correct comments in script

twitter-sentiment-analysis.py

@@ -50,28 +50,15 @@ _URLS = {
     "test": _URL + "test_62k.txt",
 }
 
-
 _HOMEPAGE = "https://raw.githubusercontent.com/cblancac/SentimentAnalysisBert/main"
 
 
-# TODO: Add link to the official dataset URLs here
-# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
-# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
-#_URLS = {
-#    "first_domain": "https://huggingface.co/great-new-dataset-first_domain.zip",
-#    "second_domain": "https://huggingface.co/great-new-dataset-second_domain.zip",
-#}
-
-
-
 def _define_columns(example):
     text_splited = example["text"].split('\t')
     return {"text": text_splited[1].strip(), "feeling": int(text_splited[0])}
 
 
-# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
 class NewDataset(datasets.GeneratorBasedBuilder):
-    """TODO: Short description of my dataset."""
 
     VERSION = datasets.Version("1.0.0")
 
@@ -83,14 +70,10 @@ class NewDataset(datasets.GeneratorBasedBuilder):
             }
         )
         return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
+            # This is description will appear on the datasets page.
             description=_DESCRIPTION,
             # This defines the different columns of the dataset and their types
-            features=features,  # Here we define them above because they are different between the two configurations
-            # If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and
-            # specify them. They'll be used if as_supervised=True in builder.as_dataset.
-            # supervised_keys=("sentence", "label"),
-            # Homepage of the dataset for documentation
+            features=features,
             homepage=_HOMEPAGE,
             # Citation for the dataset
             citation=_CITATION,
@@ -98,10 +81,8 @@ class NewDataset(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
 
-
         data_dir_files = dl_manager.download_and_extract(_URLS)
         data_dir = '/'.join(data_dir_files["train"].split('/')[:-1])
-        print("AAAAAAAAAAAAA: ", data_dir)
 
         data = load_dataset("text", data_files=data_dir_files)
         data = data.map(_define_columns)
@@ -122,7 +103,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(data_dir, "twitter-sentiment-analysis-test.jsonl")}),
         ]   
 
-    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
+
     def _generate_examples(self, filepath):
         """This function returns the examples in the raw (text) form."""
         logger.info("generating examples from = %s", filepath)