The benchmark interest rate in the United States was last recorded at 4 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This dataset contains the text from Federal Reserve FOMC (Federal Open Market Committee) meeting minutes and statements, collected by scraping the Federal Reserve's website. The data spans a specific period of time, providing insights into the central bank's monetary policy decisions and discussions.

Content

The dataset consists of the following columns:

• Date: The date of the FOMC meeting or statement release in the format YYYYMMDD.
• Type: Indicator for the type of document. 0 represents a statement, while 1 represents meeting minutes.
• Text: The text content of each paragraph in the meeting minutes or statements.

Acknowledgements

The data is collected from the official Federal Reserve website (https://www.federalreserve.gov) using a custom Python scraper built with BeautifulSoup.

Inspiration

This dataset can be used for various purposes, such as:

1. Analyzing the sentiment and tone of FOMC meeting minutes and statements over time.
2. Identifying key phrases and words that indicate changes in monetary policy.
3. Developing natural language processing models to predict future policy decisions based on historical data.
4. Investigating the relationship between FOMC meeting minutes/statements and financial market reactions.

FOMC Meeting Statements & Minutes

This repository automatically scrapes and aggregates the Federal Reserve FOMC meeting statements and minutes - creating a dataset that enables tracking US monetary policy changes through time. It works by polling the website of the U.S. Federal Reserve on a periodic basis and scraping the new statements and minutes as they become available. The scraper runs in a scheduled GitHub Actions workflow, which is available here. The dataset begins in the… See the full description on the dataset page: https://huggingface.co/datasets/vtasca/fomc-statements-minutes.

This dataset contains the textual data of Federal Reserve FOMC meetings statements and minutes.

Column description

• Date - Date of the FOMC meeting.
• Release Date - Release date of the statement/minutes. Note that minutes are usually released with a ~3 week lag from the meeting date.
• Type - Communication type, either a statement or minutes.
• Text - The text content of each communication release.

Update schedule

This dataset is updated on a weekly basis with new data sourced from the Federal Reserve website.

Context

The Federal Reserve sets interest rates to promote conditions that achieve the mandate set by the Congress — high employment, low and stable inflation, sustainable economic growth, and moderate long-term interest rates. Interest rates set by the Fed directly influence the cost of borrowing money. Lower interest rates encourage more people to obtain a mortgage for a new home or to borrow money for an automobile or for home improvement. Lower rates encourage businesses to borrow funds to invest in expansion such as purchasing new equipment, updating plants, or hiring more workers. Higher interest rates restrain such borrowing by consumers and businesses.

Content

This dataset includes data on the economic conditions in the United States on a monthly basis since 1954. The federal funds rate is the interest rate at which depository institutions trade federal funds (balances held at Federal Reserve Banks) with each other overnight. The rate that the borrowing institution pays to the lending institution is determined between the two banks; the weighted average rate for all of these types of negotiations is called the effective federal funds rate. The effective federal funds rate is determined by the market but is influenced by the Federal Reserve through open market operations to reach the federal funds rate target. The Federal Open Market Committee (FOMC) meets eight times a year to determine the federal funds target rate; the target rate transitioned to a target range with an upper and lower limit in December 2008. The real gross domestic product is calculated as the seasonally adjusted quarterly rate of change in the gross domestic product based on chained 2009 dollars. The unemployment rate represents the number of unemployed as a seasonally adjusted percentage of the labor force. The inflation rate reflects the monthly change in the Consumer Price Index of products excluding food and energy.

Acknowledgements

The interest rate data was published by the Federal Reserve Bank of St. Louis' economic data portal. The gross domestic product data was provided by the US Bureau of Economic Analysis; the unemployment and consumer price index data was provided by the US Bureau of Labor Statistics.

Inspiration

How does economic growth, unemployment, and inflation impact the Federal Reserve's interest rates decisions? How has the interest rate policy changed over time? Can you predict the Federal Reserve's next decision? Will the target range set in March 2017 be increased, decreased, or remain the same?

Label Interpretation

LABEL_2: NeutralLABEL_1: HawkishLABEL_0: Dovish

  Citation and Contact Information





  Cite

Please cite our paper if you use any code, data, or models. @inproceedings{shah-etal-2023-trillion, title = "Trillion Dollar Words: A New Financial Dataset, Task {&} Market Analysis", author = "Shah, Agam and Paturi, Suvan and Chava, Sudheer", booktitle = "Proceedings of the 61st Annual Meeting of the Association for… See the full description on the dataset page: https://huggingface.co/datasets/gtfintechlab/fomc_communication.

Federal Reserve FOMC Statements and Minutes

Automatically scraped FOMC meeting statements and minutes from the U.S. Federal Reserve.

