Dataset Card for Trust framework

  Description

Repository: https://github.com/declare-lab/trust-align Paper: https://arxiv.org/abs/2409.11242

  Data Summary

The Trust-score evaluation dataset includes the top 100 GTR-retrieved results for ASQA, QAMPARI, and ExpertQA, along with the top 100 BM25-retrieved results for ELI5. The answerability of each question is assessed based on its accompanying documents. The Trust-align training dataset comprises 19K high-quality… See the full description on the dataset page: https://huggingface.co/datasets/declare-lab/Trust-Data.

The Global Subnational Trust Database (SUB-TRUST) is a dataset in which subnational estimates of social (interpersonal) and political (institutional) trust from 153 countries across the world have been created and harmonized without interpolation. The data are based on nationally representative surveys from over 22 cross-national and national surveys spanning the years 1980 to 2024 (N > 6 million respondents). SUB-TRUST will mainly be useful for researchers and practitioners seeking to understand the variation in trust across subnational entities, countries, institutions, and over time, and the consequences of this variation.

China Trust: Trust Asset data was reported at 27,003,244.000 RMB mn in Jun 2024. This records an increase from the previous number of 23,923,796.000 RMB mn for Dec 2023. China Trust: Trust Asset data is updated quarterly, averaging 20,218,607.000 RMB mn from Mar 2010 (Median) to Jun 2024, with 57 observations. The data reached an all-time high of 27,003,244.000 RMB mn in Jun 2024 and a record low of 2,374,540.000 RMB mn in Mar 2010. China Trust: Trust Asset data remains active status in CEIC and is reported by China Trustee Association. The data is categorized under China Premium Database’s Financial Market – Table CN.ZT: Trust Industry: Trust Asset.

According to a survey conducted at the EmTech Digital conference in March 2019, U.S. business leaders shared their opinions on trust issues with regard to AI data quality and privacy. Nearly half of respondents reported a lack of trust in the quality of AI data in their companies, showing that there is still a long way to go to get quality AI data.

The Office of the District of Columbia Auditor (ODCA) created this database based on documentation provided by the Department of Housing and Community Development (DHCD) and the Office of the Chief Financial Officer (OCFO), as well as ODCA analysis of HPTF expenditures. The database provides detail on all projects that received HPTF funds with loan and/or grant agreements that referenced HPTF funds. The database does not indicate whether any units were actually produced or maintained as affordable. Our data does not reflect whether projects participate in other local and federal housing programs that may impact the number and type of reserved units (i.e. the Local Rent Supplement Program).

As of November 2021 in the United States, ** percent of surveyed participants said that they trusted Amazon to handle their personal data, whereas ** percent said they distrusted the service with their information. Overall, ** percent of respondents said that they did not trust Facebook with their private data, and ** percent said they did not trust TikTok with such information. Just under half of all respondents stated that they trusted Google and ** percent trusted Microsoft.

The City of Austin as approved by Council resolution agreed to serve as the endorsing municipality.

CN: Trust: Trust Asset: Source: Managing Property Trust data was reported at 6,548,711.647 RMB mn in Dec 2023. This records an increase from the previous number of 6,198,883.742 RMB mn for Sep 2023. CN: Trust: Trust Asset: Source: Managing Property Trust data is updated quarterly, averaging 3,019,848.864 RMB mn from Mar 2010 (Median) to Dec 2023, with 56 observations. The data reached an all-time high of 6,548,711.647 RMB mn in Dec 2023 and a record low of 137,687.000 RMB mn in Jun 2010. CN: Trust: Trust Asset: Source: Managing Property Trust data remains active status in CEIC and is reported by China Trustee Association. The data is categorized under China Premium Database’s Financial Market – Table CN.ZT: Trust Industry: Trust Asset.

Comprehensive dataset of 16 Trust banks in Massachusetts, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Listing of Trust Companies in Texas

This table provides information on how many inhabitants of various European countries aged 15 years or older trust other people, the legal system and politics. Figures are from 2002 onwards. The question concerning trust in other people is: Overall, do you think most people can be trusted, or that you can’t be too careful? Trust in the legal system and politics is determined by asking people how much they trust a number of political and organisational institutions, viz. national parliament, the legal system, the police, politicians, political parties, the European Parliament and the United Nations. The figures in this table are based on the European Social Survey (ESS). The ESS is conducted every two years commissioned by the European Committee, the European Science Foundation and various national organisations for scientific research.

