id
stringclasses 20
values | reference
sequence | source
sequence | target
sequence | agreement
sequence | pos
sequence | target_random
sequence |
---|---|---|---|---|---|---|
a1 | [
"solar system",
"atom"
] | [
"solar system",
"sun",
"planet",
"mass",
"attracts",
"revolves",
"gravity"
] | [
"atom",
"nucleus",
"electron",
"charge",
"attracts",
"revolves",
"electromagnetism"
] | [
86.4000015258789,
100,
95.5,
86.4000015258789,
90.9000015258789,
95.5,
81.80000305175781
] | [
"nn",
"nn",
"nn",
"nn",
"vbz",
"vbz",
"nn"
] | [
"electron",
"revolves",
"nucleus",
"attracts",
"atom",
"charge",
"electromagnetism"
] |
a2 | [
"water flow",
"heat transfer"
] | [
"water",
"flows",
"pressure",
"water tower",
"bucket",
"filling",
"emptying",
"hydrodynamics"
] | [
"heat",
"transfers",
"temperature",
"burner",
"kettle",
"heating",
"cooling",
"thermodynamics"
] | [
86.4000015258789,
95.5,
86.4000015258789,
72.69999694824219,
72.69999694824219,
95.5,
95.5,
90.9000015258789
] | [
"nn",
"vbz",
"nn",
"nn",
"nn",
"vbg",
"vbg",
"nn"
] | [
"burner",
"kettle",
"cooling",
"heating",
"transfers",
"thermodynamics",
"temperature",
"heat"
] |
a3 | [
"waves",
"sounds"
] | [
"waves",
"shore",
"reflects",
"water",
"breakwater",
"rough",
"calm",
"crashing"
] | [
"sounds",
"wall",
"echoes",
"air",
"insulation",
"loud",
"quiet",
"vibrating"
] | [
86.4000015258789,
77.30000305175781,
95.5,
95.5,
81.80000305175781,
63.599998474121094,
100,
54.5
] | [
"nns",
"nn",
"vbz",
"nn",
"nn",
"jj",
"jj",
"vbg"
] | [
"quiet",
"wall",
"loud",
"echoes",
"vibrating",
"sounds",
"air",
"insulation"
] |
a4 | [
"combustion",
"respiration"
] | [
"combustion",
"fire",
"fuel",
"burning",
"hot",
"intense",
"oxygen",
"carbon dioxide"
] | [
"respiration",
"animal",
"food",
"breathing",
"living",
"vigorous",
"oxygen",
"carbon dioxide"
] | [
72.69999694824219,
95.5,
90.9000015258789,
72.69999694824219,
59.099998474121094,
77.30000305175781,
77.30000305175781,
86.4000015258789
] | [
"nn",
"nn",
"nn",
"vbg",
"jj",
"jj",
"nn",
"nn"
] | [
"living",
"oxygen",
"food",
"vigorous",
"animal",
"carbon dioxide",
"respiration",
"breathing"
] |
a5 | [
"sound",
"light"
] | [
"sound",
"low",
"high",
"echoes",
"loud",
"quiet",
"horn"
] | [
"light",
"red",
"violet",
"reflects",
"bright",
"dim",
"lens"
] | [
86.4000015258789,
50,
4.5,
100,
90.9000015258789,
77.30000305175781,
95.5
] | [
"nn",
"jj",
"jj",
"vbz",
"jj",
"jj",
"nn"
] | [
"bright",
"dim",
"light",
"reflects",
"red",
"violet",
"lens"
] |
a6 | [
"projectile",
"planet"
] | [
"projectile",
"trajectory",
"earth",
"parabolic",
"air",
"gravity",
"attracts"
] | [
"planet",
"orbit",
"sun",
"elliptical",
"space",
"gravity",
"attracts"
] | [
100,
100,
100,
100,
100,
100,
90.9000015258789,
90.9000015258789
] | [
"nn",
"nn",
"nn",
"jj",
"nn",
"nn",
"vbz"
] | [
"gravity",
"space",
"elliptical",
"orbit",
"attracts",
"planet",
"sun"
] |
a7 | [
"artificial selection",
"natural selection"
] | [
"breeds",
"selection",
"conformance",
"artificial",
"popularity",
"breeding",
"domesticated"
