Bitext - Mortgage and Loans 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 [Mortgage and Loans] 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-mortgage-loans-llm-chatbot-training-dataset.

As of January 2025, the total value of mortgage loans from banks in Indonesia amounted to nearly 733 trillion Indonesian rupiah. The value of mortgage loans has gradually increased while the loan interest rate decreased over the past year.

Dataset contains the percent of denied mortgages based on the type of dwelling the applicant is applying for and disaggregated by race. Each cell represents the denial rate within that column's race/ethnicity category's total applications. Data pulled from the Consumer Financial Protection Bureau, collected by the Home Mortgage Disclosure Act, which requires many financial institutions to maintain, report, and publicly disclose information about mortgages.

Russia Bank Lending Conditions: Households: Mortgage: Loan Amount data was reported at 0.000 % Point in Mar 2019. This records a decrease from the previous number of 1.190 % Point for Dec 2018. Russia Bank Lending Conditions: Households: Mortgage: Loan Amount data is updated quarterly, averaging -1.031 % Point from Dec 2011 (Median) to Mar 2019, with 30 observations. The data reached an all-time high of 6.818 % Point in Dec 2014 and a record low of -6.098 % Point in Dec 2015. Russia Bank Lending Conditions: Households: Mortgage: Loan Amount data remains active status in CEIC and is reported by The Central Bank of the Russian Federation. The data is categorized under Global Database’s Russian Federation – Table RU.KAC018: Bank Lending Tightness: Loans to Households.

Type of Mortgage Loan:Conventional Mortgage Loans: Backed by private investors and typically require a down payment of 20% or more.Jumbo Loans: Loans that exceed the conforming loan limits set by Fannie Mae and Freddie Mac.Government-insured Mortgage Loans: Backed by the Federal Housing Administration (FHA), Department of Veterans Affairs (VA), or U.S. Department of Agriculture (USDA).Others: Includes non-QM loans, reverse mortgages, and shared equity programs.Mortgage Loan Terms:30-year Mortgage: The most common term, offering low monthly payments but higher overall interest costs.20-year Mortgage: Offers a shorter repayment period and lower long-term interest costs.15-year Mortgage: The shortest term, providing lower interest rates and faster equity accumulation.Others: Includes adjustable-rate mortgages (ARMs) and balloons loans.Interest Rate:Fixed-rate Mortgage Loan: Offers a stable interest rate over the life of the loan.Adjustable-rate Mortgage Loan (ARM): Offers an initial interest rate that may vary after a certain period, potentially leading to higher or lower monthly payments.Provider:Primary Mortgage Lender: Originates and services mortgages directly to borrowers.Secondary Mortgage Lender: Purchases mortgages from originators and packages them into securities for sale to investors. Key drivers for this market are: Digital platforms and AI-driven credit assessments have simplified the application process, improving accessibility and borrower experience. Potential restraints include: Fluctuations in interest rates significantly impact borrowing costs, affecting loan demand and affordability. Notable trends are: The adoption of online portals and mobile apps is transforming the mortgage process with faster approvals and greater transparency.

Mortgage Originations in the United States decreased to 425.63 Billion USD in the first quarter of 2025 from 465.35 Billion USD in the fourth quarter of 2024. This dataset includes a chart with historical data for the United States Mortgage Originations.

The Indonesia Mortgage/Loan Brokers Market report segments the industry into By Type Of Mortgage Loan (Conventional Mortgage Loan, Jumbo Loans, Government-Insured Mortgage Loans, Other Types Of Mortgage Loan), By Mortgage Loan Terms (30- Years Mortgage, 20-Year Mortgage, 15-Year Mortgage, Other Mortgage Loan Terms), By Interest Rate (Fixed-Rate, Adjustable-Rate), and By Provider (Primary Mortgage Lender, Secondary Mortgage Lender).

Since 2012, the average amount of a home purchase loan in the United States has increased substantially. In December 2024, the average mortgage loan amounted to ******* U.S. dollars, up from ******* in 2012. Over the last years, house prices grew rapidly. For homebuyers, that also meant an increase in the amount they had to save for a down payment.

The Asia-Pacific Mortgage/Loan Brokers Market report segments the industry into By Enterprise (Large, Small, Mid-sized), By Applications (Home Loans, Commercial and Industrial Loans, Vehicle Loans, Loans to Governments, Others), By End-User (Businesses, Individuals), and By Country (Australia, Bangladesh, China, India, Indonesia, Japan, Pakistan, Philippines, Thailand, Vietnam).

The North America mortgage/loan brokers market is poised for steady growth, with a market size of XX million and a CAGR of 5.00% during the forecast period of 2025-2033. The market is driven by rising homeownership rates, increasing mortgage interest rates, and growing demand for refinancing. Additionally, the emergence of fintech companies offering innovative mortgage products and services is further propelling market growth. Key market trends include the increasing use of technology to improve the mortgage process, the growing popularity of jumbo loans, and the rising demand for reverse mortgages. However, the market is also subject to certain restraints, such as regulatory changes and economic downturns. Major players in the market include Penny Mac, Home Point, Caliber Home Loans, and Fairway Independent Corporation. The United States is the largest market for mortgage/loan brokers in North America, followed by Canada. Recent developments include: In November 2022, To expand the use of eNotes across 250 locations in 49 states, Primary Residential Mortgage Inc. (PRMI) employed the eVault and digital closing platform from Snapdocs., In August 2022, Due to the slowdown in home sales caused by rising interest rates, the two biggest mortgage lenders in the US are increasing pressure on their smaller rivals by providing discounts and other incentives. The two biggest mortgage originators in the US, Rocket Mortgage and United Wholesale Mortgage, respectively, are pursuing aggressive strategies at a time when many lenders are leaving the market or going out of business.. Notable trends are: Increase in Digitization in Lending and Blockchain Technology is driving the market.

