Update traffic_signal_images.py

traffic_signal_images.py

@@ -18,26 +18,19 @@ year={2023}
 }
 """
 
-# TODO: Add description of the dataset here
-# You can copy an official description
 _DESCRIPTION = """\
 This dataset contains traffic images from traffic signal cameras of singapore. The images are captured at 1.5 minute interval from 6 pm to 7 pm everyday for the month of January 2024.
 """
 
-# TODO: Add a link to an official homepage for the dataset here
+
 _HOMEPAGE = "https://beta.data.gov.sg/collections/354/view"
 
-# TODO: Add the licence for the dataset here if you can find it
-_LICENSE = ""
 
-# 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)
 # _URL = "https://raw.githubusercontent.com/Sayali-pingle/HuggingFace--Traffic-Image-Dataset/main/camera_data.csv"
 
-# TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
-class TrafficImages(datasets.GeneratorBasedBuilder):
-    """TODO: Short description of my dataset."""
+
+class TrafficSignalImages(datasets.GeneratorBasedBuilder):
+    """My dataset is in the form of CSV file hosted on my github. It contains traffic images from 1st Jan 2024 to 31st Jan 2024 from 6 to 7 pm everyday. The original code to fetch these images has been commented in the generate_examples function."""
 
     # _URLS = _URLS
     VERSION = datasets.Version("1.1.0")
@@ -59,15 +52,6 @@ class TrafficImages(datasets.GeneratorBasedBuilder):
             citation=_CITATION,
         )
     
-    # def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
-    #   urls_to_download = self._URL
-    #   downloaded_files = dl_manager.download_and_extract(urls_to_download)
-
-    #   return [
-    #       datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
-    #       datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
-    #   ]
-      
     def _split_generators(self, dl_manager: datasets.DownloadManager):
         # The URLs should be the paths to the raw files in the Hugging Face dataset repository
         urls_to_download = {