up

german_common_crawl.py

@@ -34,13 +34,14 @@ _CITATION = """\
 _DESCRIPTION = """\
 German Only Extract from Common Crawl
 
-This Dataset is for pretraining a German Language Model (Unsupervised) or tune a Multilingual Model specifically to German 
+This Dataset is for pretraining a German Language Model (Unsupervised) or tune a Multilingual Model specifically to German
 """
 
 REPO_URL = "https://huggingface.co/datasets/flax-community/german_common_crawl/resolve/main/"
 
 _URL_FIRST = [REPO_URL + file_name for file_name in [
-    "de_head_0000_2015-48.txt.gz",
+#    "de_head_0000_2015-48.txt.gz",
+    "dummy.txt.gz",
 ]]
 
 #TODO convert & upload all those files correctly
@@ -153,12 +154,11 @@ _URL_HEAD = [REPO_URL + file_name for file_name in [
 _URL_MIDDLE = [REPO_URL + file_name for file_name in [
 ]]
 
+
 class GermanCommonCrawl(datasets.GeneratorBasedBuilder):
     """TODO: Short description of my dataset."""
 
     VERSION = datasets.Version("1.1.0")
-
-
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(name="first", version=VERSION, description="Only the first data file"),
         datasets.BuilderConfig(name="head", version=VERSION, description=""), #TODO fill description
@@ -200,16 +200,16 @@ class GermanCommonCrawl(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        """Returns SplitGenerators.""" 
-        if self.config.name == "first": 
-            data_files = dl_manager.download(_URL_FIRST) 
+        """Returns SplitGenerators."""
+        if self.config.name == "first":
+            data_files = dl_manager.download(_URL_FIRST)
         elif self.config.name == "head":
-            data_files = dl_manager.download(_URL_HEAD) 
+            data_files = dl_manager.download(_URL_HEAD)
         elif self.config.name == "middle":
-            data_files = dl_manager.download(_URL_MIDDLE) 
+            data_files = dl_manager.download(_URL_MIDDLE)
         else:
-            data_files = dl_manager.download(_URL_HEAD + _URL_MIDDLE) 
-            
+            data_files = dl_manager.download(_URL_HEAD + _URL_MIDDLE)
+
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -221,9 +221,8 @@ class GermanCommonCrawl(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, data_files):
         """This function returns the examples in the raw (text) form by iterating on all the files."""
-        for filepath in data_files: 
+        for filepath in data_files:
             with gzip.open(filepath, "rt", encoding="utf-8") as f:
-                import ipdb; ipdb.set_trace()
                 for id_, line in enumerate(f):
                     item = literal_eval(line)
                     yield id_, {
@@ -239,4 +238,7 @@ class GermanCommonCrawl(datasets.GeneratorBasedBuilder):
                         "original_nlines": item["original_nlines"],
                         "original_length": item["original_length"],
                         "language": item["language"],
+                        "language_score": item["language_score"],
+                        "perplexity": item["perplexity"],
+                        "bucket": item["bucket"],
                     }