Dataset Card for "relbert/semeval2012_relational_similarity_v5"

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
('10', 'parent', 'train')	60	730
('10a', 'child', 'train')	10	1655
('10a', 'child_prototypical', 'train')	123	2438
('10b', 'child', 'train')	10	1656
('10b', 'child_prototypical', 'train')	117	2027
('10c', 'child', 'train')	10	1658
('10c', 'child_prototypical', 'train')	105	2030
('10d', 'child', 'train')	10	1659
('10d', 'child_prototypical', 'train')	99	1766
('10e', 'child', 'train')	10	1661
('10e', 'child_prototypical', 'train')	87	1118
('10f', 'child', 'train')	10	1659
('10f', 'child_prototypical', 'train')	99	1766
('1a', 'child', 'train')	10	1655
('1a', 'child_prototypical', 'train')	123	2192
('1b', 'child', 'train')	10	1655
('1b', 'child_prototypical', 'train')	123	2192
('1c', 'child', 'train')	10	1658
('1c', 'child_prototypical', 'train')	105	2030
('1d', 'child', 'train')	10	1653
('1d', 'child_prototypical', 'train')	135	2540
('1e', 'child', 'train')	10	1661
('1e', 'child_prototypical', 'train')	87	1031
('2', 'parent', 'train')	100	690
('2a', 'child', 'train')	10	1654
('2a', 'child_prototypical', 'train')	129	2621
('2b', 'child', 'train')	10	1658
('2b', 'child_prototypical', 'train')	105	1610
('2c', 'child', 'train')	10	1656
('2c', 'child_prototypical', 'train')	117	2144
('2d', 'child', 'train')	10	1659
('2d', 'child_prototypical', 'train')	99	1667
('2e', 'child', 'train')	10	1658
('2e', 'child_prototypical', 'train')	105	1925
('2f', 'child', 'train')	10	1658
('2f', 'child_prototypical', 'train')	105	2240
('2g', 'child', 'train')	10	1653
('2g', 'child_prototypical', 'train')	135	2405
('2h', 'child', 'train')	10	1658
('2h', 'child_prototypical', 'train')	105	1925
('2i', 'child', 'train')	10	1660
('2i', 'child_prototypical', 'train')	93	1706
('2j', 'child', 'train')	10	1659
('2j', 'child_prototypical', 'train')	99	1964
('3', 'parent', 'train')	80	710
('3a', 'child', 'train')	10	1658
('3a', 'child_prototypical', 'train')	105	1925
('3b', 'child', 'train')	10	1658
('3b', 'child_prototypical', 'train')	105	2240
('3c', 'child', 'train')	10	1657
('3c', 'child_prototypical', 'train')	111	1979
('3d', 'child', 'train')	10	1655
('3d', 'child_prototypical', 'train')	123	2315
('3e', 'child', 'train')	10	1664
('3e', 'child_prototypical', 'train')	69	1268
('3f', 'child', 'train')	10	1658
('3f', 'child_prototypical', 'train')	105	2345
('3g', 'child', 'train')	10	1663
('3g', 'child_prototypical', 'train')	75	1340
('3h', 'child', 'train')	10	1659
('3h', 'child_prototypical', 'train')	99	1964
('4', 'parent', 'train')	80	710
('4a', 'child', 'train')	10	1658
('4a', 'child_prototypical', 'train')	105	2240
('4b', 'child', 'train')	10	1662
('4b', 'child_prototypical', 'train')	81	1163
('4c', 'child', 'train')	10	1657
('4c', 'child_prototypical', 'train')	111	2201
('4d', 'child', 'train')	10	1665
('4d', 'child_prototypical', 'train')	63	749
('4e', 'child', 'train')	10	1657
('4e', 'child_prototypical', 'train')	111	2423
('4f', 'child', 'train')	10	1660
('4f', 'child_prototypical', 'train')	93	1892
('4g', 'child', 'train')	10	1654
('4g', 'child_prototypical', 'train')	129	2492
('4h', 'child', 'train')	10	1657
('4h', 'child_prototypical', 'train')	111	2312
('5', 'parent', 'train')	90	700
('5a', 'child', 'train')	10	1655
('5a', 'child_prototypical', 'train')	123	2315
('5b', 'child', 'train')	10	1661
('5b', 'child_prototypical', 'train')	87	1640
('5c', 'child', 'train')	10	1658
('5c', 'child_prototypical', 'train')	105	1925
('5d', 'child', 'train')	10	1654
('5d', 'child_prototypical', 'train')	129	2363
('5e', 'child', 'train')	10	1661
('5e', 'child_prototypical', 'train')	87	1640
('5f', 'child', 'train')	10	1658
('5f', 'child_prototypical', 'train')	105	2135
('5g', 'child', 'train')	10	1660
('5g', 'child_prototypical', 'train')	93	1892
('5h', 'child', 'train')	10	1654