Data available from: 2002

Status of the figures: Figures of 2020 are preliminary. Figures of 2002 until 2018 are definite.

Changes as of April 5, 2024. The preliminary figures of 2018 are corrected and made definite. Figures of 2020 are new.

When will new figures be published? New figures will be published in 2025.

This database is part of a state-wide survey in Alaska, USA. An online Qualtrics interface was used to administer the survey to a panel of Alaskan residents from June to August 2020.

This pie chart displays the level of trust people have in Google and Facebook to develop better tools for personal data protection on the Internet in France in a survey from 2019. It shows that 37 percent of the respondents rather did not trust those companies to ensure data protection, while 35 percent declared they rather trusted them.

According to a February 2023 survey, around ** percent of adults in the United States stated that they trust search results less or a great deal less if they were generated by artificial intelligence. Only ** percent these respondents would trust these results more if they were generated by this kind of application, while ** percent didn't change their perception in such case..

Japan Investment Trusts: Distribution of Assets: Others data was reported at 45,709.786 JPY bn in Jun 2018. This records an increase from the previous number of 45,606.071 JPY bn for May 2018. Japan Investment Trusts: Distribution of Assets: Others data is updated monthly, averaging 16,770.060 JPY bn from Jan 1989 (Median) to Jun 2018, with 354 observations. The data reached an all-time high of 48,579.678 JPY bn in Dec 2017 and a record low of 6,251.831 JPY bn in Oct 2003. Japan Investment Trusts: Distribution of Assets: Others data remains active status in CEIC and is reported by The Investment Trusts Association, Japan. The data is categorized under Global Database’s Japan – Table JP.Z028: Publicly Offered Investment Trust: By Category.

Trusts data represents different pages of the Trust & Estate tax return, analogous to SA data for individuals. Trusts returns are filled in by trustees, not beneficiaries. Updated: annually. Data coverage: 2001/02, 2002/03, 2003/04, 2004/05, 2005/06, 2006/07, 2007/08, 2009/10, 2008/09, 1999/00, 2000/01

.TRUST Whois Database, discover comprehensive ownership details, registration dates, and more for .TRUST TLD with Whois Data Center.

China Trust: Trust Asset: Source: Single Fund Trust data was reported at 3,856,618.286 RMB mn in Dec 2023. This records a decrease from the previous number of 3,961,243.433 RMB mn for Sep 2023. China Trust: Trust Asset: Source: Single Fund Trust data is updated quarterly, averaging 7,071,540.218 RMB mn from Mar 2010 (Median) to Dec 2023, with 56 observations. The data reached an all-time high of 12,001,819.130 RMB mn in Dec 2017 and a record low of 1,911,600.000 RMB mn in Mar 2010. China Trust: Trust Asset: Source: Single Fund Trust data remains active status in CEIC and is reported by China Trustee Association. The data is categorized under China Premium Database’s Financial Market – Table CN.ZT: Trust Industry: Trust Asset.

China Trust: Fund Trust: Invest To: Foundational Industry data was reported at 1,634,829.245 RMB mn in Jun 2024. This records an increase from the previous number of 1,517,669.171 RMB mn for Dec 2023. China Trust: Fund Trust: Invest To: Foundational Industry data is updated quarterly, averaging 2,487,900.640 RMB mn from Mar 2010 (Median) to Jun 2024, with 57 observations. The data reached an all-time high of 3,210,000.274 RMB mn in Sep 2017 and a record low of 887,654.000 RMB mn in Mar 2010. China Trust: Fund Trust: Invest To: Foundational Industry data remains active status in CEIC and is reported by China Trustee Association. The data is categorized under China Premium Database’s Financial Market – Table CN.ZT: Investment of Fund Trust.

A worldwide survey carried out in 2024 showed that Boomers are the most concerned about the use of personal data when shopping online. ** percent of them avoided sharing personal details because they did not trust data privacy with AI technologies.