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positives
sequence
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sequence
parent
6
[ [ "prisoner", "freedom" ], [ "watch", "blindly" ], [ "old", "youth" ], [ "fill", "empty" ], [ "deceased", "alive" ], [ "speed", "slowly" ], [ "empty", "full" ], [ "miser", "splurge" ], [ "integrity", "dishonest" ...
[ [ "touch", "grope" ], [ "home", "kitchen" ], [ "factory", "car" ], [ "snake", "legs" ], [ "sign", "direction" ], [ "doctor", "degree" ], [ "musician", "instrument" ], [ "persuade", "force" ], [ "arsenal", "weapon...
parent
8
[ [ "exercise", "fitness" ], [ "antibiotic", "infection" ], [ "thirsty", "drink" ], [ "gas", "furnace" ], [ "bath", "cleanliness" ], [ "students", "graduation" ], [ "exercise", "fitness" ], [ "accident", "damage" ], [ ...
[ [ "body", "flesh" ], [ "blemish", "skin" ], [ "below", "above" ], [ "acclaim", "disgrace" ], [ "game", "referee" ], [ "crown", "royalty" ], [ "office", "computer" ], [ "operate", "machine" ], [ "sharpen", "dull" ...
parent
7
[ [ "prescription", "patient" ], [ "coach", "player" ], [ "physician", "degree" ], [ "paper", "pen" ], [ "play", "instrument" ], [ "treatment", "patient" ], [ "therapist", "client" ], [ "coach", "athlete" ], [ "owner",...
[ [ "building", "lobby" ], [ "rotten", "stink" ], [ "repair", "damaged" ], [ "work", "earn" ], [ "dynamite", "explode" ], [ "hand", "finger" ], [ "clothing", "shirt" ], [ "breathing", "hyperventilating" ], [ "fast", ...
parent
5
[ [ "saint", "holiness" ], [ "wash", "clean" ], [ "tired", "exhaustion" ], [ "fill", "empty" ], [ "fish", "swim" ], [ "dead", "rot" ], [ "snow", "cold" ], [ "tycoon", "wealthy" ], [ "crying", "sad" ], [ "co...
[ [ "germs", "sickness" ], [ "lie", "honestly" ], [ "book", "magazine" ], [ "above", "below" ], [ "barber", "scissors" ], [ "gardener", "shovel" ], [ "preacher", "parishioner" ], [ "bank", "river" ], [ "breathe", "...
parent
4
[ [ "cooked", "raw" ], [ "young", "old" ], [ "start", "finish" ], [ "smooth", "rough" ], [ "freezing", "warm" ], [ "low", "up" ], [ "day", "evening" ], [ "alive", "dead" ], [ "crack", "glass" ], [ "blemish"...
[ [ "snacks", "chips" ], [ "coward", "fear" ], [ "heat", "hot" ], [ "invincible", "defeated" ], [ "morning", "sunrise" ], [ "thirst", "drink" ], [ "makeup", "blemishes" ], [ "game", "referee" ], [ "garden", "flower...
parent
3
[ [ "tired", "exhausted" ], [ "jog", "run" ], [ "puppy", "dog" ], [ "sword", "knife" ], [ "cute", "adorable" ], [ "man", "woman" ], [ "pencil", "pen" ], [ "flood", "water" ], [ "dim", "light" ], [ "discipli...
[ [ "script", "movie" ], [ "carpet", "fibers" ], [ "driver", "license" ], [ "artist", "art" ], [ "malleable", "bend" ], [ "award", "winner" ], [ "play", "instrument" ], [ "progress", "regress" ], [ "pitching", "bas...
parent
1
[ [ "smoke", "fire" ], [ "coins", "pennies" ], [ "sunglasses", "eyes" ], [ "flower", "daisy" ], [ "groan", "pain" ], [ "weapon", "spear" ], [ "map", "route" ], [ "meteorology", "weather" ], [ "tears", "sorrow" ],...
[ [ "wash", "clean" ], [ "loss", "grief" ], [ "hot", "cold" ], [ "birth", "death" ], [ "eat", "delicious" ], [ "exercise", "healthy" ], [ "glue", "adhesion" ], [ "hospital", "patient" ], [ "seed", "plant" ], [ ...
parent
10
[ [ "kiss", "love" ], [ "landscape", "photo" ], [ "smile", "happiness" ], [ "choreography", "performance" ], [ "meteorology", "weather" ], [ "tear", "sadness" ], [ "pregnancy", "baby" ], [ "king", "crown" ], [ "license...
