Dataset Card for "x-fact"

  Dataset Description





  Dataset Summary

X-FACT is a multilingual dataset for fact-checking with real world claims. The dataset contains short statments in 25 languages with top five evidence documents retrieved by performing google search with claim statements. The dataset contains two additional evaluation splits (in addition to a traditional test set): ood and zeroshot. ood measures out-of-domain generalization where while the language… See the full description on the dataset page: https://huggingface.co/datasets/utahnlp/x-fact.

The results of a survey held in summer 2022 found that the main way to verify news was using Google or another search engine. Fact-checking by reading further on the topic or finding information from experts were also popular strategies, especially for news found on social media.

Fin-Fact - Financial Fact-Checking Dataset

  Overview

Welcome to the Fin-Fact repository! Fin-Fact is a comprehensive dataset designed specifically for financial fact-checking and explanation generation. This README provides an overview of the dataset, how to use it, and other relevant information. Click here to access the paper.

  Dataset Usage

Fin-Fact is a valuable resource for researchers, data scientists, and fact-checkers in the financial domain. Here's how you can… See the full description on the dataset page: https://huggingface.co/datasets/amanrangapur/Fin-Fact.

A survey from July 2022 asked Americans how they felt about the effects of bias in news on their ability to sort out facts, and revealed that 50 percent felt there was so much bias in the news that it was difficult to discern what was factual from information that was not. This was the highest share who said so across all years shown, and at the same time, the 2022 survey showed the lowest share of respondents who believed there were enough sources to be able to sort out fact from fiction.

The US Marshals Service web site.

persuasion-scaling-laws/fact-checking dataset hosted on Hugging Face and contributed by the HF Datasets community

According to the most recently available data, around ********* of Americans feel very confident in their ability to check the accuracy of news stories regarding coronavirus. In an online survey conducted in **********, ** percent of respondents stated they would know how to confirm the accuracy of news and information regarding the COVID-19 pandemic. The majority of participants expressed a moderate level of self confidence in their capacity to fact check, with ** percent somewhat confident.

Replication data for "Fact-Checking Trump’s election lies can improve confidence in U.S. elections: Experimental evidence"

Cofacts Archive for Reported Messages and Crowd-Sourced Fact-Check Replies

The Cofacts dataset encompasses instant messages that have been reported by users of the Cofacts chatbot and the replies provided by the Cofacts crowd-sourced fact-checking community.

  Attribution to the Community

This dataset is a result of contributions from both Cofacts LINE chatbot users and the community fact checkers. To appropriately attribute their efforts, please adhere to the rules… See the full description on the dataset page: https://huggingface.co/datasets/Cofacts/line-msg-fact-check-tw.

State fact sheets provide information on population, income, education, employment, federal funds, organic agriculture, farm characteristics, farm financial indicators, top commodities, and exports, for each State in the United States. Links to county-level data are included when available.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Query tool For complete information, please visit https://data.gov.

The data in this map service is updated every weekend.Note: This data includes all activities regardless of whether there is a spatial feature attached.Note: This is a large dataset. Metadata and Downloads are available at: https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=FACTS+common+attributesTo download FACTS activities layers, search for the activity types you want, such as timber harvest or hazardous fuels treatments. The Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS) is the agency standard for managing information about activities related to fire/fuels, silviculture, and invasive species. This feature class contains the FACTS attributes most commonly needed to describe FACTS activities.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService CSV Shapefile GeoJSON KML https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ActivityFactsCommonAttributes_01/MapServer/0 Geodatabase Download Shapefile Download For complete information, please visit https://data.gov.

Data from several censuses and surveys are available for download from this site. Using the Advanced Search option presented on the homepage, users can easily begin searching for data for their geographic area. The US Census Bureau recommends starting by selecting Geographies to narrow down the area of interest. From there, users can either search by Topic, Race & Ethnic Groups, Industry Codes or EEO Occupation Code. Once a dataset has been selected, users are presented with a variety of options, such as Modify Table, Add/Remove Geographies, Bookmark/Save, Print, Download and Create a Map. Data can be downloaded as a shapefile, PDF, Excel Spreadsheet or Rich Text Format (.rtf).

This dataset represents the results of the 4-digit match performed using the Social Security - Help America Vote Verification (HAVV) system.

🇺🇸 미국

Population and other demographic information is collected by the US Census Bureau.

View the US Census Bureau's Quick Facts page about Bloomington, Indiana at https://www.census.gov/quickfacts

The Demographic Profile and other data for Bloomington can be viewed or downloaded from the American FactFinder search tool: https://factfinder.census.gov/bkmk/cf/1.0/en/place/Bloomington city, Indiana/POPULATION/DECENNIAL_CNT

The Census Bureau is creating a new platform for data. This site is in a preview stage and some parts are under construction. Here is a link for Bloomington: https://data.census.gov/cedsci/results/all?q=Bloomington%20city,%20Indiana&g=1600000US1805860&ps=app*from@SINGLE_SEARCH

The City webpage for Census data contains other related information: https://bloomington.in.gov/about/census-data

Freight Facts and Figures, developed by the Bureau of Transportation Statistics, is a collection of charts and statistical tables about freight transportation in the United States. These visualizations provide a snapshot of freight movement; the extent, condition, and performance of the freight transportation system; the economic characteristics of the transportation industry and its contribution to the U.S. economy; and the safety, energy, and environmental impacts of freight transportation.

GammaCorpus: Fact QA 450k

  What is it?

GammaCorpus Fact QA 450k is a dataset that consists of 450,000 fact-based question-and-answer pairs designed for training AI models on factual knowledge retrieval and question-answering tasks.

  Dataset Summary

Number of Rows: 450,000 Format: JSONL Language: English Data Type: Fact-based questions

  Dataset Structure





  Data Instances

The dataset is formatted in JSONL, where each line is a JSON object… See the full description on the dataset page: https://huggingface.co/datasets/rubenroy/GammaCorpus-Fact-QA-450k.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

🇱🇦 라오스

Monthly trend statistics about HRA programs including Cash Assistance, SNAP, Medicaid, Employment, and Special Services, from the Office of Performance Management and Data Analytics.