Update tacred.py

tacred.py

@@ -1,6 +1,3 @@
-"""TODO: Add a description here."""
-
-
 import json
 import os
 
@@ -44,15 +41,15 @@ _CITATION = """\
 # 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. 
- Examples in TACRED cover 41 relation types as used in the TAC KBP challenges (e.g., per:schools_attended 
- and org:members) or are labeled as no_relation if no defined relation is held. These examples are created 
+ and web text from the corpus used in the yearly TAC Knowledge Base Population (TAC KBP) challenges.
+ Examples in TACRED cover 41 relation types as used in the TAC KBP challenges (e.g., per:schools_attended
+ and org:members) or are labeled as no_relation if no defined relation is held. These examples are created
  by combining available human annotations from the TAC KBP challenges and crowdsourcing.
- 
+
  Please see our EMNLP paper, or our EMNLP slides for full details.
 
-Note: There is currently a label-corrected version of the TACRED dataset, which you should consider using instead of 
-the original version released in 2017. For more details on this new version, see the TACRED Revisited paper 
+Note: There is currently a label-corrected version of the TACRED dataset, which you should consider using instead of
+the original version released in 2017. For more details on this new version, see the TACRED Revisited paper
 published at ACL 2020.
 """
 
@@ -131,7 +128,7 @@ def convert_ptb_token(token: str) -> str:
 
 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."""
+    and web text from the corpus used in the yearly TAC Knowledge Base Population (TAC KBP) challenges."""
 
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(
@@ -268,5 +265,5 @@ class Tacred(datasets.GeneratorBasedBuilder):
                     "pos_tags": example["stanford_pos"],
                     "ner_tags": example["stanford_ner"],
                     "stanford_deprel": example["stanford_deprel"],
-                    "stanford_head": example["stanford_head"]
+                    "stanford_head": example["stanford_head"] - 1,  # make offsets 0-based
                 }