Hugging Face's logo

Datasets:
research-backup
/
semeval2012_relational_similarity_v2

Modalities:
Text
Languages:
English
Size:
< 1K
Libraries:
Datasets
License:
Dataset card Viewer Files Community
1
semeval2012_relational_similarity_v2 / README.md
asahi417's picture
asahi417
init
afcb4ea
preview code
|
raw
history blame
No virus
13.1 kB
metadata
language:
  - en
license:
  - other
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
pretty_name: SemEval2012 task 2 Relational Similarity

Dataset Card for "relbert/semeval2012_relational_similarity"

Dataset Description

Dataset Summary

Relational similarity dataset from SemEval2012 task 2, compiled to fine-tune RelBERT model. The dataset contains a list of positive and negative word pair from 89 pre-defined relations. The relation types are constructed on top of following 10 parent relation types. 

{
    1: "Class Inclusion",  # Hypernym
    2: "Part-Whole",  # Meronym, Substance Meronym
    3: "Similar",  # Synonym, Co-hypornym
    4: "Contrast",  # Antonym
    5: "Attribute",  # Attribute, Event
    6: "Non Attribute",
    7: "Case Relation",
    8: "Cause-Purpose",
    9: "Space-Time",
    10: "Representation"
}

Each of the parent relation is further grouped into child relation types where the definition can be found here.

Dataset Structure

Data Instances

An example of train looks as follows.

{
  'relation_type': '8d',
  'positives': [ [ "breathe", "live" ], [ "study", "learn" ], [ "speak", "communicate" ], ... ]
  'negatives': [ [ "starving", "hungry" ], [ "clean", "bathe" ], [ "hungry", "starving" ], ... ] 
}

Data Splits

name train validation
semeval2012_relational_similarity 89 89

Number of Positive/Negative Word-pairs in each Split

relation_type positive (train) negative (train) positive (validation) negative (validation)
1 50 740 63 826
10 60 730 66 823
10a 10 799 14 894
10b 10 797 13 893
10c 10 800 11 898
10d 10 799 10 898
10e 10 795 8 896
10f 10 799 10 898
1a 10 797 14 892
1b 10 797 14 892
1c 10 800 11 898
1d 10 797 16 890
1e 10 794 8 895
2 100 690 117 772
2a 10 799 15 893
2b 10 796 11 894
2c 10 798 13 894
2d 10 798 10 897
2e 10 799 11 897
2f 10 802 11 900
2g 10 796 16 889
2h 10 799 11 897
2i 10 800 9 900
2j 10 801 10 900
3 80 710 80 809
3a 10 799 11 897
3b 10 802 11 900
3c 10 798 12 895
3d 10 798 14 893
3e 10 802 5 906
3f 10 803 11 901
3g 10 801 6 904
3h 10 801 10 900
4 80 710 82 807
4a 10 802 11 900
4b 10 797 7 899
4c 10 800 12 897
4d 10 796 4 901
4e 10 802 12 899
4f 10 802 9 902
4g 10 798 15 892
4h 10 801 12 898
5 90 700 105 784
5a 10 798 14 893
5b 10 801 8 902
5c 10 799 11 897
5d 10 797 15 891
5e 10 801 8 902
5f 10 801 11 899
5g 10 802 9 902
5h 10 800 15 894
5i 10 800 14 895
6 80 710 99 790
6a 10 798 15 892
6b 10 801 11 899
6c 10 801 13 897
6d 10 804 10 903
6e 10 801 11 899
6f 10 799 12 896
6g 10 798 12 895
6h 10 799 15 893
7 80 710 91 798
7a 10 800 14 895
7b 10 796 7 898
7c 10 797 11 895
7d 10 800 14 895
7e 10 797 10 896
7f 10 796 12 893
7g 10 794 9 894
7h 10 795 14 890
8 80 710 90 799
8a 10 797 14 892
8b 10 801 7 903
8c 10 796 12 893
8d 10 796 13 892
8e 10 796 11 894
8f 10 797 12 894
8g 10 793 7 895
8h 10 798 14 893
9 90 700 96 793
9a 10 795 14 890
9b 10 799 12 896
9c 10 790 7 892
9d 10 803 9 903
9e 10 804 8 905
9f 10 799 10 898
9g 10 796 14 891
9h 10 799 13 895
9i 10 799 9 899
SUM 1580 70207 1778 78820

Citation Information 

@inproceedings{jurgens-etal-2012-semeval,
    title = "{S}em{E}val-2012 Task 2: Measuring Degrees of Relational Similarity",
    author = "Jurgens, David  and
      Mohammad, Saif  and
      Turney, Peter  and
      Holyoak, Keith",
    booktitle = "*{SEM} 2012: The First Joint Conference on Lexical and Computational Semantics {--} Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation ({S}em{E}val 2012)",
    month = "7-8 " # jun,
    year = "2012",
    address = "Montr{\'e}al, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/S12-1047",
    pages = "356--364",
}