diff --git a/examples/example_dataset_experiment_1.ipynb b/examples/example_dataset_experiment_1.ipynb
new file mode 100644
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--- /dev/null
+++ b/examples/example_dataset_experiment_1.ipynb
@@ -0,0 +1,390 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 0,
+ "metadata": {
+ "colab": {
+ "name": "example_dataset_experiment_1.ipynb",
+ "provenance": [],
+ "authorship_tag": "ABX9TyOsvPHK+8Jh4xDDu7XEdFN0",
+ "include_colab_link": true
+ },
+ "kernelspec": {
+ "name": "python3",
+ "display_name": "Python 3"
+ }
+ },
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "view-in-github",
+ "colab_type": "text"
+ },
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "id": "ykWyVebmAm7E",
+ "outputId": "0f83dacc-5f87-44c3-dd94-5ef7a83304b3",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ }
+ },
+ "source": [
+ "!pip install git+https://github.com/deebuls/deep_evidential_regression_loss_pytorch -q"
+ ],
+ "execution_count": 1,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "text": [
+ " Building wheel for deep-evidential-regression-loss-pytorch (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
+ ],
+ "name": "stdout"
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "id": "2PeUi7VQAwgV",
+ "outputId": "31beb618-33f4-4379-db2d-9f5d8d34ddaf",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ }
+ },
+ "source": [
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "\n",
+ "import torch\n",
+ "from torch.autograd import Variable\n",
+ "import torch.nn.functional as F\n",
+ "import torch.utils.data as Data\n",
+ "\n",
+ "import matplotlib.pyplot as plt\n",
+ "%matplotlib inline\n",
+ "\n",
+ "\n",
+ "torch.manual_seed(1) # reproducible"
+ ],
+ "execution_count": 2,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "tags": []
+ },
+ "execution_count": 2
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "t-VcX5G2Bbbd"
+ },
+ "source": [
+ "## import loss function"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "id": "VkFuMSx9Bdb0"
+ },
+ "source": [
+ "from deep_evidential_regression_loss_pytorch import EvidentialLossSumOfSquares"
+ ],
+ "execution_count": 8,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "SqfGKFgHA4Da"
+ },
+ "source": [
+ "## Create Dataset \n",
+ "\n",
+ "Paper experiment 1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "id": "SVS4u_zyAzhS",
+ "outputId": "1d916c23-c701-4a0a-d4e5-08c42054c23a",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 490
+ }
+ },
+ "source": [
+ "#hide_input\n",
+ "x_lim=[-10,10]; y_lim=[-1.25, 2.25]\n",
+ "x = torch.unsqueeze(torch.linspace(-3, 3, 100), dim=1) # x data (tensor), shape=(100, 1)\n",
+ "test_x = torch.unsqueeze(torch.linspace(-10, 10, 200), dim=1) # x data (tensor), shape=(100, 1)\n",
+ "y = torch.sin( 3 * x) / (3 * x )+ torch.normal(0, 0.02,size=x.size()) # noisy y data (tensor), shape=(100, 1)\n",
+ "test_y = (torch.sin( 3 * test_x) / (3 * test_x )) + torch.normal(0, 0.02,size=test_x.size()) # noisy y data (tensor), shape=(100, 1)\n",
+ "fig, ax = plt.subplots(figsize=(12,7))\n",
+ "plt.cla()\n",
+ "ax.set_title('Dataset', fontsize=35)\n",
+ "ax.set_xlabel('Independent variable', fontsize=24)\n",
+ "ax.set_ylabel('Dependent variable', fontsize=24)\n",
+ "ax.plot(x,y, linewidth=3, label='training data')\n",
+ "ax.plot(test_x, test_y, color='red', alpha=0.5, label='testing data')\n",
+ "ax.legend( )\n",
+ "ax.axvspan(x_lim[0], -3.5, alpha=0.1, color='red')\n",
+ "ax.axvspan(3.5, x_lim[1], alpha=0.1, color='red')\n",
+ "# torch can only train on Variable, so convert them to Variable\n",
+ "x, y = Variable(x), Variable(y)\n",
+ "test_x, test_y = Variable(test_x), Variable(test_y)"
+ ],
+ "execution_count": 4,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "