path to file changed

legalglue.py

@@ -17,6 +17,7 @@
 import csv
 import json
 import textwrap
+import os
 
 import datasets
 
@@ -91,11 +92,11 @@ class LegalGlueConfig(datasets.BuilderConfig):
 
 
 
-class LexGLUE(datasets.GeneratorBasedBuilder):
+class LegalGLUE(datasets.GeneratorBasedBuilder):
     """LegalGLUE: A Benchmark Dataset for Legal Language Understanding"""
 
     BUILDER_CONFIGS = [
-        LexGlueConfig(
+        LegalGlueConfig(
             name="german_ler",
             description=textwrap.dedent(
                 """\
@@ -150,15 +151,16 @@ class LexGLUE(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        archive = dl_manager.download(self.config.data_url)
+        #archive = dl_manager.download(self.config.data_url)
         if self.config_name == "german_ler":
+            archive = dl_manager.download_and_extract(self.config.data_url)
             return datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
                     "filepath": self.config.data_files,
                     "split": "train",
-                    "files": dl_manager.iter_archive(archive),
+                    "archive": archive,
                 },
             )
         else:
@@ -192,23 +194,29 @@ class LexGLUE(datasets.GeneratorBasedBuilder):
                 ),
             ]
 
-    def _generate_examples(self, filepath, split, files):
+    def _generate_examples(self, filepath, split, archive):
         if self.config_name == "german_ler":
+
             texts, labels = [], []
-            for path, file in files:
-                if path in filepath:
-                    raw_text = file.read_text(encoding="utf-8").strip()
-                    raw_sentences = re.split(r'\n\t?\n', raw_text)
-
-                    for sentence in raw_sentences:
-                        tokens = []
-                        tags = []
-                        for line in sentence.split('\n'):
-                            token, tag = line.split()
-                            tokens.append(token)
-                            tags.append(tag)
-                        texts.append(tokens)
-                        labels.append(tags)
+            for file in filepath:
+                path = os.path.join(archive,file)
+                with open (path, encoding="utf-8") as f:
+                    tokens = []
+                    tags = []
+                    for line in f:
+                        if line == "" or line == "\n":
+                            if tokens:
+                                texts.append(tokens)
+                                labels.append(tags)
+                                tokens = []
+                                tags = []
+                            else:
+                                token, tag = line.split()
+                                tokens.append(token)
+                                tags.append(tag.rstrip())
+                    texts.append(tokens)
+                    labels.append(tags)
+
             for i in enumerate(texts):
                 tokens = text[i]
                 ner_tags = labels[i]