Update MultiLegalNeg.py

MultiLegalNeg.py

@@ -33,8 +33,8 @@ _ENGLISH = [
     "sherlock", "bioscope", "sfu"
 ]
 
-_ENGLISH_NAMES = [
-    "dev", "test_cardboard_GOLD", "test_circle_GOLD", "training", "abstracts", "full_papers"
+_SHERLOCKS = [
+    "dev", "test_cardboard_GOLD", "test_circle_GOLD", "training"
 ]
 
 _BIOSCOPES = [
@@ -89,49 +89,54 @@ class MultiLegalNeg(datasets.GeneratorBasedBuilder):
             citation=_CITATION
         )
     
-    def _split_generators(self, dl_manager):
-        
-        languages = _LANGUAGES if self.config.language == "all" else [self.config.language]
-
-        split_generators = []
-        for split in [datasets.Split.TRAIN]:
-            filepaths = []
-            for language in languages:
-                if language == "english":
-                    for ds in _ENGLISH:
-                        for name in _ENGLISH_NAMES:
-                            try:
-                                filepaths.append(dl_manager.download((f'data/english/{ds}_{name}.jsonl.xz')))
-                            except:
-                                break
-                try:
-                    filepaths.append(dl_manager.download((f'data/{language}.jsonl.xz')))
-                except:
-                    break
-
-            split_generators.append(
-                datasets.SplitGenerator(name=split, gen_kwargs={'filepaths': filepaths})
-            )
-        
-               
-        return split_generators     
-
-    def _generate_examples(self,filepaths):
-        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)
+      def _split_generators(self, dl_manager):
+        data_files = {
+            "train": [
+                "data/train/it_train.jsonl.xz",
+                "data/train/fr_train.jsonl.xz",
+                "data/train/de_train.jsonl.xz",
+                "data/train/swiss_train.jsonl.xz",
+                "data/train/en_sherlock_train.jsonl.xz",
+                "data/train/en_sfu_train.jsonl.xz",
+                "data/train/en_bioscope_train.jsonl.xz"
+            ],
+            "test": [
+                "data/test/it_test.jsonl.xz",
+                "data/test/fr_test.jsonl.xz",
+                "data/test/de_test.jsonl.xz",
+                "data/test/swiss_test.jsonl.xz",
+                "data/test/en_sherlock_test.jsonl.xz",
+                "data/test/en_sfu_test.jsonl.xz",
+                "data/test/en_bioscope_test.jsonl.xz"
+            ],
+            "validation": [
+                "data/validation/it_validation.jsonl.xz",
+                "data/validation/fr_validation.jsonl.xz",
+                "data/validation/de_validation.jsonl.xz",
+                "data/validation/swiss_validation.jsonl.xz",
+                "data/validation/en_sherlock_validation.jsonl.xz",
+                "data/validation/en_sfu_validation.jsonl.xz",
+                "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},
+        )
 
+    def _generate_examples(self, data):
+        for i, example in enumerate(data):
+            yield i, example