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pretty_name: Relation Mapping

Dataset Card for "relbert/relation_mapping"

Dataset Description

Dataset Summary

Relation Mapping is a task to choose optimal combination of word pairs (see more detail in the paper).

Relation mapping M is the set of bijective map in between two sets of terms (A and B):

[set `A`]: ("solar system", "sun", "planet", "mass", "attracts", "revolves", "gravity")
[set `B`]: ("atom", "nucleus", "electron", "charge", "attracts", "revolves", "electromagnetism")

[Relation Mapping `M`]
* "solar system"   -> "atom"
* "sun"            -> "nucleus"
* "planet"         -> "electron"
* "mass"           -> "charge"
* "attracts"       -> "attracts"
* "revolves"       -> "revolves"
* "gravity"        -> "electromagnetism"

Relation Mapping Problem is the task to identify the mapping M given the sets of terms A and B.

Dataset Structure

Data Instances

An example looks as follows.

{
 "id": "m10",
 "reference": ["seeing", "understanding"],
 "source": ["seeing", "light", "illuminating", "darkness", "view", "hidden"],
 "target": ["understanding", "knowledge", "explaining", "confusion", "interpretation", "secret"],
 "agreement": [68.2, 77.3, 86.4, 86.4, 68.2, 86.4],
 "pos": ["vbg", "nn", "vbg", "nn", "nn", "jj"],
 "target_random": ["knowledge", "interpretation", "explaining", "confusion", "understanding", "secret"]
}
  • source: A list of terms, which is the source of the relation mapping from.
  • target_random: A list of terms, where we want to find a mapping from source to.
  • target: A correctly ordered target_random that aligns with the source.

Given source and target_random, the task is to predict the correct order of target_random so that it matches target. In average 7 terms are in the set, so the total number of possible order is 5040.

Data Splits

name test
relation_mapping 20

Citation Information 

@article{turney2008latent,
  title={The latent relation mapping engine: Algorithm and experiments},
  author={Turney, Peter D},
  journal={Journal of Artificial Intelligence Research},
  volume={33},
  pages={615--655},
  year={2008}
}