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+<!DOCTYPE HTML>
+<html>
+	<head>
+		<title>Dataset</title>
+		<meta charset="utf-8" />
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+		<link rel="stylesheet" href="assets/css/main.css" />
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+	<body class="is-preload">
+		<div id="page-wrapper">
+
+			<!-- Header -->
+			<header id="header">
+				<nav id="nav">
+					<ul>
+							<li><a href="index.html">Home</a></li>
+							<li><a href="model-deployment.html">Model Deployment</a></li>
+							<li>
+								<a href="#">Concepts</a>
+								<ul>
+									<li><a href="model-architecture.html">Model Architeture</a></li>
+									<li>
+										<a href="#">Methodology</a>
+										<ul>
+											<li><a href="dataset.html">Dataset</a></li>
+											<li><a href="preprocessing.html">Preprocessing</a></li>										
+											<li><a href="results.html">Results</a></li>
+										</ul>
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+									<li><a href="future-scope.html">Future Scope</a></li>
+								</ul>
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+				<div class="container">
+					<header class="major">
+						<h2>Dataset</h2>
+						
+					</header>
+					<center>
+						<p>
+							The brain CT <a href="https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/data">dataset</a> was provided by the <a href="https://www.rsna.org/">Radiological Society of North America (RSNA®)</a> in collaboration with members of the American Society of Neuroradiology and MD.ai which is freely available for practitioners.<br />
+							It is composed of more than 25,000 annotated non-contrast cranial CT exams which have between 20 to 60 slices per CT scan of size 512×512.  It consists of a set of image IDs and multi labels of presence and absence of hemorrhage and if present, then its type (subarachnoid, intraventricular, subdural, epidural, and intraparenchymal hemorrhage).<br />
+							The dataset was split up into training, validation, and testing sets for an unbiased evaluation of our model fit on the training set.
+						</p>
+					</center>
+					
+				</div>
+				
+			</div>
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