[ [ "big", "small" ], [ "glue", "sticky" ], [ "bigot", "hateful" ], [ "library", "books" ], [ "start", "finish" ], [ "kind", "cruelty" ], [ "ocean", "water" ], [ "drunk", "intoxication" ], [ "teach", "educated" ]...
parent
9
[ [ "morning", "sunrise" ], [ "laboratory", "experimenting" ], [ "margin", "paper" ], [ "winter", "christmas" ], [ "puberty", "hormones" ], [ "stream", "bank" ], [ "foreword", "novel" ], [ "office", "desk" ], [ "title"...
[ [ "kiss", "love" ], [ "loss", "grief" ], [ "award", "winner" ], [ "gigantic", "short" ], [ "fish", "swim" ], [ "difficult", "easy" ], [ "danger", "flee" ], [ "good", "wrong" ], [ "fail", "succeed" ], [ "n...
parent
2
[ [ "arsenal", "weapons" ], [ "circus", "ringmaster" ], [ "cave", "entrance" ], [ "corpse", "breath" ], [ "body", "flesh" ], [ "ocean", "dryness" ], [ "chewing", "eating" ], [ "desk", "wood" ], [ "woman", "penis" ...
[ [ "snow", "cold" ], [ "go", "stay" ], [ "bakery", "cake" ], [ "trim", "shorten" ], [ "hunter", "rifle" ], [ "carpet", "vacuum" ], [ "malleable", "bend" ], [ "conception", "birth" ], [ "smoke", "fire" ], [ ...
child
4a
[ [ "happy", "sad" ], [ "full", "empty" ], [ "dry", "wet" ], [ "rich", "poor" ], [ "young", "old" ], [ "smooth", "rough" ], [ "noise", "silence" ], [ "cooked", "raw" ] ]
[ [ "shine", "dimly" ], [ "run", "exercise" ], [ "majority", "small" ], [ "shoe", "foot" ], [ "butcher", "knife" ], [ "lubricant", "oil" ], [ "pain", "medicate" ], [ "rest", "restorative" ], [ "dismayed", "depresse...
child
5e
[ [ "tailor", "sew" ], [ "pastor", "preach" ], [ "dog", "bark" ], [ "chef", "cook" ], [ "heart", "beat" ], [ "lion", "roar" ], [ "dynamite", "explode" ], [ "fish", "swim" ] ]
[ [ "young", "old" ], [ "baby", "adult" ], [ "recipe", "ingredient" ], [ "utensils", "forks" ], [ "hunter", "rifle" ], [ "boat", "ship" ], [ "athlete", "fit" ], [ "antibiotics", "bacteria" ], [ "wound", "bandage" ...
End of preview. Expand in Data Studio

Dataset Card for "relbert/semeval2012_relational_similarity_V6"

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') 88 544
('1', 'parent', 'validation') 22 136
('10', 'parent', 'train') 48 584
('10', 'parent', 'validation') 12 146
('10a', 'child', 'train') 8 1324
('10a', 'child', 'validation') 2 331
('10a', 'child_prototypical', 'train') 194 1917
('10a', 'child_prototypical', 'validation') 52 521
('10b', 'child', 'train') 8 1325
('10b', 'child', 'validation') 2 331
('10b', 'child_prototypical', 'train') 180 1558
('10b', 'child_prototypical', 'validation') 54 469
('10c', 'child', 'train') 8 1327
('10c', 'child', 'validation') 2 331
('10c', 'child_prototypical', 'train') 170 1640
('10c', 'child_prototypical', 'validation') 40 390
('10d', 'child', 'train') 8 1328
('10d', 'child', 'validation') 2 331
('10d', 'child_prototypical', 'train') 154 1390
('10d', 'child_prototypical', 'validation') 44 376
('10e', 'child', 'train') 8 1329
('10e', 'child', 'validation') 2 332
('10e', 'child_prototypical', 'train') 134 884
('10e', 'child_prototypical', 'validation') 40 234
('10f', 'child', 'train') 8 1328
('10f', 'child', 'validation') 2 331
('10f', 'child_prototypical', 'train') 160 1460
('10f', 'child_prototypical', 'validation') 38 306
('1a', 'child', 'train') 8 1324
('1a', 'child', 'validation') 2 331
('1a', 'child_prototypical', 'train') 212 1854
('1a', 'child_prototypical', 'validation') 34 338
('1b', 'child', 'train') 8 1324
('1b', 'child', 'validation') 2 331
('1b', 'child_prototypical', 'train') 190 1712
