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language:
  - en
license:
  - other
multilinguality:
  - monolingual
size_categories:
  - n<1K
pretty_name: relbert/conceptnet

Dataset Card for "relbert/conceptnet"

Dataset Description

Dataset Summary

The selected subset of ConceptNet used in this work. We removed NotCapableOf and NotDesires to keep the positive relation only. We consider the original test set as test set, dev1 as the training set, and dev2 as the validation set.

  • Number of instances
train validation test
number of pairs 592 595 1189
number of unique relation types 18 22 21
  • Number of pairs in each relation type
number of pairs (train) number of pairs (validation) number of pairs (test)
AtLocation 133 97 250
CapableOf 51 73 144
Causes 26 26 45
CausesDesire 4 11 5
Desires 8 12 8
HasA 26 17 41
HasFirstSubevent 1 1 1
HasLastSubevent 2 3 0
HasPrerequisite 59 57 109
HasProperty 24 39 70
HasSubevent 42 40 83
IsA 99 98 211
MadeOf 3 7 14
MotivatedByGoal 6 11 8
NotMadeOf 1 0 0
PartOf 12 7 22
ReceivesAction 7 8 11
UsedFor 88 81 161
CreatedBy 0 1 2
DefinedAs 0 2 1
NotHasProperty 0 1 1
NotIsA 0 1 1
SymbolOf 0 2 0
RelatedTo 0 0 1

Dataset Structure

An example of train looks as follows.

{
  "relation": "IsA",
  "head": "baseball",
  "tail": "sport"
}

Citation Information

@InProceedings{P16-1137,
  author = 	"Li, Xiang
        and Taheri, Aynaz
        and Tu, Lifu
        and Gimpel, Kevin",
  title = 	"Commonsense Knowledge Base Completion",
  booktitle = 	"Proceedings of the 54th Annual Meeting of the Association for      Computational Linguistics (Volume 1: Long Papers)    ",
  year = 	"2016",
  publisher = 	"Association for Computational Linguistics",
  pages = 	"1445--1455",
  location = 	"Berlin, Germany",
  doi = 	"10.18653/v1/P16-1137",
  url = 	"http://aclweb.org/anthology/P16-1137"
}