change feature names

opusparcus.py

@@ -19,6 +19,7 @@
 import csv
 import json
 import os
+import re
 import datasets
 import bz2
 
@@ -70,6 +71,24 @@ _URLs = {
 
 _VERSION = datasets.Version("1.0.0", "")
 
+
+def detokenize(text):
+    """
+    Untokenizing a text undoes the tokenizing operation, restoring
+    punctuation and spaces to the places that people expect them to be.
+    Ideally, `untokenize(tokenize(text))` should be identical to `text`,
+    except for line breaks.
+    """
+    step1 = text.replace("`` ", '"').replace(" ''", '"').replace('. . .',  '...')
+    step2 = step1.replace(" ( ", " (").replace(" ) ", ") ")
+    step3 = re.sub(r' ([.,:;?!%]+)([ \'"`])', r"\1\2", step2)
+    step4 = re.sub(r' ([.,:;?!%]+)$', r"\1", step3)
+    step5 = step4.replace(" '", "'").replace(" n't", "n't").replace(
+         "can not", "cannot").replace(" 've", "'ve")
+    step6 = step5.replace(" ` ", " '")
+    return step6.strip()
+
+
 class OpusparcusConfig(datasets.BuilderConfig):
     """BuilderConfig for Opusparcus."""
 
@@ -109,7 +128,7 @@ LANGS = [ "de", "en", "fi", "fr", "ru", "sv" ]
 # been annotated manually, and each example has an annotation score
 # attached to it.)
 QUALITIES = [ 100, 95, 90, 85, 80, 75, 70, 65, 60 ]
-    
+
 class Opusparcus(datasets.GeneratorBasedBuilder):
 
     """Opusparcus is a paraphrase corpus for six European languages:
@@ -146,12 +165,12 @@ class Opusparcus(datasets.GeneratorBasedBuilder):
     # The above commands can alternatively be expressed as:
     # data = datasets.load_dataset('GEM/opusparcus', 'de.100')
     # data = datasets.load_dataset('GEM/opusparcus', 'fr.75')
-    
+
     BUILDER_CONFIGS = [
         OpusparcusConfig(lang=lang, quality=quality, version=_VERSION) \
         for lang in LANGS for quality in QUALITIES
     ]
-    
+
     # There is no default configuration. User always needs to specify one:
     # DEFAULT_CONFIG_NAME = None
 
@@ -161,10 +180,11 @@ class Opusparcus(datasets.GeneratorBasedBuilder):
         features = datasets.Features(
             {
                 "lang": datasets.Value("string"),
-                "sent1": datasets.Value("string"),
-                "sent2": datasets.Value("string"),
+                "input": datasets.Value("string"),
+                "target": datasets.Value("string"),
                 "annot_score": datasets.Value("float"),
                 "gem_id": datasets.Value("string"),
+                "references": [datasets.Value("string")]
             }
         )
 
@@ -200,7 +220,7 @@ class Opusparcus(datasets.GeneratorBasedBuilder):
             # This is an error: nothing to do here if no language
             # has been defined:
             return []
-        
+
         # Select which file of the training data contains the matching data:
         if self.config.quality < 70:
             # We need to retrieve the largest training set file
@@ -216,7 +236,7 @@ class Opusparcus(datasets.GeneratorBasedBuilder):
         # download any training data, because there is no matching data.
         # The validation and test sets are so small that we do not perform
         # any filtering or optimization at this stage.
-            
+
         # dl_manager is a datasets.download.DownloadManager, which
         # downloads and extracts the URLs
         # (It can accept any type or nested list/dict and will give
@@ -267,12 +287,12 @@ class Opusparcus(datasets.GeneratorBasedBuilder):
                     "split": "validation.full",
                 },
             ),
-        ]            
+        ]
 
         # If the desired quality value is 100, no subset of the
         # training set is good enough, and we only produce validation
         # and test sets, in order to save space and time:
-            
+
         if self.config.quality <= 95:
             # In this case there is matching training data, so we produce
             # a train split.
@@ -306,7 +326,7 @@ class Opusparcus(datasets.GeneratorBasedBuilder):
             # They contain a field "quality" missing from the validation and test sets.
             # We also know that this file only contains the desired language,
             # because for the training sets the languages are in separate
-            # files, and only the desired language has been downloaded. 
+            # files, and only the desired language has been downloaded.
             with bz2.open(filepath, "rt", encoding="utf-8") as f:
                 for id_, row in enumerate(f):
                     data = json.loads(row)
@@ -316,10 +336,11 @@ class Opusparcus(datasets.GeneratorBasedBuilder):
                         break
                     yield id_, {
                         "lang": data["lang"],
-                        "sent1": data["sent1"],
-                        "sent2": data["sent2"],
+                        "input": detokenize(data["sent1"]),
+                        "target": detokenize(data["sent2"]),
                         "annot_score": 0.0,   # means there is no annotation
                         "gem_id": data["gem_id"],
+                        "references": [detokenize(data["sent2"])]
                     }
         else:
             # The validation and test sets are in jsonl files.
@@ -340,9 +361,10 @@ class Opusparcus(datasets.GeneratorBasedBuilder):
                             # "good or mostly good example of paraphrases")
                             yield id_, {
                                 "lang": data["lang"],
-                                "sent1": data["sent1"],
-                                "sent2": data["sent2"],
+                                "input": detokenize(data["sent1"]),
+                                "target": detokenize(data["sent2"]),
                                 "annot_score": data["annot_score"],
                                 "gem_id": data["gem_id"],
+                                "references": [detokenize(data["sent2"])]
                             }