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pretty_name: SemEval2012 task 2 Relational Similarity

Dataset Card for "relbert/semeval2012_relational_similarity_v3"

Dataset Description

Dataset Summary

IMPORTANT: This is the same dataset as relbert/semeval2012_relational_similarity, but with a different dataset construction.

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

positives negatives
('1', 'parent', 'train') 110 680
('1', 'parent', 'validation') 129 760
('10', 'parent', 'train') 60 730
('10', 'parent', 'validation') 66 823
('10a', 'child', 'train') 10 780
('10a', 'child', 'validation') 14 875
('10a', 'child_prototypical', 'train') 39 506
('10a', 'child_prototypical', 'validation') 63 938
('10b', 'child', 'train') 10 780
('10b', 'child', 'validation') 13 876
('10b', 'child_prototypical', 'train') 39 428
('10b', 'child_prototypical', 'validation') 57 707
('10c', 'child', 'train') 10 780
('10c', 'child', 'validation') 11 878
('10c', 'child_prototypical', 'train') 39 545
('10c', 'child_prototypical', 'validation') 45 650
('10d', 'child', 'train') 10 780
('10d', 'child', 'validation') 10 879
('10d', 'child_prototypical', 'train') 39 506
('10d', 'child_prototypical', 'validation') 39 506
('10e', 'child', 'train') 10 780
('10e', 'child', 'validation') 8 881
('10e', 'child_prototypical', 'train') 39 350
('10e', 'child_prototypical', 'validation') 27 218
('10f', 'child', 'train') 10 780
('10f', 'child', 'validation') 10 879
('10f', 'child_prototypical', 'train') 39 506
('10f', 'child_prototypical', 'validation') 39 506
('1a', 'child', 'train') 10 780
('1a', 'child', 'validation') 14 875
('1a', 'child_prototypical', 'train') 39 428
('1a', 'child_prototypical', 'validation') 63 812
('1b', 'child', 'train') 10 780
('1b', 'child', 'validation') 14 875
('1b', 'child_prototypical', 'train') 39 428
('1b', 'child_prototypical', 'validation') 63 812
('1c', 'child', 'train') 10 780
('1c', 'child', 'validation') 11 878
('1c', 'child_prototypical', 'train') 39 545
('1c', 'child_prototypical', 'validation') 45 650
('1d', 'child', 'train') 10 780
('1d', 'child', 'validation') 16 873
('1d', 'child_prototypical', 'train') 39 428
('1d', 'child_prototypical', 'validation') 75 1040
('1e', 'child', 'train') 10 780
('1e', 'child', 'validation') 8 881
('1e', 'child_prototypical', 'train') 39 311
('1e', 'child_prototypical', 'validation') 27 191
('2', 'parent', 'train') 100 690
('2', 'parent', 'validation') 117 772
('2a', 'child', 'train') 10 780
('2a', 'child', 'validation') 15 874
('2a', 'child_prototypical', 'train') 39 506
('2a', 'child_prototypical', 'validation') 69 1061
('2b', 'child', 'train') 10 780
('2b', 'child', 'validation') 11 878
('2b', 'child_prototypical', 'train') 39 389
('2b', 'child_prototypical', 'validation') 45 470
('2c', 'child', 'train') 10 780
('2c', 'child', 'validation') 13 876
('2c', 'child_prototypical', 'train') 39 467
('2c', 'child_prototypical', 'validation') 57 764
('2d', 'child', 'train') 10 780
('2d', 'child', 'validation') 10 879
('2d', 'child_prototypical', 'train') 39 467
('2d', 'child_prototypical', 'validation') 39 467
('2e', 'child', 'train') 10 780
('2e', 'child', 'validation') 11 878
('2e', 'child_prototypical', 'train') 39 506
('2e', 'child_prototypical', 'validation') 45 605
('2f', 'child', 'train') 10 780
('2f', 'child', 'validation') 11 878
('2f', 'child_prototypical', 'train') 39 623
('2f', 'child_prototypical', 'validation') 45 740
('2g', 'child', 'train') 10 780
('2g', 'child', 'validation') 16 873
('2g', 'child_prototypical', 'train') 39 389