  Dataset Structure

Field Type Description

Date timestamp FOMC meeting date

Release Date timestamp Publication date

Type string "Statement" or "Minute"

Text string Full text content

  Source

Data scraped from Federal Reserve FOMC Calendar

  License

CC0 1.0 Universal (Public Domain)… See the full description on the dataset page: https://huggingface.co/datasets/nomnomshark41/fed-fomc-communications.

The benchmark interest rate in Japan was last recorded at 0.50 percent. This dataset provides - Japan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in Canada was last recorded at 2.25 percent. This dataset provides - Canada Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

🏛️ Federal Reserve Document Scraper

1. Dataset description

This repository contains code for downloading and organizing Federal Reserve documents from the official Federal Reserve Board website.

These files were used as part of my NLP project. While collecting data, my data collection code is inspired by centralbank_analysis by yukit-k. However, that implementation had some limitations:

❌ Incomplete handling of newer HTML structures on the Fed website

❌ No support for Greenbook/Tealbook files

❌ File naming and folder structure not ideal for downstream processing

❌ No handling of failed downloads or noisy formatting

So I made som key Improvements:

✅ Supports both Greenbook and Minutes. You can choose which type to download

✅ Automatic directory organization. Files are saved using a consistent format as:

FOMC_[document type]_YYYY-MM-DD

✅ Duplicate check & resume support: Prevents redundant downloads and handles broken links gracefully

✅ Modular and extensible codebase Easy to extend for other Fed documents (e.g., SEP, transcripts)

2. Data detail

This repository contains modules for downloading and processing various official publications of the Federal Open Market Committee (FOMC). These documents, produced and released by the Federal Reserve, provide detailed insight into U.S. monetary policy formation, communication, and economic analysis over time.

Below is a reference guide to the major FOMC document types represented in this repository.

📅 FomcAgenda.py – Meeting Agendas

Agendas are created by the FOMC Secretariat in coordination with the Chair and outline the topics of discussion for each meeting, including standard items (e.g., open market operations, economic outlook) and special topics. Participants receive the agenda about one week in advance.

📄 FomcStatement.py – Policy Statements

FOMC statements are brief summaries of monetary policy decisions released immediately after each meeting. These statements have become a key communication tool since 1994 and are now issued after every scheduled meeting, even if policy remains unchanged.

📝 FomcMinutes.py – Meeting Minutes

Minutes provide a concise, narrative summary of policy discussions and rationales. Since 2004, they are released three weeks after each meeting. The minutes include details on voting outcomes and dissenting views, and are eventually included in the Fed’s Annual Report.

🧾 FomcPresConfScript.py – Press Conference Transcripts

Beginning in 2011, the Fed Chair has held press conferences following certain FOMC meetings. These transcripts document the Chair’s remarks and responses to journalists, offering additional context and forward guidance. Released shortly after the meeting.

🗣️ FomcMeetingScript.py – Meeting Transcripts

Verbatim transcripts of FOMC meetings, produced from audio recordings and lightly edited for readability. They are released with a 5-year delay. For meetings prior to 1994, transcripts were reconstructed from raw records and may contain transcription uncertainties.

📚 FomcGreenbook.py – Greenbook (1964–2010)

The Greenbook, officially titled Current Economic and Financial Conditions, was prepared by Board staff and delivered to FOMC members six days before each meeting. It provided forecasts, data analyses, and economic outlooks.

Part 1: Summary and forecast

Part 2: Detailed breakdowns

Supplement: Late-breaking updates

📘 FomcBlueBook.py – Bluebook (1965–2010)

The Bluebook, titled Monetary Policy Alternatives, outlined potential policy options and risks. It was distributed shortly after the Greenbook and informed FOMC decisions. The document evolved from earlier versions like Money Market and Reserve Relationships.

🧠 FomcTealbook.py – Tealbook (2010–Present)

The Tealbook replaced both the Greenbook and Bluebook in June 2010. It is split into two parts:

Tealbook A: Current Situation and Outlook — Forecasts and financial developments

Tealbook B: Strategies and Alternatives — Policy options and simulations

Both are released with a 5-year lag.

📙 FomcBeigeBook.py – Beige Book

The Beige Book, published eight times a year, summarizes anecdotal economic conditions across the 12 Federal Reserve Districts. Based on business surveys, interviews, and internal reports, it is released ~two weeks before each meeting.

🧾 FomcTestimony.py – Testimony before Congress

This includes the Chair’s Semiannual Monetary Policy Report to Congress and other testimonies. These communications explain the Fed’s outlook and policies directly to lawmakers and the public.

📚 References

Federal Reserve – FOMC Archive

Wikipedia – Federal Open Market Committee

FOMC Meeting Policy Statements Dataset (Year 2000+, updated monthly)

  Overview

This dataset contains the policy statements released by the Federal Open Market Committee (FOMC) following each of its meetings from year 2000 onwords. The FOMC, a component of the U.S. Federal Reserve System, determines monetary policy in the United States. The statements provide insights into the committee’s policy decisions, economic outlook, and forward guidance.

