Update tacred.py

tacred.py

@@ -1,6 +1,3 @@
-"""TODO: Add a description here."""
-
-
 import json
 import os
 
@@ -43,14 +40,24 @@ _CITATION = """\
 # TODO: Add description of the dataset here
 # You can copy an official description
 _DESCRIPTION = """\
-This new dataset is designed to solve this great NLP task and is crafted with a lot of care.
+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 
+ 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 
+published at ACL 2020.
 """
 
 # TODO: Add a link to an official homepage for the dataset here
-_HOMEPAGE = ""
+_HOMEPAGE = "https://nlp.stanford.edu/projects/tacred/"
 
 # TODO: Add the licence for the dataset here if you can find it
-_LICENSE = ""
+_LICENSE = "LDC"
 
 # TODO: Add link to the official dataset URLs here
 # The HuggingFace dataset library don't host the datasets but only point to the original files
@@ -158,12 +165,20 @@ class TACRED(datasets.GeneratorBasedBuilder):
     def _info(self):
         features = datasets.Features(
             {
+                "id": datasets.Value("string"),
+                "docid": datasets.Value("string"),
                 "tokens": datasets.Sequence(datasets.Value("string")),
-                "head_start": datasets.Value("int32"),
-                "head_end": datasets.Value("int32"),
-                "tail_start": datasets.Value("int32"),
-                "tail_end": datasets.Value("int32"),
-                "label": datasets.ClassLabel(names=_CLASS_LABELS),
+                "subj_start": datasets.Value("int32"),
+                "subj_end": datasets.Value("int32"),
+                "subj_type": datasets.Value("string"),
+                "obj_start": datasets.Value("int32"),
+                "obj_end": datasets.Value("int32"),
+                "obj_type": datasets.Value("string"),
+                "pos_tags": datasets.Sequence(datasets.Value("string")),
+                "ner_tags": datasets.Sequence(datasets.Value("string")),
+                "stanford_deprel": datasets.Sequence(datasets.Value("string")),
+                "stanford_head": datasets.Sequence(datasets.Value("int32")),
+                "relation": datasets.ClassLabel(names=_CLASS_LABELS),
             }
         )
 
@@ -248,10 +263,18 @@ class TACRED(datasets.GeneratorBasedBuilder):
                     example.update(patch_examples[id_])
 
                 yield id_, {
+                    "id": example["id"],
+                    "docid": example["docid"],
                     "tokens": [convert_ptb_token(token) for token in example["token"]],
-                    "head_start": example["subj_start"],
-                    "head_end": example["subj_end"] + 1,  # make end offset exclusive
-                    "tail_start": example["obj_start"],
-                    "tail_end": example["obj_end"] + 1,  # make end offset exclusive
-                    "label": example["relation"],
+                    "subj_start": example["subj_start"],
+                    "subj_end": example["subj_end"] + 1,  # make end offset exclusive
+                    "subj_type": example["subj_type"],
+                    "obj_start": example["obj_start"],
+                    "obj_end": example["obj_end"] + 1,  # make end offset exclusive
+                    "obj_type": example["obj_type"],
+                    "relation": example["relation"],
+                    "pos_tags": example["stanford_pos"],
+                    "ner_tags": example["stanford_ner"],
+                    "stanford_deprel": example["stanford_deprel"],
+                    "stanford_head": example["stanford_head"]
                 }