datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
real-or-fake-fake-jobposting-predictionprocessed_fake_job_postingsfake_job_postings_balanced_en
🧠 BALANCED_FAKE_JOB_POSTINGS_EN Dataset
📘 Overview
This dataset is a balanced English version of the original Fake Job Postings dataset from Kaggle:
Real or Fake? Fake Job Posting Prediction.
It contains 1,730 job postings, equally divided between fraudulent (fake) and non-fraudulent (real) listings.
All text fields remain in English, preserving the semantic meaning and structure of the original dataset. Only balancing was performed — no translation or additional… See the full description on the dataset page: https://huggingface.co/datasets/gplsi/fake_job_postings_balanced_en.fake_job_postings_balanced_en
🧠 BALANCED_FAKE_JOB_POSTINGS_EN Dataset
📘 Overview
This dataset is a balanced English version of the original Fake Job Postings dataset from Kaggle:
Real or Fake? Fake Job Posting Prediction.
It contains 1,730 job postings, equally divided between fraudulent (fake) and non-fraudulent (real) listings.
All text fields remain in English, preserving the semantic meaning and structure of the original dataset. Only balancing was performed — no translation or additional… See the full description on the dataset page: https://huggingface.co/datasets/serenityyyyy/fake_job_postings_balanced_en.fake-real-newsreal-or-fake-fake-jobposting-predictionfake-newsreal-or-fake-fake-jobposting-predictionfake_job_post_predictionfake_news_corpus_spanish
Fake News Corpus Spanish
Citation
Gómez-Adorno, H., Posadas-Durán, J. P., Enguix, G. B., & Capetillo, C. P. (2021). Overview of FakeDeS at IberLEF 2021: Fake News Detection in Spanish Shared Task. Procesamiento del Lenguaje Natural, 67, 223-231.
Aragón, M. E., Jarquín, H., Gómez, M. M. Y., Escalante, H. J., Villaseñor-Pineda, L., Gómez-Adorno, H., ... & Posadas-Durán, J. P. (2020, September). Overview of mex-a3t at iberlef 2020: Fake news and aggressiveness analysis in… See the full description on the dataset page: https://huggingface.co/datasets/mariagrandury/fake_news_corpus_spanish.fake-news-detection-dataset-EnglishThis is a cleaned and splitted version of this dataset (https://www.kaggle.com/datasets/sadikaljarif/fake-news-detection-dataset-english)
Labels:
Fake News: 0
Real News: 1
You can find the cleansing script at: https://github.com/ErfanMoosaviMonazzah/Fake-News-Detection
real-or-fake-fake-jobposting-predictionfake_or_real_news
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/Trinisha/fake_or_real_news.FakeRecogna
FakeRecogna
FakeRecogna is a dataset comprised of real and fake news. The real news is not directly linked to fake news and vice-versa, which could lead to a biased classification. The news collection was performed by crawlers developed for mining pages of well-known and of great national importance agency news. The web crawlers were developed based on each analyzed webpage, where the extracted information is first separated into categories and then grouped by dates. The plurality… See the full description on the dataset page: https://huggingface.co/datasets/recogna-nlp/FakeRecogna.covid_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}
}
FakeNewsSpanish_Kaggle2This dataset was obtained from: https://www.kaggle.com/datasets/zulanac/fake-and-real-news
fakerecogna2-abstrativa
FakeRecogna 2.0 - Abstractive
FakeRecogna 2.0 presents the extension for the FakeRecogna dataset in the context of fake news detection. FakeRecogna includes real and fake news texts collected from online media and ten fact-checking sources in Brazil. An important aspect is the lack of relation between the real and fake news samples, i.e., they are not mutually related to each other to avoid intrinsic bias in the data.
The Dataset
The fake news collection was performed on… See the full description on the dataset page: https://huggingface.co/datasets/recogna-nlp/fakerecogna2-abstrativa.spanish-fake-news-fixed
Spanish Fake News Fixed
Este dataset contiene noticias etiquetadas en español, reparado para corregir saltos de línea internos.
fakerecogna2-extrativa
FakeRecogna 2.0 Extractive
FakeRecogna 2.0 presents the extension for the FakeRecogna dataset in the context of fake news detection. FakeRecogna includes real and fake news texts collected from online media and ten fact-checking sources in Brazil. An important aspect is the lack of relation between the real and fake news samples, i.e., they are not mutually related to each other to avoid intrinsic bias in the data.
The Dataset
The fake news collection was performed on… See the full description on the dataset page: https://huggingface.co/datasets/recogna-nlp/fakerecogna2-extrativa.Politifact_fake_newsfake-news-detector-euvsdisinfodata from https://euvsdisinfo.eu/
FakeNewsFake_and_Real_newscentral_de_fatos
Central de Fatos
Dataset Summary
In recent times, the interest for research dissecting the dissemination and prevention of misinformation in the online environment has spiked dramatically.
Given that scenario, a recurring obstacle is the unavailability of public datasets containing fact-checked instances.
In this work, we performed an extensive data collection of such instances from the better part of all major internationally recognized Brazilian fact-checking agencies.… See the full description on the dataset page: https://huggingface.co/datasets/fake-news-UFG/central_de_fatos.Politifact-fake-news-6-categories-for-llama3-1
Dataset compiled for the article "LLaMA 3 vs. State-of-the-Art LLMs: Performance in Detecting Nuanced Fake News"
based on Politifact Factcheck Data, available at https://www.kaggle.com/datasets/shivkumarganesh/politifact-factcheck-data
language:"
- en
license: llama3.1
fake-news40-percent-cleaned-preprocessed-fake-real-newsKaggle based dataset for text classification task. The data has been cleaned and processed for preparation into any model for classification based tasks. This is just 40% of the entire dataset.
fake_news_en_opensources
Dataset Card for "Fake News Opensources"
Dataset Description
Homepage: https://github.com/AndyTheFactory/FakeNewsDataset
Repository: https://github.com/AndyTheFactory/FakeNewsDataset
Point of Contact: Andrei Paraschiv
Dataset Summary
a consolidated and cleaned up version of the opensources Fake News dataset
Fake News Corpus comprises 8,529,090 individual articles, classified into 12 classes: reliable, unreliable, political, bias, fake, conspiracy… See the full description on the dataset page: https://huggingface.co/datasets/andyP/fake_news_en_opensources.fake-news-detector-datasetBengali-Fake-Review-DatasetThis is a binary dataset used for Bengali fake review detection in the paper "Bengali Fake Reviews: A Benchmark Dataset and Detection System" accepted in Neurocomputing, a journal published by Elsevier.
Annotated by 4 native Bangla speakers with more than 90% trustworthiness score.
Fleiss' Kappa Score: 0.83
Number of Taotal Data
Fake - 1339
Non-fake - 7710
Class wise statistics of BFRD dataset
Statistics
Fake
Non-fake
Total words
1,55,789
9,27,902
Total… See the full description on the dataset page: https://huggingface.co/datasets/shawon95/Bengali-Fake-Review-Dataset.