('2g', 'child_prototypical', 'validation') 75 965
('2h', 'child', 'train') 10 780
('2h', 'child', 'validation') 11 878
('2h', 'child_prototypical', 'train') 39 506
('2h', 'child_prototypical', 'validation') 45 605
('2i', 'child', 'train') 10 780
('2i', 'child', 'validation') 9 880
('2i', 'child_prototypical', 'train') 39 545
('2i', 'child_prototypical', 'validation') 33 446
('2j', 'child', 'train') 10 780
('2j', 'child', 'validation') 10 879
('2j', 'child_prototypical', 'train') 39 584
('2j', 'child_prototypical', 'validation') 39 584
('3', 'parent', 'train') 80 710
('3', 'parent', 'validation') 80 809
('3a', 'child', 'train') 10 780
('3a', 'child', 'validation') 11 878
('3a', 'child_prototypical', 'train') 39 506
('3a', 'child_prototypical', 'validation') 45 605
('3b', 'child', 'train') 10 780
('3b', 'child', 'validation') 11 878
('3b', 'child_prototypical', 'train') 39 623
('3b', 'child_prototypical', 'validation') 45 740
('3c', 'child', 'train') 10 780
('3c', 'child', 'validation') 12 877
('3c', 'child_prototypical', 'train') 39 467
('3c', 'child_prototypical', 'validation') 51 659
('3d', 'child', 'train') 10 780
('3d', 'child', 'validation') 14 875
('3d', 'child_prototypical', 'train') 39 467
('3d', 'child_prototypical', 'validation') 63 875
('3e', 'child', 'train') 10 780
('3e', 'child', 'validation') 5 884
('3e', 'child_prototypical', 'train') 39 623
('3e', 'child_prototypical', 'validation') 10 140
('3f', 'child', 'train') 10 780
('3f', 'child', 'validation') 11 878
('3f', 'child_prototypical', 'train') 39 662
('3f', 'child_prototypical', 'validation') 45 785
('3g', 'child', 'train') 10 780
('3g', 'child', 'validation') 6 883
('3g', 'child_prototypical', 'train') 39 584
('3g', 'child_prototypical', 'validation') 15 200
('3h', 'child', 'train') 10 780
('3h', 'child', 'validation') 10 879
('3h', 'child_prototypical', 'train') 39 584
('3h', 'child_prototypical', 'validation') 39 584
('4', 'parent', 'train') 80 710
('4', 'parent', 'validation') 82 807
('4a', 'child', 'train') 10 780
('4a', 'child', 'validation') 11 878
('4a', 'child_prototypical', 'train') 39 623
('4a', 'child_prototypical', 'validation') 45 740
('4b', 'child', 'train') 10 780
('4b', 'child', 'validation') 7 882
('4b', 'child_prototypical', 'train') 39 428
('4b', 'child_prototypical', 'validation') 21 203
('4c', 'child', 'train') 10 780
('4c', 'child', 'validation') 12 877
('4c', 'child_prototypical', 'train') 39 545
('4c', 'child_prototypical', 'validation') 51 761
('4d', 'child', 'train') 10 780
('4d', 'child', 'validation') 4 885
('4d', 'child_prototypical', 'train') 39 389
('4d', 'child_prototypical', 'validation') 6 46
('4e', 'child', 'train') 10 780
('4e', 'child', 'validation') 12 877
('4e', 'child_prototypical', 'train') 39 623
('4e', 'child_prototypical', 'validation') 51 863
('4f', 'child', 'train') 10 780
('4f', 'child', 'validation') 9 880
('4f', 'child_prototypical', 'train') 39 623
('4f', 'child_prototypical', 'validation') 33 512
('4g', 'child', 'train') 10 780
('4g', 'child', 'validation') 15 874
('4g', 'child_prototypical', 'train') 39 467
('4g', 'child_prototypical', 'validation') 69 992
('4h', 'child', 'train') 10 780
('4h', 'child', 'validation') 12 877
('4h', 'child_prototypical', 'train') 39 584
('4h', 'child_prototypical', 'validation') 51 812
('5', 'parent', 'train') 90 700
('5', 'parent', 'validation') 105 784
('5a', 'child', 'train') 10 780
('5a', 'child', 'validation') 14 875
('5a', 'child_prototypical', 'train') 39 467
('5a', 'child_prototypical', 'validation') 63 875
