Dataset Card for "relbert/semeval2012_relational_similarity"

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",
}