removed todos

tacred.py

@@ -37,8 +37,6 @@ _CITATION = """\
 }
 """
 
-# TODO: Add description of the dataset here
-# You can copy an official description
 _DESCRIPTION = """\
 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.
@@ -53,10 +51,8 @@ the original version released in 2017. For more details on this new version, see
 published at ACL 2020.
 """
 
-# TODO: Add a link to an official homepage for the dataset here
 _HOMEPAGE = "https://nlp.stanford.edu/projects/tacred/"
 
-# TODO: Add the licence for the dataset here if you can find it
 _LICENSE = "LDC"
 
 _URL = "https://catalog.ldc.upenn.edu/LDC2018T24"
@@ -265,5 +261,7 @@ class Tacred(datasets.GeneratorBasedBuilder):
                     "pos_tags": example["stanford_pos"],
                     "ner_tags": example["stanford_ner"],
                     "stanford_deprel": example["stanford_deprel"],
-                    "stanford_head": [head - 1 for head in example["stanford_head"]]  # make offsets 0-based
+                    "stanford_head": [
+                        head - 1 for head in example["stanford_head"]
+                    ],  # make offsets 0-based
                 }