  Background on Policy… See the full description on the dataset page: https://huggingface.co/datasets/fishie-lee/fomc-statements.

FOMC Meeting Minutes Dataset (Year 1993+, updated following each release)

Overview

This dataset contains the detailed minutes of the meetings held by the Federal Open Market Committee (FOMC) from 1993 onwards. The FOMC, a key component of the U.S. Federal Reserve System, is responsible for setting national monetary policy. The minutes provide a comprehensive record of the committee's discussions, including reviews of economic and financial conditions, deliberations on policy options, the range of participants' views, the rationale behind policy decisions, and the specific votes cast by each member. They offer significantly more detail than the policy statements released immediately after the meetings.

Background on Meeting Minutes

The minutes of each regularly scheduled meeting of the Committee provide a timely summary of significant policy issues addressed by meeting participants. The minutes record all decisions taken by the Committee with respect to these policy issues and explain the reasoning behind these decisions. From their emergence in their present form in February 1993 until December 2004, the minutes were published approximately three days after the Committee's subsequent meeting. In December 2004, the Committee decided to expedite the release of its minutes. Since then, the minutes have been made available to the public three weeks after the date of the policy decision, thus reducing the lag in their release by an average of about three weeks. The minutes are subsequently published in the Board's Annual Report.

Data Description

Each row in the dataset represents the minutes from a specific FOMC meeting. The dataset includes the following fields:

• Date: The last day of the FOMC meeting.
• Text: The full, official text of the meeting minutes, often including lists of attendees, summaries of staff reports, detailed accounts of committee discussions, policy directives, and voting records (including dissents).
• Chair: The Chair of the Federal Reserve who presided over the meeting documented in the minutes.

Dataset Description

This dataset contains the actual and predicted federal funds target rate for the United States from 1990 to 2023. The federal funds target rate is the interest rate at which depository institutions lend their excess reserves to each other overnight. It is set by the Federal Open Market Committee (FOMC) and is a key tool used by the Federal Reserve to influence the economy.

The dataset includes the following five columns:

Release Date: The date on which the data was released by the Federal Reserve. Time: The time of day at which the data was released. Actual: The actual federal funds target rate. Predicted: The predicted federal funds target rate. Forecast: The forecast federal funds target rate.

Data Usage

This dataset can be used for a variety of purposes, including: - Analyzing trends in the federal funds target rate over time. - Forecasting the future path of the federal funds target rate. - Assessing the effectiveness of monetary policy. - Data Quality

The data for this dataset is of high quality. The Federal Reserve is a reputable source of data and the data is updated regularly.

Data Limitations

The data for this dataset is limited to the United States. Additionally, the data does not include information on the factors that influenced the Federal Open Market Committee's decision to set the federal funds target rate.

The benchmark interest rate In the Euro Area was last recorded at 2.15 percent. This dataset provides - Euro Area Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

View data of the Effective Federal Funds Rate, or the interest rate depository institutions charge each other for overnight loans of funds.

The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

The data show what are basically frequency distributions of interest rate projections by members of the Federal Open Market Committee (FOMC). The twelve FOMC members vote on (and determine) the federal funds rate, but they also give their projections for future federal funds rates. The projections fall into the ranges given in the first column. Then the projection counts are tallied by current and future FOMC meeting months.

The following is from the Fed FOMC member projections website: https://www.federalreserve.gov/monetarypolicy/fomcprojtabl20230920.htm

Each participant's projections are based on his or her assessment of appropriate monetary policy. Longer-run projections represent each participant's assessment of the rate to which each variable would be expected to converge under appropriate monetary policy and in the absence of further shocks to the economy. The projections for the federal funds rate are the value of the midpoint of the projected appropriate target range for the federal funds rate or the projected appropriate target level for the federal funds rate at the end of the specified calendar year or over the longer run.

Since 2013, the Federal Reserve Board has conducted the Survey of Household Economics and Decision-making (SHED), which measures the economic well-being of U.S. households and identifies potential risks to their finances. The survey includes modules on a range of topics of current relevance to financial well-being including credit access and behaviors, savings, retirement, economic fragility, and education and student loans.

Money Supply M2 in the United States increased to 22298.10 USD Billion in October from 22212.50 USD Billion in September of 2025. This dataset provides - United States Money Supply M2 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Dataset adapted from original work by Shah et al.

  About Dataset

The dataset is a collection of sentences from FOMC speeches, meeting minutes and press releases (see corresponding paper). A subset of the data has been manually annotated as hawkish, dovish, or neutral.

  Label mapping

LABEL 2: Neutral LABEL 1: Hawkish LABEL 0: Dovish

  Counterfactual generation split

Additionally, for counterfactual generation tasks, we add a custom split with target classes in… See the full description on the dataset page: https://huggingface.co/datasets/TextCEsInFinance/fomc-communication-counterfactual.