Update tacred.py

tacred.py

@@ -1,3 +1,6 @@
+"""TODO: Add a description here."""
+
+
 import json
 import os
 
@@ -59,7 +62,8 @@ _HOMEPAGE = "https://nlp.stanford.edu/projects/tacred/"
 # TODO: Add the licence for the dataset here if you can find it
 _LICENSE = "LDC"
 
-# TODO: Add link to the official dataset URLs here
+_URL = "https://catalog.ldc.upenn.edu/LDC2018T24"
+
 # The HuggingFace dataset library don't host the datasets but only point to the original files
 # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
 _PATCH_URLs = {
@@ -125,21 +129,10 @@ def convert_ptb_token(token: str) -> str:
     }.get(token.lower(), token)
 
 
-# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
-class TACRED(datasets.GeneratorBasedBuilder):
-    """TODO: Short description of my dataset."""
-
-    # 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
+class Tacred(datasets.GeneratorBasedBuilder):
+    """TACRED is a large-scale relation extraction dataset with 106,264 examples built over newswire
+ and web text from the corpus used in the yearly TAC Knowledge Base Population (TAC KBP) challenges."""
 
-    # 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="original", version=datasets.Version("1.0.0"), description="The original TACRED."
@@ -201,7 +194,6 @@ class TACRED(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