datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
trec-covid
TRECCOVID
An MTEB dataset
Massive Text Embedding Benchmark
TRECCOVID is an ad-hoc search challenge based on the COVID-19 dataset containing scientific articles related to the COVID-19 pandemic.
Task category
t2t
Domains
Medical, Academic, Written
Reference
https://ir.nist.gov/covidSubmit/index.html
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_tasks(["TRECCOVID"])… See the full description on the dataset page: https://huggingface.co/datasets/mteb/trec-covid.trec-covid
Dataset Card for BEIR Benchmark
trec-covid is one of the datasets from the Bio-Medical Retrieval task within BEIR, measuring scientific article retrieval for a given query on COVID-19.
Dataset Summary
BEIR is a heterogeneous benchmark built from 18 diverse datasets representing 9 information retrieval tasks.
Fact-checking: FEVER, Climate-FEVER, SciFact
Question-Answering: NQ, HotpotQA, FiQA-2018
Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus
News Retrieval: TREC-NEWS… See the full description on the dataset page: https://huggingface.co/datasets/BeIR/trec-covid.trec-covid-qrels
Dataset Card for BEIR Benchmark
Dataset Summary
BEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:
Fact-checking: FEVER, Climate-FEVER, SciFact
Question-Answering: NQ, HotpotQA, FiQA-2018
Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus
News Retrieval: TREC-NEWS, Robust04
Argument Retrieval: Touche-2020, ArguAna
Duplicate Question Retrieval: Quora, CqaDupstack
Citation-Prediction: SCIDOCS
Tweet… See the full description on the dataset page: https://huggingface.co/datasets/BeIR/trec-covid-qrels.co_video_5co_video_2covid19_emergency_event
Dataset Card for EXCEPTIUS Corpus
Dataset Summary
This dataset presents a new corpus of legislative documents from 8 European countries (Beglium, France, Hunary, Italy, Netherlands, Norway, Poland, UK) in 7 languages (Dutch, English, French, Hungarian, Italian, Norwegian Bokmål, Polish) manually annotated for exceptional measures against COVID-19. The annotation was done on the sentence level.
Supported Tasks and Leaderboards
The dataset can be used for… See the full description on the dataset page: https://huggingface.co/datasets/joelniklaus/covid19_emergency_event.co_video_1covid-cough-detection
COVID-19 Cough Audio Dataset (Processed, Kaldi-style)
This repository contains a fully processed, Kaldi-style version of the COVID-19 cough audio dataset used in my COVID-19 detection project.It includes standardized audio files (16 kHz), a precomputed DTW distance lookup table, and several precomputed feature representations (MFCC, MFSC, Mel spectrograms) to support fast experimentation.
This dataset is intended for researchers and practitioners working on audio classification… See the full description on the dataset page: https://huggingface.co/datasets/marceltomas/covid-cough-detection.ClusTREC-Covid
CLUSTREC-COVID: A Topical Clustering Benchmark for COVID-19 Scientific Research
Dataset Summary
CLUSTREC-COVID is a modified version of the TREC-COVID dataset, transformed into a topical clustering benchmark. The dataset consists of titles and abstracts from scientific papers about COVID-19 research, covering a diverse range of research topics. Each document in the dataset is assigned to a specific subtopic, making it ideal for use in document clustering and topic… See the full description on the dataset page: https://huggingface.co/datasets/Uri-ka/ClusTREC-Covid.COVID-BLUESThis dataset corresponds to the paper COVID-BLUeS -- A Prospective Study on the Value of AI in Lung Ultrasound Analysis published in IEEE Journal of Biomedical and Health Informatics 2025.
If you face a paywell, you can access the pre-final version of the paper on ArXiv: arxiv.org/abs/2509.10556
If you use this dataset, you have to cite our paper:
@article{wiedemann2025covid,
author={Wiedemann, Nina and Boer, Dianne de Korte-de and Richter, Matthias and van de Weijer, Sjors and Buhre… See the full description on the dataset page: https://huggingface.co/datasets/jannisborn/COVID-BLUES.COVID-19-disinformation
COVID-19 Infodemic Multilingual Dataset
This repository contains a multilingual dataset related to the COVID-19 infodemic, annotated with fine-grained labels. The dataset is curated to address questions of interest to journalists, fact-checkers, social media platforms, policymakers, and the general public. The dataset includes tweets in Arabic, Bulgarian, Dutch, and English, focusing on both binary (misinformation detection) and multiclass classification (different types of… See the full description on the dataset page: https://huggingface.co/datasets/QCRI/COVID-19-disinformation.CovidRetrieval
CovidRetrieval
An MTEB dataset
Massive Text Embedding Benchmark
COVID-19 news articles
Task category
t2t
Domains
Medical, Entertainment
Reference
https://arxiv.org/abs/2203.03367
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_tasks(["CovidRetrieval"])
evaluator = mteb.MTEB(task)
model = mteb.get_model(YOUR_MODEL)
evaluator.run(model)
To learn more about how to run… See the full description on the dataset page: https://huggingface.co/datasets/mteb/CovidRetrieval.covid-qa
ConTEB - Covid-QA
This dataset is part of ConTEB (Context-aware Text Embedding Benchmark), designed for evaluating contextual embedding model capabilities. It focuses on the theme of Healthcare, particularly stemming from articles about the COVID-19 pandemic.