] | [
"species",
"competition",
"adaptation",
"natural",
"fitness",
"mating",
"wild"
] | [
100,
59.099998474121094,
59.099998474121094,
77.30000305175781,
54.5,
95.5,
77.30000305175781
] | [
"nns",
"nn",
"nn",
"jj",
"nn",
"vbg",
"jj"
] | [
"fitness",
"natural",
"wild",
"species",
"mating",
"competition",
"adaptation"
] |
a8 | [
"billiard balls",
"gas molecules"
] | [
"ball",
"billiards",
"speed",
"table",
"bouncing",
"moving",
"slow",
"fast"
] | [
"molecules",
"gas",
"temperature",
"container",
"pressing",
"moving",
"cold",
"hot"
] | [
90.9000015258789,
72.69999694824219,
81.80000305175781,
95.5,
77.30000305175781,
86.4000015258789,
100,
100
] | [
"nns",
"nn",
"nn",
"nn",
"vbg",
"vbg",
"jj",
"jj"
] | [
"gas",
"container",
"moving",
"hot",
"molecules",
"pressing",
"cold",
"temperature"
] |
a9 | [
"computer",
"mind"
] | [
"computer",
"processing",
"erasing",
"write",
"read",
"memory",
"outputs",
"inputs",
"bug"
] | [
"mind",
"thinking",
"forgetting",
"memorize",
"remember",
"memory",
"muscles",
"senses",
"mistake"
] | [
90.9000015258789,
95.5,
100,
72.69999694824219,
54.5,
81.80000305175781,
72.69999694824219,
90.9000015258789,
100
] | [
"nn",
"vbg",
"vbg",
"vb",
"vb",
"nn",
"nns",
"nns",
"nn"
] | [
"memorize",
"forgetting",
"remember",
"mistake",
"memory",
"senses",
"muscles",
"thinking",
"mind"
] |
a10 | [
"slot machines",
"bacterial mutation"
] | [
"slot machines",
"reels",
"spinning",
"winning",
"losing"
] | [
"bacteria",
"genes",
"mutating",
"reproducing",
"dying"
] | [
68.19999694824219,
72.69999694824219,
86.4000015258789,
90.9000015258789,
100
] | [
"nns",
"nns",
"vbg",
"vbg",
"vbg"
] | [
"bacteria",
"reproducing",
"dying",
"genes",
"mutating"
] |
m1 | [
"war",
"argument"
] | [
"war",
"soldier",
"destroy",
"fighting",
"defeat",
"attacks",
"weapon"
] | [
"argument",
"debater",
"refute",
"arguing",
"acceptance",
"criticizes",
"logic"
] | [
90.9000015258789,
100,
90.9000015258789,
95.5,
90.9000015258789,
95.5,
90.9000015258789
] | [
"nn",
"nn",
"vb",
"vbg",
"nn",
"vbg",
"nn"
] | [
"argument",
"arguing",
"debater",
"criticizes",
"acceptance",
"refute",
"logic"
] |
m2 | [
"buying an item",
"accepting a belief"
] | [
"buyer",
"merchandise",
"buying",
"selling",
"returning",
"valuable",
"worthless"
] | [
"believer",
"belief",
"accepting",
"advocating",
"rejecting",
"true",
"false"
] | [
100,
90.9000015258789,
95.5,
100,
95.5,
95.5,
95.5
] | [
"nn",
"nn",
"vbg",
"vbg",
"vbg",
"jj",
"jj"
] | [
"advocating",
"accepting",
"false",
"believer",
"belief",
"rejecting",
"true"
] |
m3 | [
"grounds for a building",
"reasons for a theory"
] | [
"foundations",
"buildings",
"supporting",
"solid",
"weak",
"crack"
] | [
"reasons",
"theories",
"confirming",
"rational",
"dubious",
"flaw"
] | [
72.69999694824219,
77.30000305175781,
95.5,
90.9000015258789,
95.5,
95.5
] | [
"nns",
"nns",
"vbg",
"jj",
"jj",
"nn"
] | [
"theories",
"reasons",
"dubious",
"confirming",
"flaw",
"rational"
] |
m4 | [
"impediments to travel",
"difficulties"
] | [
"obstructions",
"destination",
