diff --git a/R/forest_fires_docs.R b/R/forest_fires_docs.R
new file mode 100644
index 0000000..f2b004a
--- /dev/null
+++ b/R/forest_fires_docs.R
@@ -0,0 +1,42 @@
+#' Forest Fires Data Set
+#'
+#' The aim is to predict the burned area of forest fires, in the northeast
+#' region of Portugal, by using meteorological and other data
+#'
+#' @format A data frame with 517 observations on the following 13 variables.
+#' - `X`
+#'     - x-axis spatial coordinate within the Montesinho park map: 1 to 9
+#' - `Y`
+#'     - y-axis spatial coordinate within the Montesinho park map: 2 to 9
+#' - `month`
+#'     - month of the year: "jan" to "dec"
+#' - `day`
+#'     - day of the week: "mon" to "sun"
+#' - `FFMC`
+#'     - FFMC index from the FWI system: 18.7 to 96.20
+#' - `DMC`
+#'     - DMC index from the FWI system: 1.1 to 291.3
+#' - `DC`
+#'     - DC index from the FWI system: 7.9 to 860.6
+#' - `ISI`
+#'     - ISI index from the FWI system: 0.0 to 56.10
+#' - `temp`
+#'     - temperature in Celsius degrees: 2.2 to 33.30
+#' - `RH`
+#'     - relative humidity in %: 15.0 to 100
+#' - `wind`
+#'     - wind speed in km/h: 0.40 to 9.40
+#' - `rain`
+#'     - outside rain in mm/m2 : 0.0 to 6.4
+#' - `area`
+#'     - the burned area of the forest (in ha): 0.00 to 1090.84#'
+#' @source
+#' Paulo Cortez, pcortez '@' dsi.uminho.pt, Department of Information Systems, University of Minho, Portugal.
+#' Aníbal Morais, araimorais '@' gmail.com, Department of Information Systems, University of Minho, Portugal.
+#' @references
+#' [ P. Cortez and A. Morais. A Data Mining Approach to Predict Forest Fires using Meteorological Data. In J. Neves, M. F. Santos and J. Machado Eds., New Trends in Artificial Intelligence, Proceedings of the 13th EPIA 2007 - Portuguese Conference on Artificial Intelligence, December, Guimarães, Portugal, pp. 512-523, 2007. APPIA, ISBN-13 978-989-95618-0-9](http://www.dsi.uminho.pt/~pcortez/fires.pdf)
+#' <https://archive.ics.uci.edu/ml/machine-learning-databases/forest-fires/forestfires.csv>
+#' <https://archive.ics.uci.edu/ml/datasets/Forest+Fires>
+"forest_fires"
+
+
diff --git a/README.Rmd b/README.Rmd
index c18562d..da75210 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -78,6 +78,7 @@ The following data sets are included in the `ucidata` package:
 - [`bike_sharing_daily`](https://archive.ics.uci.edu/ml/datasets/bike+sharing+dataset)
 - [`bridges`](https://archive.ics.uci.edu/ml/datasets/Pittsburgh+Bridges)
 - [`car_eval`](https://archive.ics.uci.edu/ml/datasets/Car+Evaluation)
+- [`forest_fires`](https://archive.ics.uci.edu/ml/datasets/Forest+Fires)
 - [`glass`](https://archive.ics.uci.edu/ml/datasets/Glass+Identification)
 - [`hepatitis`](https://archive.ics.uci.edu/ml/datasets/hepatitis)
 - [`wine`](https://archive.ics.uci.edu/ml/datasets/wine)
diff --git a/README.md b/README.md
index 42961de..43b90cb 100644
--- a/README.md
+++ b/README.md
@@ -62,6 +62,7 @@ The following data sets are included in the `ucidata` package:
 -   [`bike_sharing_daily`](https://archive.ics.uci.edu/ml/datasets/bike+sharing+dataset)
 -   [`bridges`](https://archive.ics.uci.edu/ml/datasets/Pittsburgh+Bridges)
 -   [`car_eval`](https://archive.ics.uci.edu/ml/datasets/Car+Evaluation)
+-   [`forest_fires`](https://archive.ics.uci.edu/ml/datasets/Forest+Fires)
