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package datasets;
import java.io.File;
import java.nio.charset.Charset;
import java.nio.file.Files;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashSet;
import java.util.List;
import java.util.Random;
import java.util.Set;
import datastructs.DataSequence;
import datastructs.DataSet;
import datastructs.DataStep;
import loss.LossArgMax;
import loss.LossSoftmax;
import model.LinearUnit;
import model.Model;
import model.Nonlinearity;
/*
* Based on https://research.facebook.com/researchers/1543934539189348
*/
public class bAbI extends DataSet{
public static void main(String[] args) throws Exception {
System.out.println("testing...");
Random rng = new Random();
bAbI data = new bAbI(3, 100, true, rng);
System.out.println("done.");
}
public bAbI(int setId, int totalExamples, boolean onlySupportingFacts, Random rng) throws Exception {
final File folder = new File("datasets/bAbI/en/");
List<String> fileNamesTrain = new ArrayList<>();
List<String> fileNamesTest = new ArrayList<>();
for (final File fileEntry : folder.listFiles()) {
String path = fileEntry.getPath();
if (path.contains("train")) {
if (path.contains("qa"+setId+"_")) {
fileNamesTrain.add(path);
}
}
else if (path.contains("test")) {
if (path.contains("qa"+setId+"_")) {
fileNamesTest.add(path);
}
}
else {
throw new Exception("Unknown file type");
}
}
List<Story> storiesTrain = getStories(fileNamesTrain, onlySupportingFacts);
List<Story> storiesTest = getStories(fileNamesTest, onlySupportingFacts);
while (storiesTrain.size() > totalExamples) {
storiesTrain.remove(rng.nextInt(storiesTrain.size()));
}
while (storiesTest.size() > totalExamples) {
storiesTest.remove(rng.nextInt(storiesTest.size()));
}
configureVocab(storiesTrain, storiesTest);
training = getSequences(storiesTrain);
testing = getSequences(storiesTest);
validation = null;
lossTraining = new LossSoftmax();
lossReporting = new LossArgMax();
inputDimension = training.get(0).steps.get(0).input.w.length;
int loc = 0;
while (training.get(0).steps.get(loc).targetOutput == null) {
loc++;
}
outputDimension = training.get(0).steps.get(loc).targetOutput.w.length;
}
public static final String[] TASK_NAMES = {
"Single Supporting Fact",
"Two Supporting Facts",
"Three Supporting Facts",
"Two Arg. Relations",
"Three Arg. Relations",
"Yes/No Questions",
"Counting",
"Lists/Sets",
"Simple Negation",
"Indefinite Knowledge",
"Basic Coreference",
"Conjunction",
"Compound Coreference",
"Time Reasoning",
"Basic Deduction",
"Basic Induction",
"Positional Reasoning",
"Size Reasoning",
"Path Finding",
"Agent's Motivations"
};
class Statement {
public Statement(String line) {
String[] parts = line.split("\t");
if (parts.length > 1) {
String[] words = parts[0].replace("?", " ?").split(" ");
lineNum = Integer.parseInt(words[0]);
for (int i = 1; i < words.length; i++) {
question.add(words[i].toLowerCase());
}
answer = parts[1].toLowerCase();
String[] facts = parts[2].split(" ");
for (int i = 0; i < facts.length; i++) {
supportingFacts.add(Integer.parseInt(facts[i]));
}
isFact = false;
}
else {
String[] words = line.replace("."," .").split(" ");
lineNum = Integer.parseInt(words[0]);
for (int i = 1; i < words.length; i++) {
fact.add(words[i].toLowerCase());
}
isFact = true;
}
}
@Override
public String toString() {
String result = lineNum + "";
if (isFact) {
for (String word : fact) {
result += " " + word;
}
}
else {
for (String word : question) {
result += " " + word;
}
result += " -> " + answer;
for (Integer i : supportingFacts) {
result += " " + i;
}
}
return result;
}
boolean isFact = true;
List<String> fact = new ArrayList<>();
List<String> question = new ArrayList<>();
String answer;
List<Integer> supportingFacts = new ArrayList<>();
int lineNum;
}
class Story {
public Story(List<Statement> statements, boolean onlySupportingFacts) {
if (onlySupportingFacts == true) {
Set<Integer> supportingFactsAndQuestions = new HashSet<>();
for (Statement statement : statements) {
if (statement.isFact == false) {
supportingFactsAndQuestions.add(statement.lineNum);
supportingFactsAndQuestions.addAll(statement.supportingFacts);
}
}
