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.

United States - FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Range, Midpoint was 1.55000 Fourth Qtr. to Fourth Qtr. % Chg. in January of 2027, according to the United States Federal Reserve. Historically, United States - FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Range, Midpoint reached a record high of 5.55000 in January of 2021 and a record low of -2.15000 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Range, Midpoint - last updated from the United States Federal Reserve on August of 2025.

The FOMC Minutes are detailed records of the Federal Open Market Committee's meetings, providing insights into the deliberations and economic assessments that influence U.S. monetary policy decisions.

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.

Textual Time Series Dataset for finetuning / pretraining. Json version of original dataset. Original Dataset : https://www.kaggle.com/datasets/vladtasca/fomc-meeting-statements-and-minutes

Graph and download economic data for FOMC Summary of Economic Projections for the Fed Funds Rate, Median (FEDTARMD) from 2025 to 2027 about projection, federal, median, rate, and USA.

United States - FOMC Summary of Economic Projections for the Fed Funds Rate, Median was 3.10% in January of 2027, according to the United States Federal Reserve. Historically, United States - FOMC Summary of Economic Projections for the Fed Funds Rate, Median reached a record high of 5.40 in January of 2023 and a record low of 0.10 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - FOMC Summary of Economic Projections for the Fed Funds Rate, Median - last updated from the United States Federal Reserve on August of 2025.

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.

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