added target and references

turku_paraphrase_corpus.py

@@ -89,7 +89,8 @@ class TurkuParaphraseCorpus(datasets.GeneratorBasedBuilder):
                     "goeswith": datasets.Value("string"),
                     "fold": datasets.Value("int32"),
                     "input": datasets.Value("string"),
-                    "output": datasets.Value("string"),
+                    "target": datasets.Value("string"),
+                    "references": [datasets.Value("string")],
                     "label": datasets.Value("string"),
                     "binary_label": datasets.Value("string"),
                     "is_rewrite": datasets.Value("bool"),
@@ -103,6 +104,8 @@ class TurkuParaphraseCorpus(datasets.GeneratorBasedBuilder):
                     "fold": datasets.Value("int32"),
                     "text1": datasets.Value("string"),
                     "text2": datasets.Value("string"),
+                    "target": datasets.Value("string"),
+                    "references": [datasets.Value("string")],
                     "label": datasets.Value("string"),
                     "binary_label": datasets.Value("string"),
                     "is_rewrite": datasets.Value("bool"),
@@ -173,7 +176,7 @@ class TurkuParaphraseCorpus(datasets.GeneratorBasedBuilder):
         "goeswith": orig_example["goeswith"] if orig_example["goeswith"]!=None else "not available",
         "fold": orig_example["fold"],
         "input": orig_example["txt1"],
-        "output": orig_example["txt2"],
+        "target": orig_example["txt2"],
         "label": orig_example["label"],
         "binary_label": "positive" if orig_example["label"] != "2" else "negative",
         "is_rewrite": False}
@@ -183,15 +186,20 @@ class TurkuParaphraseCorpus(datasets.GeneratorBasedBuilder):
             if ">" in label:
                 processed.append(d)
             elif "<" in label:
-                processed.append(self._flip_example(d, "input", "output"))
+                processed.append(self._flip_example(d, "input", "target"))
             else:
                 processed.append(d)
-                processed.append(self._flip_example(d, "input", "output"))
+                processed.append(self._flip_example(d, "input", "target"))
        
         for rew in orig_example["rewrites"]:
-            r = self._generate_rew(d, rew, "input", "output")
+            r = self._generate_rew(d, rew, "input", "target")
             processed.append(r)
-            processed.append(self._flip_example(r, "input", "output"))
+            processed.append(self._flip_example(r, "input", "target"))
+            
+            
+        # add references (copy target to references field)
+        for i in range(len(processed)):
+            processed[i]["references"] = [processed[i]["target"]]
         return processed
             
     def _prepare_plain_and_classification(self, orig_example):
@@ -214,6 +222,12 @@ class TurkuParaphraseCorpus(datasets.GeneratorBasedBuilder):
             processed.append(r)
             if self.config.name == "classification":
                 processed.append(self._flip_example(d, "text1", "text2"))
+                
+        # add empty references, and add target (copy label to target)
+        for i in range(len(processed)):
+            processed[i]["references"] = []
+            processed[i]["target"] = processed[i]["label"]
+            
         return processed
         
     def _generate_rew(self, orig, rew, field1, field2):
@@ -238,5 +252,6 @@ class TurkuParaphraseCorpus(datasets.GeneratorBasedBuilder):
             flipped["label"] = example["label"].replace(">", "<")
         flipped[field1] = example[field2]
         flipped[field2] = example[field1]
+            
         return flipped