diff --git a/R-package/DESCRIPTION b/R-package/DESCRIPTION
index 75f7b938cb29..c9344ceebab7 100755
--- a/R-package/DESCRIPTION
+++ b/R-package/DESCRIPTION
@@ -63,4 +63,4 @@ Imports:
     utils
 SystemRequirements:
     ~~CXXSTD~~
-RoxygenNote: 7.3.1
+RoxygenNote: 7.3.2
diff --git a/R-package/R/lgb.Dataset.R b/R-package/R/lgb.Dataset.R
index ed1216c7986a..45dd01bd5045 100644
--- a/R-package/R/lgb.Dataset.R
+++ b/R-package/R/lgb.Dataset.R
@@ -758,8 +758,13 @@ Dataset <- R6::R6Class(
 )
 
 #' @title Construct \code{lgb.Dataset} object
-#' @description Construct \code{lgb.Dataset} object from dense matrix, sparse matrix
-#'              or local file (that was created previously by saving an \code{lgb.Dataset}).
+#' @description LightGBM does not train on raw data.
+#'              It discretizes continuous features into histogram bins, tries to
+#'              combine categorical features, and automatically handles missing and
+#               infinite values.
+#'
+#'              The \code{Dataset} class handles that preprocessing, and holds that
+#'              alternative representation of the input data.
 #' @inheritParams lgb_shared_dataset_params
 #' @param data a \code{matrix} object, a \code{dgCMatrix} object,
 #'             a character representing a path to a text file (CSV, TSV, or LibSVM),
diff --git a/R-package/man/lgb.Dataset.Rd b/R-package/man/lgb.Dataset.Rd
index 2605657b060a..16b241d4a599 100644
--- a/R-package/man/lgb.Dataset.Rd
+++ b/R-package/man/lgb.Dataset.Rd
@@ -60,8 +60,12 @@ second group, etc.}
 constructed dataset
 }
 \description{
-Construct \code{lgb.Dataset} object from dense matrix, sparse matrix
-             or local file (that was created previously by saving an \code{lgb.Dataset}).
+LightGBM does not train on raw data.
+             It discretizes continuous features into histogram bins, tries to
+             combine categorical features, and automatically handles missing and
+
+             The \code{Dataset} class handles that preprocessing, and holds that
+             alternative representation of the input data.
 }
 \examples{
 \donttest{
diff --git a/docs/env.yml b/docs/env.yml
index a532316ef85d..5c9c3dd73853 100644
--- a/docs/env.yml
+++ b/docs/env.yml
@@ -12,7 +12,7 @@ dependencies:
   - r-markdown=1.12
   - r-matrix=1.6_4
   - r-pkgdown=2.0.7
-  - r-roxygen2=7.3.1
+  - r-roxygen2=7.3.2
   - scikit-learn>=1.4.0
   - sphinx>=6.0
   - sphinx_rtd_theme>=2.0
diff --git a/python-package/lightgbm/basic.py b/python-package/lightgbm/basic.py
index 194d9ca6c5b0..af4d757f480b 100644
--- a/python-package/lightgbm/basic.py
+++ b/python-package/lightgbm/basic.py
@@ -1745,7 +1745,15 @@ def current_iteration(self) -> int:
 
 
 class Dataset:
-    """Dataset in LightGBM."""
+    """
+    Dataset in LightGBM.
+
+    LightGBM does not train on raw data.
+    It discretizes continuous features into histogram bins, tries to combine categorical features,
+    and automatically handles missing and infinite values.
+
+    This class handles that preprocessing, and holds that alternative representation of the input data.
+    """
 
     def __init__(
         self,