"route",
"traveller",
"traveling",
"companion",
"arriving"
] | [
"difficulties",
"goal",
"plan",
"person",
"problem solving",
"partner",
"succeeding"
] | [
100,
100,
100,
100,
100,
100,
100
] | [
"nns",
"nn",
"nn",
"nn",
"vbg",
"nn",
"vbg"
] | [
"difficulties",
"problem solving",
"succeeding",
"goal",
"plan",
"person",
"partner"
] |
m5 | [
"money",
"time"
] | [
"money",
"allocate",
"budget",
"effective",
"cheap",
"expansive"
] | [
"time",
"invest",
"schedule",
"efficient",
"quick",
"slow"
] | [
95.5,
86.4000015258789,
86.4000015258789,
86.4000015258789,
50,
59.099998474121094
] | [
"nn",
"vb",
"nn",
"jj",
"jj",
"jj",
"jj",
"jj"
] | [
"quick",
"invest",
"slow",
"efficient",
"schedule",
"time"
] |
m6 | [
"seeds",
"idea"
] | [
"seeds",
"planted",
"fruitful",
"fruit",
"grow",
"wither",
"blossom"
] | [
"ideas",
"inspired",
"productive",
"product",
"develop",
"fail",
"succeed"
] | [
90.9000015258789,
95.5,
81.80000305175781,
95.5,
81.80000305175781,
100,
77.30000305175781
] | [
"nns",
"vbd",
"jj",
"nn",
"vb",
"vb",
"vb"
] | [
"develop",
"succeed",
"fail",
"ideas",
"productive",
"product",
"inspired"
] |
m7 | [
"machine",
"mind"
] | [
"machine",
"working",
"turned on",
"turned off",
"broken",
"power",
"repair"
] | [
"mind",
"thinking",
"awake",
"asleep",
"confused",
"intelligence",
"therapy"
] | [
95.5,
100,
100,
100,
100,
95.5,
100
] | [
"nn",
"vbg",
"jj",
"jj",
"jj",
"nn",
"nn"
] | [
"intelligence",
"thinking",
"mind",
"confused",
"therapy",
"awake",
"asleep"
] |
m8 | [
"object",
"idea"
] | [
"object",
"hold",
"weight",
"heavy",
"light"
] | [
"idea",
"understand",
"analyze",
"important",
"trivial"
] | [
90.9000015258789,
81.80000305175781,
81.80000305175781,
95.5,
95.5
] | [
"nn",
"vb",
"vb",
"jj",
"jj"
] | [
"idea",
"analyze",
"trivial",
"understand",
"important"
] |
m9 | [
"following",
"understanding"
] | [
"follow",
"leader",
"path",
"follower",
"lost",
"wanders",
"twisted",
"straight"
] | [
"understand",
"speaker",
"argument",
"listener",
"misunderstood",
"digresses",
"complicated",
"simple"
] | [
100,
100,
100,
100,
86.4000015258789,
90.9000015258789,
95.5,
100
] | [
"vb",
"nn",
"nn",
"nn",
"jj",
"vbz",
"jj",
"jj"
] | [
"understand",
"simple",
"argument",
"listener",
"misunderstood",
"complicated",
"speaker",
"digresses"
] |
m10 | [
"seeing",
"understanding"
] | [
"seeing",
"light",
"illuminating",
"darkness",
"view",
"hidden"
] | [
"understanding",
"knowledge",
"explaining",
"confusion",
"interpretation",
"secret"
] | [
68.19999694824219,
77.30000305175781,
86.4000015258789,
86.4000015258789,
68.19999694824219,
86.4000015258789
] | [
"vbg",
"nn",
"vbg",
"nn",
"nn",
"jj"
] | [
"knowledge",
"interpretation",
"explaining",
"confusion",
"understanding",
"secret"
] |
Dataset Card for "relbert/relation_mapping"
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 fromsource
to.target
: A correctly orderedtarget_random
that aligns with thesource
.
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}
}
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