Upload TexPrax.py

TexPrax.py

@@ -51,67 +51,14 @@ class TexPraxConfig(datasets.BuilderConfig):
     """BuilderConfig for SuperGLUE."""
 
     def __init__(self, features, data_url, citation, url, label_classes=("False", "True"), **kwargs):
-        """BuilderConfig for TexPrax.
-
-        Args:
-        features: *list[string]*, list of the features that will appear in the
-            feature dict. Should not include "label".
-        data_url: *string*, url to download the zip file from.
-        citation: *string*, citation for the data set.
-        url: *string*, url for information about the data set.
-        label_classes: *list[string]*, the list of classes for the label if the
-            label is present as a string. Non-string labels will be cast to either
-            'False' or 'True'.
-        **kwargs: keyword arguments forwarded to super.
-        """
-        # Version history:
-        # 1.0.2: Fixed non-nondeterminism in ReCoRD.
-        # 1.0.1: Change from the pre-release trial version of SuperGLUE (v1.9) to
-        #        the full release (v2.0).
-        # 1.0.0: S3 (new shuffling, sharding and slicing mechanism).
-        # 0.0.2: Initial version.
         super(TexPraxConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
-        self.features = features
-        self.label_classes = label_classes
-        self.data_url = data_url
-        self.citation = _CITATION
-        self.url = url
-
-class TexPraxDataset(datasets.GeneratorBasedBuilder):
-    """German dialgues that ocurred between workers in a factory. This dataset contains token level entity annotation as well as sentence level problem, cause, solution annotations."""
-
-    VERSION = datasets.Version("1.1.0")
 
-    # This is an example of a dataset with multiple configurations.
-    # If you don't want/need to define several sub-sets in your dataset,
-    # just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
 
-    # If you need to make complex sub-parts in the datasets with configurable options
-    # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
-    # BUILDER_CONFIG_CLASS = MyBuilderConfig
-
-    # You will be able to load one or the other configurations in the following list with
-    # data = datasets.load_dataset('my_dataset', 'first_domain')
-    # data = datasets.load_dataset('my_dataset', 'second_domain')
+class TexPraxDataset(datasets.GeneratorBasedBuilder):
+    """German dialgues that ocurred between workers in a factory. 
+    This dataset contains token level entity annotation as well as sentence 
+    level problem, cause, solution annotations."""
     BUILDER_CONFIGS = [
-    """
-        TexPraxConfig(
-            name="sentence_classification",
-            description="Sentence level annotations of the TexPrax dataset.",
-            features=["sentence"],
-            data_url=_SENTENCE_URL,
-            citation=_CITATION,
-            url=_ENTITY_URL
-        ),
-        TexPraxConfig(
-            name="named_entity_recognition",
-            description="Token level annotations of the TexPrax dataset.",
-            features=["tokens"],
-            data_url=_ENTITY_URL,
-            citation=_CITATION,
-            url=_ENTITY_URL
-        ),
-        """
        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."),
     ]