loader

iceErrorCorpus.py

@@ -24,7 +24,6 @@ _CITATION = """
         year = {2021} }
     """
  
- # TODO: Add the licence for the dataset here if you can find it
 _LICENSE = "CC BY 4.0"
 
 _URLS = {
@@ -39,33 +38,20 @@ class iceErrorCorpus(datasets.GeneratorBasedBuilder):
 
     VERSION = datasets.Version("1.0.0")
 
-    # 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')
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(
             name="iceErrorCorpus", version=VERSION, description="Icelandic GEC corpus"
         ),
     ]
 
-    DEFAULT_CONFIG_NAME = "iceErrorCorpus"  # It's not mandatory to have a default configuration. Just use one if it make sense.
+    DEFAULT_CONFIG_NAME = "iceErrorCorpus"  
 
     def _info(self):
-        # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
-        if self.config.name == "iceErrorCorpus":  # This is the name of the configuration selected in BUILDER_CONFIGS above
+        if self.config.name == "iceErrorCorpus": 
             features = datasets.Features(
                 {
                     "src": datasets.Value("string"),
                     "tgt": datasets.Value("string"),
-                    # These are the features of your dataset like images, labels ...
                 }
             )
 
@@ -88,12 +74,6 @@ class iceErrorCorpus(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
-        # 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
         data_dir = dl_manager.download_and_extract(_URLS)
         return [
             datasets.SplitGenerator(
@@ -133,7 +113,6 @@ class iceErrorCorpus(datasets.GeneratorBasedBuilder):
             key = 0
             tsv_f = csv.reader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
             for row in tsv_f:
-                print(row)
                 if self.config.name == "iceErrorCorpus":
                     yield key, {
                         "src": row[0],