('5b', 'child', 'train') 10 780
('5b', 'child', 'validation') 8 881
('5b', 'child_prototypical', 'train') 39 584
('5b', 'child_prototypical', 'validation') 27 380
('5c', 'child', 'train') 10 780
('5c', 'child', 'validation') 11 878
('5c', 'child_prototypical', 'train') 39 506
('5c', 'child_prototypical', 'validation') 45 605
('5d', 'child', 'train') 10 780
('5d', 'child', 'validation') 15 874
('5d', 'child_prototypical', 'train') 39 428
('5d', 'child_prototypical', 'validation') 69 923
('5e', 'child', 'train') 10 780
('5e', 'child', 'validation') 8 881
('5e', 'child_prototypical', 'train') 39 584
('5e', 'child_prototypical', 'validation') 27 380
('5f', 'child', 'train') 10 780
('5f', 'child', 'validation') 11 878
('5f', 'child_prototypical', 'train') 39 584
('5f', 'child_prototypical', 'validation') 45 695
('5g', 'child', 'train') 10 780
('5g', 'child', 'validation') 9 880
('5g', 'child_prototypical', 'train') 39 623
('5g', 'child_prototypical', 'validation') 33 512
('5h', 'child', 'train') 10 780
('5h', 'child', 'validation') 15 874
('5h', 'child_prototypical', 'train') 39 545
('5h', 'child_prototypical', 'validation') 69 1130
('5i', 'child', 'train') 10 780
('5i', 'child', 'validation') 14 875
('5i', 'child_prototypical', 'train') 39 545
('5i', 'child_prototypical', 'validation') 63 1001
('6', 'parent', 'train') 80 710
('6', 'parent', 'validation') 99 790
('6a', 'child', 'train') 10 780
('6a', 'child', 'validation') 15 874
('6a', 'child_prototypical', 'train') 39 467
('6a', 'child_prototypical', 'validation') 69 992
('6b', 'child', 'train') 10 780
('6b', 'child', 'validation') 11 878
('6b', 'child_prototypical', 'train') 39 584
('6b', 'child_prototypical', 'validation') 45 695
('6c', 'child', 'train') 10 780
('6c', 'child', 'validation') 13 876
('6c', 'child_prototypical', 'train') 39 584
('6c', 'child_prototypical', 'validation') 57 935
('6d', 'child', 'train') 10 780
('6d', 'child', 'validation') 10 879
('6d', 'child_prototypical', 'train') 39 701
('6d', 'child_prototypical', 'validation') 39 701
('6e', 'child', 'train') 10 780
('6e', 'child', 'validation') 11 878
('6e', 'child_prototypical', 'train') 39 584
('6e', 'child_prototypical', 'validation') 45 695
('6f', 'child', 'train') 10 780
('6f', 'child', 'validation') 12 877
('6f', 'child_prototypical', 'train') 39 506
('6f', 'child_prototypical', 'validation') 51 710
('6g', 'child', 'train') 10 780
('6g', 'child', 'validation') 12 877
('6g', 'child_prototypical', 'train') 39 467
('6g', 'child_prototypical', 'validation') 51 659
('6h', 'child', 'train') 10 780
('6h', 'child', 'validation') 15 874
('6h', 'child_prototypical', 'train') 39 506
('6h', 'child_prototypical', 'validation') 69 1061
('7', 'parent', 'train') 80 710
('7', 'parent', 'validation') 91 798
('7a', 'child', 'train') 10 780
('7a', 'child', 'validation') 14 875
('7a', 'child_prototypical', 'train') 39 545
('7a', 'child_prototypical', 'validation') 63 1001
('7b', 'child', 'train') 10 780
('7b', 'child', 'validation') 7 882
('7b', 'child_prototypical', 'train') 39 389
('7b', 'child_prototypical', 'validation') 21 182
('7c', 'child', 'train') 10 780
('7c', 'child', 'validation') 11 878
('7c', 'child_prototypical', 'train') 39 428
('7c', 'child_prototypical', 'validation') 45 515
('7d', 'child', 'train') 10 780
('7d', 'child', 'validation') 14 875
('7d', 'child_prototypical', 'train') 39 545
('7d', 'child_prototypical', 'validation') 63 1001
('7e', 'child', 'train') 10 780
('7e', 'child', 'validation') 10 879
('7e', 'child_prototypical', 'train') 39 428