 -   [`glass`](https://archive.ics.uci.edu/ml/datasets/Glass+Identification)
 -   [`hepatitis`](https://archive.ics.uci.edu/ml/datasets/hepatitis)
 -   [`wine`](https://archive.ics.uci.edu/ml/datasets/wine)
diff --git a/data-raw/forest_fires_build.R b/data-raw/forest_fires_build.R
new file mode 100644
index 0000000..6fd53ef
--- /dev/null
+++ b/data-raw/forest_fires_build.R
@@ -0,0 +1,8 @@
+### UCI Irvine
+## Forest Fire Data https://archive.ics.uci.edu/ml/datasets/Forest+Fires
+
+url_forest_fires = "https://archive.ics.uci.edu/ml/machine-learning-databases/forest-fires/forestfires.csv"
+
+forest_fires = read.csv(url_forest_fires, header = TRUE)
+
+devtools::use_data(forest_fires, overwrite = TRUE)
diff --git a/data/forest_fires.rda b/data/forest_fires.rda
new file mode 100644
index 0000000..8a26aca
Binary files /dev/null and b/data/forest_fires.rda differ
diff --git a/man/forest_fires.Rd b/man/forest_fires.Rd
new file mode 100644
index 0000000..a6f804d
--- /dev/null
+++ b/man/forest_fires.Rd
@@ -0,0 +1,78 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/forest_fires_docs.R
+\docType{data}
+\name{forest_fires}
+\alias{forest_fires}
+\title{Forest Fires Data Set}
+\format{A data frame with 517 observations on the following 13 variables.
+\itemize{
+\item \code{X}
+\itemize{
+\item x-axis spatial coordinate within the Montesinho park map: 1 to 9
+}
+\item \code{Y}
+\itemize{
+\item y-axis spatial coordinate within the Montesinho park map: 2 to 9
+}
+\item \code{month}
+\itemize{
+\item month of the year: "jan" to "dec"
+}
+\item \code{day}
+\itemize{
+\item day of the week: "mon" to "sun"
+}
+\item \code{FFMC}
+\itemize{
+\item FFMC index from the FWI system: 18.7 to 96.20
+}
+\item \code{DMC}
+\itemize{
+\item DMC index from the FWI system: 1.1 to 291.3
+}
+\item \code{DC}
+\itemize{
+\item DC index from the FWI system: 7.9 to 860.6
+}
+\item \code{ISI}
+\itemize{
+\item ISI index from the FWI system: 0.0 to 56.10
+}
+\item \code{temp}
+\itemize{
+\item temperature in Celsius degrees: 2.2 to 33.30
+}
+\item \code{RH}
+\itemize{
+\item relative humidity in %: 15.0 to 100
+}
+\item \code{wind}
+\itemize{
+\item wind speed in km/h: 0.40 to 9.40
+}
+\item \code{rain}
+\itemize{
+\item outside rain in mm/m2 : 0.0 to 6.4
+}
+\item \code{area}
+\itemize{
+\item the burned area of the forest (in ha): 0.00 to 1090.84#'
+}
+}}
+\source{
+Paulo Cortez, pcortez '@' dsi.uminho.pt, Department of Information Systems, University of Minho, Portugal.
+Aníbal Morais, araimorais '@' gmail.com, Department of Information Systems, University of Minho, Portugal.
+}
+\usage{
+forest_fires
+}
+\description{
+The aim is to predict the burned area of forest fires, in the northeast
+region of Portugal, by using meteorological and other data
+}
+\references{
+\href{http://www.dsi.uminho.pt/~pcortez/fires.pdf}{ P. Cortez and A. Morais. A Data Mining Approach to Predict Forest Fires using Meteorological Data. In J. Neves, M. F. Santos and J. Machado Eds., New Trends in Artificial Intelligence, Proceedings of the 13th EPIA 2007 - Portuguese Conference on Artificial Intelligence, December, Guimarães, Portugal, pp. 512-523, 2007. APPIA, ISBN-13 978-989-95618-0-9}
+\url{https://archive.ics.uci.edu/ml/machine-learning-databases/forest-fires/forestfires.csv}
+\url{https://archive.ics.uci.edu/ml/datasets/Forest+Fires}
+}
+\keyword{datasets}