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pretty_name: ConceptNet with High Confidence

Dataset Card for "relbert/conceptnet_high_confidence"

Dataset Description

Dataset Summary

The selected subset of ConceptNet used in this work, which compiled to fine-tune RelBERT model.

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_high_confidence 25 24

Number of Positive/Negative Word-pairs in each Split

relation_type positive (train) negative (train) positive (validation) negative (validation)
AtLocation 383 356 97 80
CapableOf 195 190 73 78
Causes 71 73 26 26
CausesDesire 9 7 11 11
CreatedBy 2 3 0 0
DefinedAs 0 0 2 2
Desires 16 15 12 12
HasA 67 86 17 17
HasFirstSubevent 2 3 0 0
HasLastSubevent 2 3 3 1
HasPrerequisite 168 176 57 54
HasProperty 94 100 39 49
HasSubevent 125 128 40 54
IsA 310 279 98 106
MadeOf 17 15 7 5
MotivatedByGoal 14 15 11 11
NotCapableOf 15 13 0 0
NotDesires 4 4 4 1
PartOf 34 40 7 5
ReceivesAction 18 16 8 6
SymbolOf 0 0 2 3
UsedFor 249 269 81 74
SUM 1795 1791 595 595

Citation Information 

@inproceedings{li-16,
title = {Commonsense Knowledge Base Completion},
author = {Xiang Li and Aynaz Taheri and Lifu Tu and Kevin Gimpel},
booktitle = {Proc. of ACL},
year = {2016}
}
@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"
}