CS_Probing

The Official data repository for COLING 2022 paper "Are Visual-Linguistic Models Commonsense Knowledge Bases?".

We release the two datasets used in the commonsense knowledge probing experiemnts:

(1) CWWV_IMG (2) CWWV_CLIP.

Datasets Construction Pipeline of CWWV_IMG

1. CWWV_IMG (Download):

   is automatically generated by following the procedures proposed by Ma et al. (2019).

   Additionaly, we rely on an effcient image retrieval process to compensate the missing image sources (please refer to our paper for details).

   Dimensions	Counts
   part-whole	1,165
   taxonomic	1,323
   distinctness	828
   similarity	644
   quality	1,840
   utility	2,090
   creation	100
   temporal	1,889
   spatial	1,599
   desire	1,781
   total	13,259

2. CWWV_CLIP (Download):

   is a subset of CWWV_IMG that contains higher quality of image-word pair according to CLIPScore.

   Dimensions	Counts
   part-whole	170
   taxonomic	85
   distinctness	86
   similarity	188
   quality	143
   utility	120
   creation	8
   temporal	154
   spatial	144
   desire	91
   total	1,189

Citation

If you find this dataset useful for your research, please cite:

@inproceedings{
  yang-2022,
  title={Are Visual-Linguistic Models Commonsense Knowledge Bases?},
  author={Hsiu-Yu Yang and 
          Carina Silberer},
  booktitle={Proceedings of the 29th International Conference on Computational
             Linguistics, {COLING} 2022, Gyeongju, Republic of Korea, October 12-17,
             2022},
  year={2022}
}