('7e', 'child_prototypical', 'validation') 39 428
('7f', 'child', 'train') 10 780
('7f', 'child', 'validation') 12 877
('7f', 'child_prototypical', 'train') 39 389
('7f', 'child_prototypical', 'validation') 51 557
('7g', 'child', 'train') 10 780
('7g', 'child', 'validation') 9 880
('7g', 'child_prototypical', 'train') 39 311
('7g', 'child_prototypical', 'validation') 33 248
('7h', 'child', 'train') 10 780
('7h', 'child', 'validation') 14 875
('7h', 'child_prototypical', 'train') 39 350
('7h', 'child_prototypical', 'validation') 63 686
('8', 'parent', 'train') 80 710
('8', 'parent', 'validation') 90 799
('8a', 'child', 'train') 10 780
('8a', 'child', 'validation') 14 875
('8a', 'child_prototypical', 'train') 39 428
('8a', 'child_prototypical', 'validation') 63 812
('8b', 'child', 'train') 10 780
('8b', 'child', 'validation') 7 882
('8b', 'child_prototypical', 'train') 39 584
('8b', 'child_prototypical', 'validation') 21 287
('8c', 'child', 'train') 10 780
('8c', 'child', 'validation') 12 877
('8c', 'child_prototypical', 'train') 39 389
('8c', 'child_prototypical', 'validation') 51 557
('8d', 'child', 'train') 10 780
('8d', 'child', 'validation') 13 876
('8d', 'child_prototypical', 'train') 39 389
('8d', 'child_prototypical', 'validation') 57 650
('8e', 'child', 'train') 10 780
('8e', 'child', 'validation') 11 878
('8e', 'child_prototypical', 'train') 39 389
('8e', 'child_prototypical', 'validation') 45 470
('8f', 'child', 'train') 10 780
('8f', 'child', 'validation') 12 877
('8f', 'child_prototypical', 'train') 39 428
('8f', 'child_prototypical', 'validation') 51 608
('8g', 'child', 'train') 10 780
('8g', 'child', 'validation') 7 882
('8g', 'child_prototypical', 'train') 39 272
('8g', 'child_prototypical', 'validation') 21 119
('8h', 'child', 'train') 10 780
('8h', 'child', 'validation') 14 875
('8h', 'child_prototypical', 'train') 39 467
('8h', 'child_prototypical', 'validation') 63 875
('9', 'parent', 'train') 90 700
('9', 'parent', 'validation') 96 793
('9a', 'child', 'train') 10 780
('9a', 'child', 'validation') 14 875
('9a', 'child_prototypical', 'train') 39 350
('9a', 'child_prototypical', 'validation') 63 686
('9b', 'child', 'train') 10 780
('9b', 'child', 'validation') 12 877
('9b', 'child_prototypical', 'train') 39 506
('9b', 'child_prototypical', 'validation') 51 710
('9c', 'child', 'train') 10 780
('9c', 'child', 'validation') 7 882
('9c', 'child_prototypical', 'train') 39 155
('9c', 'child_prototypical', 'validation') 21 56
('9d', 'child', 'train') 10 780
('9d', 'child', 'validation') 9 880
('9d', 'child_prototypical', 'train') 39 662
('9d', 'child_prototypical', 'validation') 33 545
('9e', 'child', 'train') 10 780
('9e', 'child', 'validation') 8 881
('9e', 'child_prototypical', 'train') 39 701
('9e', 'child_prototypical', 'validation') 27 461
('9f', 'child', 'train') 10 780
('9f', 'child', 'validation') 10 879
('9f', 'child_prototypical', 'train') 39 506
('9f', 'child_prototypical', 'validation') 39 506
('9g', 'child', 'train') 10 780
('9g', 'child', 'validation') 14 875
('9g', 'child_prototypical', 'train') 39 389
('9g', 'child_prototypical', 'validation') 63 749
('9h', 'child', 'train') 10 780
('9h', 'child', 'validation') 13 876
('9h', 'child_prototypical', 'train') 39 506
('9h', 'child_prototypical', 'validation') 57 821
('9i', 'child', 'train') 10 780
('9i', 'child', 'validation') 9 880
('9i', 'child_prototypical', 'train') 39 506
('9i', 'child_prototypical', 'validation') 33 413

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",
}