dotnet · eerhardt · May 4, 2018 · May 4, 2018 · May 4, 2018 · May 4, 2018
diff --git a/Microsoft.ML.sln b/Microsoft.ML.sln
@@ -38,8 +38,6 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Tests", "test\
 EndProject
 Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "data", "data", "{FDA2FD2C-A708-43AC-A941-4D941B0853BF}"
 	ProjectSection(SolutionItems) = preProject
-		test\data\kc_house_data.csv = test\data\kc_house_data.csv
-		test\data\kc_house_test.csv = test\data\kc_house_test.csv
 		test\data\sentiment_data.tsv = test\data\sentiment_data.tsv
 		test\data\sentiment_test.tsv = test\data\sentiment_test.tsv
 	EndProjectSection

diff --git a/build.sh b/build.sh
diff --git a/init-tools.sh b/init-tools.sh
diff --git a/run.sh b/run.sh
diff --git a/src/Microsoft.ML.Core/Microsoft.ML.Core.csproj b/src/Microsoft.ML.Core/Microsoft.ML.Core.csproj
@@ -1,14 +1,13 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <TargetFramework>netstandard2.0</TargetFramework>
     <IncludeInPackage>Microsoft.ML</IncludeInPackage>
     <AllowUnsafeBlocks>true</AllowUnsafeBlocks>
     <DefineConstants>CORECLR</DefineConstants>
   </PropertyGroup>
-  
+
   <ItemGroup>
-    <Folder Include="CodeGeneration\" />
     <Folder Include="Properties\" />
   </ItemGroup>
 

diff --git a/src/Native/build.sh b/src/Native/build.sh
diff --git a/test/Microsoft.ML.Core.Tests/UnitTests/TestCSharpApi.cs b/test/Microsoft.ML.Core.Tests/UnitTests/TestCSharpApi.cs
@@ -269,7 +269,7 @@ public void TestCrossValidationBinaryMacro()
             }
         }
 
-        [Fact]
+        [Fact(Skip = "Missing data set. See https://github.com/dotnet/machinelearning/issues/3")]
         public void TestCrossValidationMacro()
         {
             var dataPath = GetDataPath(@"housing.txt");

diff --git a/test/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs b/test/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs
@@ -855,7 +855,7 @@ public void EntryPointEvaluateMultiClass()
                 Assert.Equal(3, CountRows(loader));
         }
 
-        [Fact]
+        [Fact(Skip = "Missing data set. See https://github.com/dotnet/machinelearning/issues/3")]
         public void EntryPointEvaluateRegression()
         {
             var dataPath = GetDataPath("housing.txt");
@@ -887,7 +887,7 @@ public void EntryPointSDCAMultiClass()
             TestEntryPointRoutine("iris.txt", "Trainers.StochasticDualCoordinateAscentClassifier");
         }
 
-        [Fact]
+        [Fact(Skip = "Missing data set. See https://github.com/dotnet/machinelearning/issues/3")]
         public void EntryPointSDCARegression()
         {
             TestEntryPointRoutine("housing.txt", "Trainers.StochasticDualCoordinateAscentRegressor");
@@ -961,7 +961,7 @@ public void EntryPointHogwildSGD()
             TestEntryPointRoutine("breast-cancer.txt", "Trainers.StochasticGradientDescentBinaryClassifier");
         }
 
-        [Fact]
+        [Fact(Skip = "Missing data set. See https://github.com/dotnet/machinelearning/issues/3")]
         public void EntryPointPoissonRegression()
         {
             TestEntryPointRoutine("housing.txt", "Trainers.PoissonRegressor");

diff --git a/test/Microsoft.ML.Predictor.Tests/TestDatasetInference.cs b/test/Microsoft.ML.Predictor.Tests/TestDatasetInference.cs
@@ -90,7 +90,7 @@ public void InferSchemaCommandTest()
         {
             var datasets = new[]
             {
-                GetDataPath(Path.Combine("..", "data", "sentiment_data.tsv"))
+                GetDataPath(Path.Combine("..", "data", "wikipedia-detox-250-line-data.tsv"))
             };
 
             using (var env = new TlcEnvironment())
@@ -124,8 +124,8 @@ public void InferRecipesCommandTest()
             var datasets = new Tuple<string, string>[] 
             {
                 Tuple.Create(
-                    GetDataPath(Path.Combine("..", "data", "sentiment_data.tsv")),
-                    GetDataPath(Path.Combine("..", "data", "sentiment_data_schema.txt")))
+                    GetDataPath(Path.Combine("..", "data", "wikipedia-detox-250-line-data.tsv")),
+                    GetDataPath(Path.Combine("..", "data", "wikipedia-detox-250-line-data-schema.txt")))
             };
 
             using (var env = new TlcEnvironment())

diff --git a/test/Microsoft.ML.Tests/PredictionModelTests.cs b/test/Microsoft.ML.Tests/PredictionModelTests.cs
@@ -41,7 +41,7 @@ public class HousePricePrediction
             public float Price;
         }
 