('5h', 'child_prototypical', 'train')	129	2750
('5i', 'child', 'train')	10	1655
('5i', 'child_prototypical', 'train')	123	2561
('6', 'parent', 'train')	80	710
('6a', 'child', 'train')	10	1654
('6a', 'child_prototypical', 'train')	129	2492
('6b', 'child', 'train')	10	1658
('6b', 'child_prototypical', 'train')	105	2135
('6c', 'child', 'train')	10	1656
('6c', 'child_prototypical', 'train')	117	2495
('6d', 'child', 'train')	10	1659
('6d', 'child_prototypical', 'train')	99	2261
('6e', 'child', 'train')	10	1658
('6e', 'child_prototypical', 'train')	105	2135
('6f', 'child', 'train')	10	1657
('6f', 'child_prototypical', 'train')	111	2090
('6g', 'child', 'train')	10	1657
('6g', 'child_prototypical', 'train')	111	1979
('6h', 'child', 'train')	10	1654
('6h', 'child_prototypical', 'train')	129	2621
('7', 'parent', 'train')	80	710
('7a', 'child', 'train')	10	1655
('7a', 'child_prototypical', 'train')	123	2561
('7b', 'child', 'train')	10	1662
('7b', 'child_prototypical', 'train')	81	1082
('7c', 'child', 'train')	10	1658
('7c', 'child_prototypical', 'train')	105	1715
('7d', 'child', 'train')	10	1655
('7d', 'child_prototypical', 'train')	123	2561
('7e', 'child', 'train')	10	1659
('7e', 'child_prototypical', 'train')	99	1568
('7f', 'child', 'train')	10	1657
('7f', 'child_prototypical', 'train')	111	1757
('7g', 'child', 'train')	10	1660
('7g', 'child_prototypical', 'train')	93	1148
('7h', 'child', 'train')	10	1655
('7h', 'child_prototypical', 'train')	123	1946
('8', 'parent', 'train')	80	710
('8a', 'child', 'train')	10	1655
('8a', 'child_prototypical', 'train')	123	2192
('8b', 'child', 'train')	10	1662
('8b', 'child_prototypical', 'train')	81	1487
('8c', 'child', 'train')	10	1657
('8c', 'child_prototypical', 'train')	111	1757
('8d', 'child', 'train')	10	1656
('8d', 'child_prototypical', 'train')	117	1910
('8e', 'child', 'train')	10	1658
('8e', 'child_prototypical', 'train')	105	1610
('8f', 'child', 'train')	10	1657
('8f', 'child_prototypical', 'train')	111	1868
('8g', 'child', 'train')	10	1662
('8g', 'child_prototypical', 'train')	81	839
('8h', 'child', 'train')	10	1655
('8h', 'child_prototypical', 'train')	123	2315
('9', 'parent', 'train')	90	700
('9a', 'child', 'train')	10	1655
('9a', 'child_prototypical', 'train')	123	1946
('9b', 'child', 'train')	10	1657
('9b', 'child_prototypical', 'train')	111	2090
('9c', 'child', 'train')	10	1662
('9c', 'child_prototypical', 'train')	81	596
('9d', 'child', 'train')	10	1660
('9d', 'child_prototypical', 'train')	93	1985
('9e', 'child', 'train')	10	1661
('9e', 'child_prototypical', 'train')	87	1901
('9f', 'child', 'train')	10	1659
('9f', 'child_prototypical', 'train')	99	1766
('9g', 'child', 'train')	10	1655
('9g', 'child_prototypical', 'train')	123	2069
('9h', 'child', 'train')	10	1656
('9h', 'child_prototypical', 'train')	117	2261
('9i', 'child', 'train')	10	1660
('9i', 'child_prototypical', 'train')	93	1613
('AtLocation', 'N/A', 'validation')	960	4646
('CapableOf', 'N/A', 'validation')	536	4734
('Causes', 'N/A', 'validation')	194	4738
('CausesDesire', 'N/A', 'validation')	40	4730
('CreatedBy', 'N/A', 'validation')	4	3554
('DefinedAs', 'N/A', 'validation')	4	1182
('Desires', 'N/A', 'validation')	56	4732
('HasA', 'N/A', 'validation')	168	4772
('HasFirstSubevent', 'N/A', 'validation')	4	3554
('HasLastSubevent', 'N/A', 'validation')	10	4732
('HasPrerequisite', 'N/A', 'validation')	450	4744
('HasProperty', 'N/A', 'validation')	266	4766
('HasSubevent', 'N/A', 'validation')	330	4768
('IsA', 'N/A', 'validation')	816	4688
('MadeOf', 'N/A', 'validation')	48	4726
('MotivatedByGoal', 'N/A', 'validation')	50	4736
('PartOf', 'N/A', 'validation')	82	4742
('ReceivesAction', 'N/A', 'validation')	52	4726
('SymbolOf', 'N/A', 'validation')	4	1184
('UsedFor', 'N/A', 'validation')	660	4760

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",
}