Data loader produces full test and validation split as well

opusparcus.py

@@ -47,7 +47,8 @@ _LICENSE = ""
 _URLs = {
     "validation": "validation.jsonl",
     "test": "test.jsonl"
-
+    "full-validation": "validation.jsonl",
+    "full-test": "test.jsonl"
     # NB: the "train" split file is defined dynamically inside the `_split_generators` method
 }
 
@@ -169,6 +170,26 @@ class Opusparcus(datasets.GeneratorBasedBuilder):
                     "filepath": data_dir["validation"],
                     "split": "validation",
                 },
+            ),
+            datasets.SplitGenerator(
+                name="full-test",
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "lang": self.config.lang,
+                    "quality": 100,
+                    "filepath": data_dir["test"],
+                    "split": "test"
+                },
+            ),
+            datasets.SplitGenerator(
+                name="full-validation",
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "lang": self.config.lang,
+                    "quality": 100,
+                    "filepath": data_dir["validation"],
+                    "split": "validation",
+                },
             )
         ]            
 
@@ -215,16 +236,18 @@ class Opusparcus(datasets.GeneratorBasedBuilder):
                         "quality": data["quality"],
                     }
         else:
+            keep_all = (split == "full-validation" || split == "full-test")
             with open(filepath, encoding="utf-8") as f:
                 for id_, row in enumerate(f):
                     data = json.loads(row)
                     if data["lang"] == lang:
-                        yield id_, {
-                            "lang": data["lang"],
-                            "sent1": data["sent1"],
-                            "sent2": data["sent2"],
-                            "annot_score": data["annot_score"],
-                            "gem_id": data["gem_id"],
-                            "quality": 100,
-                        }
+                        if keep_all or data["annot_score"] >= 3.0:
+                            yield id_, {
+                                "lang": data["lang"],
+                                "sent1": data["sent1"],
+                                "sent2": data["sent2"],
+                                "annot_score": data["annot_score"],
+                                "gem_id": data["gem_id"],
+                                "quality": 100,
+                            }