Upload TexPrax.py

TexPrax.py

@@ -94,6 +94,7 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
     # data = datasets.load_dataset('my_dataset', 'first_domain')
     # data = datasets.load_dataset('my_dataset', 'second_domain')
     BUILDER_CONFIGS = [
+    """
         TexPraxConfig(
             name="sentence_classification",
             description="Sentence level annotations of the TexPrax dataset.",
@@ -110,14 +111,15 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
             citation=_CITATION,
             url=_ENTITY_URL
         ),
-        #datasets.BuilderConfig(name="sentence_classification", version=VERSION, description="Sentence level annotations of the TexPrax dataset."),
-        #datasets.BuilderConfig(name="named_entity_recognition", version=VERSION, description="BIO-tagged named entites of the TexPrax dataset."),
+        """
+       datasets.BuilderConfig(name="sentence_cl", version=VERSION, description="Sentence level annotations of the TexPrax dataset."),
+       datasets.BuilderConfig(name="ner", version=VERSION, description="BIO-tagged named entites of the TexPrax dataset."),
     ]
 
-    DEFAULT_CONFIG_NAME = "sentence_classification"  # It's not mandatory to have a default configuration. Just use one if it make sense.
+    DEFAULT_CONFIG_NAME = "sentence_cl"  # It's not mandatory to have a default configuration. Just use one if it make sense.
 
     def _info(self):
-        if self.config.name == "sentence_classification":  # This is the name of the configuration selected in BUILDER_CONFIGS above
+        if self.config.name == "sentence_cl":  # This is the name of the configuration selected in BUILDER_CONFIGS above
             features = datasets.Features(
                 {
                     # Note: ID consists of <dialog-id_sentence-id_turn-id>
@@ -189,13 +191,12 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
         # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
 
         # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
         # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
-        if self.config.name == "sentence_classification":
+        if self.config.name == "sentence_cl":
             urls = _SENTENCE_URL
             data_dir = dl_manager.download_and_extract(urls)
             return [
@@ -278,7 +279,8 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
         with open(filepath, encoding="utf-8") as f:
             creader = csv.reader(f, delimiter=';', quotechar='"')
             for key, row in enumerate(creader):
-                if self.config.name == "sentence_classification":
+                print(key, row)
+                if self.config.name == "sentence_cl":
                     idx, sentence, label = row
                     # Yields examples as (key, example) tuples
                     yield key, {