List<Statement> trimmed = new ArrayList<>();
for (Statement statement : statements) {
if (supportingFactsAndQuestions.contains(statement.lineNum)) {
trimmed.add(statement);
}
}
this.statements = trimmed;
}
else {
this.statements = statements;
}
}
List<Statement> statements;
@Override
public String toString() {
String result = "";
for (Statement statement : statements) {
result += statement.toString() + "\n";
}
return result;
}
}
List<Story> getStories(List<String> fileNames, boolean onlySupportingFacts) throws Exception {
List<Statement> statements = new ArrayList<>();
for (String fileName : fileNames) {
File file = new File(fileName);
List<String> lines = Files.readAllLines(file.toPath(), Charset.defaultCharset());
for (String line : lines) {
statements.add(new Statement(line));
}
}
List<Story> stories = new ArrayList<>();
int prevNum = 0;
List<Statement> storyList = new ArrayList<>();
boolean containsQuestion = false;
int errors = 0;
for (Statement statement : statements) {
if (statement.lineNum < prevNum) {
if (containsQuestion == false) {
//System.out.println("Incomplete story");
//for (Statement st : storyList) {
// System.out.println(st);
//}
errors++;
}
else {
Story story = new Story(storyList, onlySupportingFacts);
//System.out.println(story);
stories.add(story);
}
containsQuestion = false;
storyList = new ArrayList<>();
}
if (statement.isFact == false) {
containsQuestion = true;
}
storyList.add(statement);
prevNum = statement.lineNum;
}
Story story = new Story(storyList, onlySupportingFacts);
//System.out.println(story);
stories.add(story);
if (errors > 0) {
System.out.println("WARNING: " + errors + " INCORRECT STORIES REMOVED.");
}
return stories;
}
List<String> inputVocab = new ArrayList<>();
List<String> outputVocab = new ArrayList<>();
private void configureVocab(List<Story> storiesTrain, List<Story> storiesTest) {
Set<String> inputVocabSet = new HashSet<>();
Set<String> outputVocabSet = new HashSet<>();
List<Story> allStories = new ArrayList<>();
allStories.addAll(storiesTrain);
allStories.addAll(storiesTest);
for (Story story : allStories) {
for (Statement statement : story.statements) {
if (statement.isFact) {
for (String word : statement.fact) {
inputVocabSet.add(word);
}
}
else {
for (String word : statement.question) {
inputVocabSet.add(word);
}
outputVocabSet.add(statement.answer);
}
}
}
for (String word : inputVocabSet) {
inputVocab.add(word);
}
for (String word : outputVocabSet) {
outputVocab.add(word);
}
Collections.sort(inputVocab);
Collections.sort(outputVocab);
System.out.println("Possible answers: ");
for (int i = 0; i < outputVocab.size(); i++) {
System.out.println("\t["+i+"]: " + outputVocab.get(i));
}
}
private List<DataSequence> getSequences(List<Story> stories) {
int inputDimension = inputVocab.size();
int outputDimension = outputVocab.size();
List<DataSequence> sequences = new ArrayList<>();;
for (Story story : stories) {
List<DataStep> steps = new ArrayList<>();
for (Statement statement : story.statements) {
if (statement.isFact) {
for (int w = 0; w < statement.fact.size(); w++) {
double[] input = new double[inputDimension];
for (int i = 0; i < inputDimension; i++) {
if (statement.fact.get(w).equals(inputVocab.get(i))) {
input[i] = 1.0;
break;
}
}
steps.add(new DataStep(input, null));
}
}
else {
for (int w = 0; w < statement.question.size(); w++) {
double[] input = new double[inputDimension];
double[] targetOutput = null;
for (int i = 0; i < inputDimension; i++) {
if (statement.question.get(w).equals(inputVocab.get(i))) {
input[i] = 1.0;
break;
}
}
steps.add(new DataStep(input, targetOutput));
}
double[] input = new double[inputDimension];
double[] targetOutput = new double[outputDimension];
for (int i = 0; i < outputDimension; i++) {
if (statement.answer.equals(outputVocab.get(i))) {
targetOutput[i] = 1.0;
break;
}
}
steps.add(new DataStep(input, targetOutput));
}
}
sequences.add(new DataSequence(steps));
}
return sequences;
}
@Override
public void DisplayReport(Model model, Random rng) throws Exception {
}
@Override
public Nonlinearity getModelOutputUnitToUse() {
return new LinearUnit();
}
}
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