diff --git a/notebooks/data/Auto_mpg/README.md b/notebooks/data/Auto_mpg/README.md
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+# Context
+
+Mileage per gallon performances of various cars. The data is technical specs of cars.   
+Origin: This dataset was taken from the StatLib library which is
+maintained at Carnegie Mellon University. The dataset was
+used in the 1983 American Statistical Association Exposition.
+(c) Date: July 7, 1993
+
+# Content
+
+The dataset has 398 entries and 9 attributes.
+This file contains the basic information (mpg, cylinders, displacement, horsepower, weight, acceleration, model year, origin, car name) about the cars. Be careful, there are 6 invalid values in the 'horsepower' column.
+
+# Example Entries
+
+|mpg|cylinders|displacement|horsepower|weight|acceleration|model year|origin|car name|
+|----|----|----|----|----|----|----|----|----|
+|18|8|307|130|3504|12|70|1|chevrolet chevelle malibu|
+|15|8|350|165|3693|11.5|70|1|buick skylark 320|
+|18|8|318|150|3436|11|70|1|plymouth satellite|
+|16|8|304|150|3433|12|70|1|amc rebel sst|
+|17|8|302|140|3449|10.5|70|1|ford torino|
+
+
+# Credit
+
+Dataset acquired from [Kaggle](https://www.kaggle.com/uciml/autompg-dataset)
+
diff --git a/notebooks/data/Auto_mpg/ReadMe.md b/notebooks/data/Auto_mpg/ReadMe.md
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-https://www.kaggle.com/shubhampundir/autompg-dataset
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diff --git a/notebooks/data/Letters/README.md b/notebooks/data/Letters/README.md
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+# Context
+
+This dataset holds example images(28x28 pixels) of handwritten letters. 
+
+# Content
+
+The dataset has 1499 training and 3999 test images with labels.
+
+# Credit
+## Test Data
+Dataset acquired from [Kaggle](https://www.kaggle.com/crawford/emnist?select=emnist-letters-test.csv)
+
+## Train Data
+Dataset acquired from [Kaggle](https://www.kaggle.com/crawford/emnist/version/3?select=emnist-letters-train.csv)
diff --git a/notebooks/data/Letters/ReadMe.md b/notebooks/data/Letters/ReadMe.md
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-## Test Data
-https://www.kaggle.com/crawford/emnist?select=emnist-letters-test.csv
-
-## Train Data
-https://www.kaggle.com/crawford/emnist/version/3?select=emnist-letters-train.csv
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diff --git a/notebooks/exercises/exercise_deep_learning.ipynb b/notebooks/exercises/exercise_deep_learning.ipynb
index 1d51aee20b7b3ef038caf82a6fcdc4d3e0a90bac..c06ea022f1862185bf2d6afeeb03066b77328af1 100644
--- a/notebooks/exercises/exercise_deep_learning.ipynb
+++ b/notebooks/exercises/exercise_deep_learning.ipynb
@@ -41,7 +41,7 @@
    "metadata": {},
    "source": [
     "## Load Test and Trainig Data\n",
-    "We reduced the training dataset to **15000** and the test dataset to **4000** entries. Otherwise the nodebook will fail because of RAM issues (especially for the **Raspberry PI 3**)   \n",
+    "We reduced the training dataset to **14999** and the test dataset to **3999** entries. Otherwise the nodebook will fail because of RAM issues (especially for the **Raspberry PI 3**)   \n",
     "Unfortunately it will reduce the accuracy of the model"
    ]
   },