Graph and download economic data for Net Percentage of Domestic Banks Tightening Standards for Non-Qualified Mortgage Non-Jumbo Mortgage Loans (SUBLPDHMSMNQ) from Q1 2015 to Q1 2025 about non-jumbo, tightening standards, mortgage, domestic, Net, percent, loans, banks, depository institutions, and USA.

China Loan: Real Estate Housing Mortgage: Individual: Residential data was reported at 37,680.000 RMB bn in Dec 2024. This records an increase from the previous number of 37,560.000 RMB bn for Sep 2024. China Loan: Real Estate Housing Mortgage: Individual: Residential data is updated quarterly, averaging 21,943.973 RMB bn from Dec 2007 (Median) to Dec 2024, with 57 observations. The data reached an all-time high of 38,940.000 RMB bn in Mar 2023 and a record low of 2,696.833 RMB bn in Dec 2007. China Loan: Real Estate Housing Mortgage: Individual: Residential data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money and Banking – Table CN.KB: Loan: Real Estate Related Loan.

Provides information on repayment details by item and repayment details by maturity

Mortgage Assignment & Release Data refers to information related to the assignment and release of mortgage loans. It provides valuable insights into the transfer of mortgage ownership from one party to another and the subsequent release of the mortgage lien. This data can be essential for various industries, including banking, real estate, legal services, and mortgage lending, enabling them to make informed decisions and mitigate risks associated with mortgage transactions.

What is Assignment and Release Data?

Assignment Data – Assignment data pertains to the transfer of ownership rights of a mortgage loan from one entity to another. This transfer typically occurs when a lender sells or transfers a mortgage loan to another financial institution, such as a bank, credit union, or mortgage-backed security issuer. Assignment data includes information such as the parties involved, the effective date of the assignment, and any relevant terms or conditions.

Release Data – Release data involves the release or satisfaction of a mortgage lien on a property. When a mortgage loan is fully paid off or otherwise satisfied, the lender releases the mortgage lien, allowing the property owner to have clear title. Release data provides details about the release, including the date of release, the parties involved, and any legal documentation associated with the release.

Assignment & Release Property Details:

• 15 Years of Historical Transactions
• Property Address (Where Available)
• Borrower and Ownership Details
• Original, Assignor, and Assignee Lender Name
• Original Mortgage Information

In 2024, United Wholesale Mortgage had the most mortgage loan originations, making it the most active lender that year, with approximately *** million mortgages originated. Besides by number of originations, United Wholesale Mortgage led by origination volume. Rocket Mortgage came second in the ranking with about *** million mortgages.

The Brazil Home Loan Market is segmented By Source (Bank and Housing Finance Companies), By Interest Rate (Fixed Rate and Floating Rate), and By Tenure (Up to 5 Years, 6 - 10 Years, 11 - 24 Years, and 25 - 30 Years). The report offers market size and forecasts in value (USD) for all the above segments.

China Mortgage/Loan Brokers Market is Segmented by Type of Mortgage Loan (Conventional Mortgage Loan, Jumbo Loan, Government-Insured Mortgage Loan, Other Types of Mortgage Loan), by Mortgage Loan Terms (30-Year Mortgage, 20- Year Mortgage, 15-Year Mortgage, Others), by Interest Rate (Fixed-Rate Mortgage Loan, Adjustable-Rate Mortgage Loan) and by Provider (Primary Mortgage Lender, Secondary Mortgage Lender). The Report Offers Market Size and Forecasts for the China Mortgage/Loan Brokers Market in Value (USD) for all the Above Segments.

In 2023, the Government Housing Bank led with the highest number of residential mortgage loans in Thailand, amounting to 35.1 percent. In comparison, Bangkok Bank held 7.1 percent of the market share.

The Qatar Mortgage/Loan Brokers Market report segments the industry into By Type Of Mortgage Loan (Conventional Mortgage Loan, Jumbo Loans, Government-Insured Mortgage Loans, Other Types Of Mortgage Loan), By Mortgage Loan Terms (30- Years Mortgage, 20-Year Mortgage, 15-Year Mortgage, Other Mortgage Loan Terms), By Interest Rate (Fixed-Rate, Adjustable-Rate), and By Provider (Primary Mortgage Lender, Secondary Mortgage Lender).

The North America Mortgage/Loans Broker Market is segmented by Enterprise (Large, Small, and Medium-sized), by Application (Home Loans, Commercial and Industrial Loans, Vehicle Loans, Loans to Governments, and Others), by End- User (Businesses and Individuals) and by Geography (United States and Canada).