/hausmer/ukr-wiki-events.2025_events
2025
Contains all the world event knowledge of 2025
2023_events
2023
Contains all the world event knowledge of 2023
future-news-events-2026
Future News Events — 2026 QA
🏆 Submitted to the Uncharted Data Challenge
hosted by Adaption Labs — credit to
Adaptive Data by Adaption for organizing the hackathon.
A question-answering dataset built on real-world 2026 news events scraped
from the Wikipedia Current Events Portal. Each event was passed to
Cohere Command R with RAG grounding, which generated diverse, factual
question–answer pairs covering what happened, who/where, and
causes/consequences/context.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Reubencf/future-news-events-2026.2024_events
2024
Contains all the world event knowledge of 2024
longcovid-risk-eventtimeseries
Citation
If you find this dataset or our work useful in your research, please consider citing:
Jing Wang, Amar Sra, Jeremy C. Weiss. Active Learning for Forecasting Severity among Patients with Post Acute Sequelae of SARS-CoV-2. arXiv:2506.22444, 2025.
BibTeX:
@misc{longcovid,
title = {Active Learning for Forecasting Severity among Patients with Post Acute Sequelae of SARS-CoV-2},
author = {Jing Wang and Amar Sra and Jeremy C. Weiss},
year = {2025},
eprint = {2506.22444}… See the full description on the dataset page: https://huggingface.co/datasets/juliawang2024/longcovid-risk-eventtimeseries.