diff --git a/src/learning_graph.cpp b/src/learning_graph.cpp
index 3afa768..3893089 100644
--- a/src/learning_graph.cpp
+++ b/src/learning_graph.cpp
@@ -17,9 +17,12 @@ static const char USAGE[] =
     R"(Generate a statistical learning graph from multiple runs
 
     Usage:
-      learning_graph <file> ...
+      learning_graph [options] <file> ...
 
     Options:
+      --testing_only   Only count the figures for testing
+      --learning_only  Only count the figures for learning
+      --accumulate     Accumulates the data
       -h, --help       Show this screen
       --version        Show version
 )";
@@ -73,12 +76,24 @@ void print_quantiles(C const & container, S && selector, ostream & out) {
 	out << selector(sorted_container.back());
 }
 
+auto all(datapoint const & p) {
+	return p.learning_queries + p.learning_inputs + p.testing_queries + p.testing_inputs;
+}
+auto testing(datapoint const & p) {
+	return p.testing_queries + p.testing_inputs;
+}
+auto learning(datapoint const & p) {
+	return p.learning_queries + p.learning_inputs;
+}
+
 int main(int argc, char * argv[]) {
 	const auto args = docopt::docopt(USAGE, {argv + 1, argv + argc}, true, __DATE__ __TIME__);
 
+	const auto field = args.at("--testing_only").asBool() ? &testing : args.at("--learning_only").asBool() ? &learning : &all;
+
 	vector<future<dataset>> dataset_futures;
 	for (auto const & filename : args.at("<file>").asStringList()) {
-		dataset_futures.emplace_back(async([filename] {
+		dataset_futures.emplace_back(async([filename, &args] {
 			fstream file(filename);
 			if (!file) throw runtime_error("Could not open file " + filename);
 
@@ -89,7 +104,8 @@ int main(int argc, char * argv[]) {
 				s.push_back(p);
 			}
 
-			accumulate_dataset(s);
+			if (args.at("--accumulate").asBool())
+				accumulate_dataset(s);
 
 			return s;
 		}));
@@ -143,10 +159,8 @@ int main(int argc, char * argv[]) {
 			// if we're spot on, update current
 			if (it.next->states == state) it.current = it.next;
 
-			const auto v2 = it.next->learning_queries + it.next->learning_inputs
-			                + it.next->testing_queries + it.next->testing_inputs;
-			const auto v1 = it.current->learning_queries + it.current->learning_inputs
-			                + it.current->testing_queries + it.current->testing_inputs;
+			const auto v2 = field(*it.next);
+			const auto v1 = field(*it.current);
 			const auto ratio
 			    = it.next->states == state
 			          ? 1.0