Adding an adult dataset.

Author: Rogan Carr

test/Microsoft.ML.Functional.Tests/Datasets/Adult.cs

@@ -0,0 +1,72 @@
+// Licensed to the .NET Foundation under one or more agreements.
+// The .NET Foundation licenses this file to you under the MIT license.
+// See the LICENSE file in the project root for more information.
+
+
+using System;
+using Microsoft.Data.DataView;
+using Microsoft.ML.Data;
+
+namespace Microsoft.ML.Functional.Tests.Datasets
+{
+    /// <summary>
+    /// A class for the Iris test dataset.
+    /// </summary>
+    internal sealed class Adult
+    {
+        [LoadColumn(0)]
+        public bool Label { get; set; }
+
+        [LoadColumn(1)]
+        public string WorkClass { get; set; }
+
+        [LoadColumn(2)]
+        public string Education { get; set; }
+
+        [LoadColumn(3)]
+        public string MaritalStatus { get; set; }
+
+        [LoadColumn(4)]
+        public string Occupation { get; set; }
+
+        [LoadColumn(5)]
+        public string Relationship { get; set; }
+
+        [LoadColumn(6)]
+        public string Ethnicity { get; set; }
+
+        [LoadColumn(7)]
+        public string Sex { get; set; }
+
+        [LoadColumn(8)]
+        public string NativeCountryRegion { get; set; }
+
+        [LoadColumn(9)]
+        public float Age { get; set; }
+
+        [LoadColumn(10)]
+        public float FinalWeight { get; set; }
+
+        [LoadColumn(11)]
+        public float EducationNum { get; set; }
+
+        [LoadColumn(12)]
+        public float CapitalGain { get; set; }
+
+        [LoadColumn(13)]
+        public float CapitalLoss { get; set; }
+
+        [LoadColumn(14)]
+        public float HoursPerWeek { get; set; }
+
+        /// <summary>
+        /// The list of columns commonly used as numerical features.
+        /// </summary>
+        public static readonly string[] CategoricalFeatures = new string[] { "WorkClass", "Education", "MaritalStatus", "Occupation", "Relationship", "Ethnicity", "Sex", "NativeCountryRegion" };
+
+        /// <summary>
+        /// The list of columns commonly used as numerical features.
+        /// </summary>
+        public static readonly string[] NumericalFeatures = new string[] { "Age", "FinalWeight", "EducationNum", "CapitalGain", "CapitalLoss", "HoursPerWeek" };
+    }
+}