Update MultiLegalNeg.py

MultiLegalNeg.py

@@ -26,19 +26,7 @@ _URL = {
     'data/'
 }
 _LANGUAGES = [
-    "german", "french", "italian", "swiss", "english"
-]
-
-_ENGLISH = [
-    "sherlock", "bioscope", "sfu"
-]
-
-_SHERLOCKS = [
-    "dev", "test_cardboard_GOLD", "test_circle_GOLD", "training"
-]
-
-_BIOSCOPES = [
-    "abstracts", "full_papers"
+    "de", "fr", "it", "swiss", "en"
 ]
 
 
@@ -90,6 +78,8 @@ class MultiLegalNeg(datasets.GeneratorBasedBuilder):
         )
     
     def _split_generators(self, dl_manager):
+        languages = _LANGUAGES if self.config.language == "all" else [self.config.language]
+
         data_files = {
             "train": [
                 "data/train/it_train.jsonl.xz",
@@ -119,24 +109,33 @@ class MultiLegalNeg(datasets.GeneratorBasedBuilder):
                 "data/validation/en_bioscope_validation.jsonl.xz"
             ]
         }
-        
-        train_data = [{"text": line.strip(), "language": lang} for lang, files in data_files.items() for file in files for line in xz.open(file, "rt", encoding="utf-8")]
-        test_data = [{"text": line.strip(), "language": lang} for lang, files in data_files.items() for file in files for line in xz.open(file, "rt", encoding="utf-8")]
-        validation_data = [{"text": line.strip(), "language": lang} for lang, files in data_files.items() for file in files for line in xz.open(file, "rt", encoding="utf-8")]
-        
-        return [
-            self._split_generate("train", data=train_data),
-            self._split_generate("test", data=test_data),
-            self._split_generate("validation", data=validation_data)
-        ]
-
-    def _split_generate(self, split, data):
-        return self.DatasetSplitGenerator(
-            name=split,
-            gen_kwargs={"data": data},
-        )
+
+        split_generators = []
+        for split in data_files.keys():
+            filepaths = []
+            for file_name in data_files[split]:
+                try: 
+                    filepaths.append(dl_manager.download((f'{file_name}')))
+                except:
+                    break 
+            split_generators.append(datasets.SplitGenerator(name=split, gen_kwargs={'filepaths': filepaths}))
+
+        return split_generators
 
     def _generate_examples(self, data):
-        for i, example in enumerate(data):
-            yield i, example  
-        
+        id_ = 0
+        for filepath in filepaths:
+            if filepath:
+                logger.info("Generating examples from = %s", filepath)
+                try:
+                    with xz.open(open(filepath,'rb'), 'rt', encoding='utf-8') as f:
+                        json_list = list(f)
+                    
+                    for json_str in json_list:
+                        example = json.loads(json_str)
+                        if example is not None and isinstance(example, dict):
+                            yield id_, example
+                            id_ +=1
+
+                except Exception:
+                    logger.exception("Error while processing file %s", filepath)