Dataset Summary
This dataset was designed to elicit contextual information. It is built upon the COVID-QA dataset. To build the corpus, we start from the pre-existing collection documents, extract the text, and chunk… See the full description on the dataset page: https://huggingface.co/datasets/illuin-conteb/covid-qa.COVID-QA-unique-context-test-10-percent-validation-10-percent
Dataset Card for "COVID-QA-unique-context-test-10-percent-validation-10-percent"
More Information needed
CovidRetrieval
Dataset Card for "CovidRetrieval"
More Information needed
covid_qa_castoriniCovidQA is the beginnings of a question answering dataset specifically designed for COVID-19, built by hand from knowledge gathered from Kaggle's COVID-19 Open Research Dataset Challenge.covid_qa_deepset
Dataset Card for COVID-QA
Dataset Summary
COVID-QA is a Question Answering dataset consisting of 2,019 question/answer pairs annotated by volunteer biomedical experts on scientific articles related to COVID-19.
A total of 147 scientific articles from the CORD-19 dataset were annotated by 15 experts.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
The text in the dataset is in English.
Dataset Structure
Data… See the full description on the dataset page: https://huggingface.co/datasets/deepset/covid_qa_deepset.trec-covid-decontaminated
trec-covid (Decontaminated)
A decontaminated version of the trec-covid dataset from the BEIR benchmark, with samples found in the mgte-en pre-training dataset removed.
Decontamination methodology
Contamination was detected using a two-pass approach against the full mgte-en dataset (484 GB, 1,235 parquet files):
Pass 1: Exact hash matching
All texts (queries and corpus documents) were normalized (lowercased, unicode NFKD, whitespace collapsed) and hashed with… See the full description on the dataset page: https://huggingface.co/datasets/lightonai/trec-covid-decontaminated.CovidQA
CovidQA
An MTEB dataset
Massive Text Embedding Benchmark
LMEB semantic retrieval task based on COVID-QA, retrieving relevant biomedical evidence for COVID-19 questions.
Task category
Retrieval (text-to-text)
Domains
Academic, Medical, Written
Reference
LMEB: Long-horizon Memory Embedding Benchmark
Source datasets:
KaLM-Embedding/LMEB
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb… See the full description on the dataset page: https://huggingface.co/datasets/mteb/CovidQA.covid19-ct-seg
COVID-19 CT Segmentation Dataset
Dataset Description
The COVID-19 CT Segmentation dataset for lung and COVID-19 infection segmentation from CT scans. This dataset contains CT scans with dense segmentation annotations.
Dataset Details
Modality: CT
Target: left lung, right lung, COVID-19 infection
Format: NIfTI (.nii.gz)
Dataset Structure
Each sample in the JSONL file contains:
{
"image": "path/to/image.nii.gz",
"mask":… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/covid19-ct-seg.covid-cxr-classificationCovidRetrieval-qrels
Dataset Card for "CovidRetrieval-qrels"
More Information needed
covid_tweets_japanese
Dataset Card for COVID-19 日本語Twitterデータセット (COVID-19 Japanese Twitter Dataset)
Dataset Summary
53,640 Japanese tweets with annotation if a tweet is related to COVID-19 or not. The annotation is by majority decision by 5 - 10 crowd workers. Target tweets include "COVID" or "コロナ". The period of the tweets is from around January 2020 to around June 2020. The original tweets are not contained. Please use Twitter API to get them, for example.
Supported Tasks and… See the full description on the dataset page: https://huggingface.co/datasets/community-datasets/covid_tweets_japanese.the-reddit-covid-datasetThis dataset attempts to capture the full extent of COVID-19 discussion across the entire site of Reddit. All posts and comments found to mention the term 'COVID' as of 2021-10-25 have been gathered from the site.COVID-19_EUR-LEX
[!NOTE]
Dataset origin: https://portulanclarin.net/repository/browse/covid-19-eur-lex-dataset-multilingual-cef-languages/4dbe6648186d11eb994702420a000409a958a80a367b4b33a599c8cd2aab7383/
Description
Multilingual (CEF languages) corpus acquired from website (https://eur-lex.europa.eu/legal-content) of the EU portal (9th July 2020). It contains 23 TMX files (EN-X, X is a CEF language) with 475,931 translation units pairs in total.
Infoton_Virtual_Cell_Long_Covid_SARS-COV-2covid_fake_newsConstraint@AAAI2021 - COVID19 Fake News Detection in English
@misc{patwa2020fighting,
title={Fighting an Infodemic: COVID-19 Fake News Dataset},
author={Parth Patwa and Shivam Sharma and Srinivas PYKL and Vineeth Guptha and Gitanjali Kumari and Md Shad Akhtar and Asif Ekbal and Amitava Das and Tanmoy Chakraborty},
year={2020},
eprint={2011.03327},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
COVID-19_EU_presscorner_monolingual
[!NOTE]
Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/19444
Description
This collection of monolingual documents was generated from content available at https://ec.europa.eu/commission/presscorner.
It includes 1354 documents in total in the following languages: EN 335 DE 266 ES 115 FR 123 IT 273 EL 120 SV 122
Citation
EU presscorner monolingual collections of COVID-19 related documents. (2020, June 15). Version 1.0. [Dataset (Text corpus)].… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/COVID-19_EU_presscorner_monolingual.covid_qa_ucsd
Dataset Card for [Dataset Name]
Dataset Summary
COVID-Dialogue-Dataset-English is an English medical dialogue dataset about COVID-19 and other types of pneumonia. Patients who are concerned that they may be infected by COVID-19 or other pneumonia consult doctors and doctors provide advice. There are 603 consultations.
COVID-Dialogue-Dataset-Chinese is a Chinese medical dialogue dataset about COVID-19 and other types of pneumonia. Patients who are concerned that they may… See the full description on the dataset page: https://huggingface.co/datasets/UCSD-AI4H/covid_qa_ucsd.Covid