metadata

language:
  - en
license:
  - other
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
pretty_name: ConceptNet with High Confidence

Dataset Card for "relbert/conceptnet"

Dataset Description

Repository: RelBERT
Paper: https://home.ttic.edu/~kgimpel/commonsense.html
Dataset: High Confidence Subset of ConceptNet

Dataset Summary

The selected subset of ConceptNet used in this work. We removed NotCapableOf and NotDesires to keep the positive relation only.

Dataset Structure

Data Instances

An example of train looks as follows.

{
    "relation_type": "AtLocation",
    "positives": [["fish", "water"], ["cloud", "sky"], ["child", "school"], ... ],
    "negatives": [["pen", "write"], ["sex", "fun"], ["soccer", "sport"], ["fish", "school"], ... ]
}

Data Splits

name	train	validation
conceptnet	25	24

Number of Positive/Negative Word-pairs in each Split

relation_type	positive (train)	negative (train)	positive (validation)	negative (validation)
AtLocation	383	1749	97	574
CapableOf	195	1771	73	596
Causes	71	1778	26	591
CausesDesire	9	1774	11	591
CreatedBy	2	1777	0	0
DefinedAs	0	0	2	591
Desires	16	1775	12	591
HasA	67	1795	17	591
HasFirstSubevent	2	1777	0	0
HasLastSubevent	2	1777	3	589
HasPrerequisite	168	1784	57	588
HasProperty	94	1782	39	601
HasSubevent	125	1779	40	605
IsA	310	1745	98	599
MadeOf	17	1774	7	589
MotivatedByGoal	14	1777	11	591
PartOf	34	1782	7	589
ReceivesAction	18	1774	8	589
SymbolOf	0	0	2	592
UsedFor	249	1796	81	584
SUM	1776	31966	591	10641

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"
}