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Dataset Card for "relbert/conceptnet_relation_similarity"

Dataset Summary

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

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

train validation test
28 34 16

Citation Information

  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 = 	""
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Models trained or fine-tuned on relbert/conceptnet_relational_similarity