-        [Fact]
+        [Fact(Skip = "Missing data set. See https://github.com/dotnet/machinelearning/issues/3")]
         public async Task ReadStrongTypeModelFromStream()
         {
             using (var memoryStream = new MemoryStream())

diff --git a/test/Microsoft.ML.Tests/Scenarios/Scenario3_SentimentPrediction.cs b/test/Microsoft.ML.Tests/Scenarios/Scenario3_SentimentPrediction.cs
@@ -15,8 +15,8 @@ namespace Microsoft.ML.Scenarios
 {
     public partial class Top5Scenarios
     {
-        public const string SentimentDataPath = "sentiment_data.tsv";
-        public const string SentimentTestPath = "sentiment_test.tsv";
+        public const string SentimentDataPath = "wikipedia-detox-250-line-data.tsv";
+        public const string SentimentTestPath = "wikipedia-detox-250-line-test.tsv";
 
         [Fact]
         public void TrainAndPredictSentimentModelTest()

diff --git a/test/Microsoft.ML.Tests/Scenarios/Scenario_HousePricePrediction.cs b/test/Microsoft.ML.Tests/Scenarios/Scenario_HousePricePrediction.cs
@@ -16,7 +16,7 @@ A real-estate firm Contoso wants to add a house price prediction to their ASP.NE
          The application will let users submit information about their house, and see a price they could expect if they put the house for sale.
          Because real estate transaction data is public, Contoso has historical data they intend to use to train Machine Learning prediction engine. 
         */
-        [Fact]
+        [Fact(Skip = "Missing data set. See https://github.com/dotnet/machinelearning/issues/3")]
         public async void PredictHousePriceModelTest()
         {
             string modelFilePath = GetOutputPath("PredictHousePriceModelTest.zip");

diff --git a/test/Microsoft.ML.Tests/Scenarios/Scenario_TrainPredictionModel.cs b/test/Microsoft.ML.Tests/Scenarios/Scenario_TrainPredictionModel.cs
@@ -11,7 +11,7 @@ namespace Microsoft.ML.Scenarios
 {
     public partial class Top5Scenarios
     {
-        [Fact]
+        [Fact(Skip = "Missing data set. See https://github.com/dotnet/machinelearning/issues/3")]
         public void TrainAndPredictHousePriceModelTest()
         {
             string dataPath = GetDataPath("kc_house_data.csv");

diff --git a/test/data/MNIST.Train.0-class.tiny.txt b/test/data/MNIST.Train.0-class.tiny.txt
diff --git a/test/data/README.md b/test/data/README.md
@@ -0,0 +1,29 @@
+### Wikipedia Detox
+
+Redistributing the dataset "wikipedia-detox-250-line-data.tsv" with attribution:
+
+> Wulczyn, Ellery; Thain, Nithum; Dixon, Lucas (2016): Wikipedia Detox. figshare. https://doi.org/10.6084/m9.figshare.4054689
+
+With modifications by taking a sample of rows and reducing rough language.
+
+### UCI Adult Dataset 
+
+>Dua, D. and Karra Taniskidou, E. (2017). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
+>
+>https://archive.ics.uci.edu/ml/datasets/Adult
+
+### Breast Cancer Wisconsin
+
+Redistributing the dataset "breast-cancer.txt" with attribution:
+
+> O. L. Mangasarian and W. H. Wolberg: "Cancer diagnosis via linear programming", SIAM News, Volume 23, Number 5, September 1990, pp 1 & 18.
+>
+>  Original source: http://ftp.cs.wisc.edu:80/math-prog/cpo-dataset/machine-learn/cancer/cancer1/datacum
+>
+>  Original readme: http://ftp.cs.wisc.edu/math-prog/cpo-dataset/machine-learn/cancer/cancer1/data.doc
+
+### MNIST
+
+> MNIST data originally from [NIST](https://www.nist.gov) and modified by Chris Burges, Corinna Cortes, and Yann LeCun. http://yann.lecun.com/exdb/mnist/
+>
+> More information: https://en.wikipedia.org/wiki/MNIST_database