('1b', 'child_prototypical', 'validation') 56 480
('1c', 'child', 'train') 8 1327
('1c', 'child', 'validation') 2 331
('1c', 'child_prototypical', 'train') 160 1528
('1c', 'child_prototypical', 'validation') 50 502
('1d', 'child', 'train') 8 1323
('1d', 'child', 'validation') 2 330
('1d', 'child_prototypical', 'train') 224 2082
('1d', 'child_prototypical', 'validation') 46 458
('1e', 'child', 'train') 8 1329
('1e', 'child', 'validation') 2 332
('1e', 'child_prototypical', 'train') 126 775
('1e', 'child_prototypical', 'validation') 48 256
('2', 'parent', 'train') 80 552
('2', 'parent', 'validation') 20 138
('2a', 'child', 'train') 8 1324
('2a', 'child', 'validation') 2 330
('2a', 'child_prototypical', 'train') 186 1885
('2a', 'child_prototypical', 'validation') 72 736
('2b', 'child', 'train') 8 1327
('2b', 'child', 'validation') 2 331
('2b', 'child_prototypical', 'train') 172 1326
('2b', 'child_prototypical', 'validation') 38 284
('2c', 'child', 'train') 8 1325
('2c', 'child', 'validation') 2 331
('2c', 'child_prototypical', 'train') 192 1773
('2c', 'child_prototypical', 'validation') 42 371
('2d', 'child', 'train') 8 1328
('2d', 'child', 'validation') 2 331
('2d', 'child_prototypical', 'train') 158 1329
('2d', 'child_prototypical', 'validation') 40 338
('2e', 'child', 'train') 8 1327
('2e', 'child', 'validation') 2 331
('2e', 'child_prototypical', 'train') 164 1462
('2e', 'child_prototypical', 'validation') 46 463
('2f', 'child', 'train') 8 1327
('2f', 'child', 'validation') 2 331
('2f', 'child_prototypical', 'train') 176 1869
('2f', 'child_prototypical', 'validation') 34 371
('2g', 'child', 'train') 8 1323
('2g', 'child', 'validation') 2 330
('2g', 'child_prototypical', 'train') 216 1925
('2g', 'child_prototypical', 'validation') 54 480
('2h', 'child', 'train') 8 1327
('2h', 'child', 'validation') 2 331
('2h', 'child_prototypical', 'train') 168 1540
('2h', 'child_prototypical', 'validation') 42 385
('2i', 'child', 'train') 8 1328
('2i', 'child', 'validation') 2 332
('2i', 'child_prototypical', 'train') 144 1335
('2i', 'child_prototypical', 'validation') 42 371
('2j', 'child', 'train') 8 1328
('2j', 'child', 'validation') 2 331
('2j', 'child_prototypical', 'train') 160 1595
('2j', 'child_prototypical', 'validation') 38 369
('3', 'parent', 'train') 64 568
('3', 'parent', 'validation') 16 142
('3a', 'child', 'train') 8 1327
('3a', 'child', 'validation') 2 331
('3a', 'child_prototypical', 'train') 174 1597
('3a', 'child_prototypical', 'validation') 36 328
('3b', 'child', 'train') 8 1327
('3b', 'child', 'validation') 2 331
('3b', 'child_prototypical', 'train') 174 1833
('3b', 'child_prototypical', 'validation') 36 407
('3c', 'child', 'train') 8 1326
('3c', 'child', 'validation') 2 331
('3c', 'child_prototypical', 'train') 186 1664
('3c', 'child_prototypical', 'validation') 36 315
('3d', 'child', 'train') 8 1324
('3d', 'child', 'validation') 2 331
('3d', 'child_prototypical', 'train') 202 1943
('3d', 'child_prototypical', 'validation') 44 372
('3e', 'child', 'train') 8 1332
('3e', 'child', 'validation') 2 332
('3e', 'child_prototypical', 'train') 98 900
('3e', 'child_prototypical', 'validation') 40 368
('3f', 'child', 'train') 8 1327
('3f', 'child', 'validation') 2 331
('3f', 'child_prototypical', 'train') 180 1983
('3f', 'child_prototypical', 'validation') 30 362
('3g', 'child', 'train') 8 1331
('3g', 'child', 'validation') 2 332
('3g', 'child_prototypical', 'train') 122 1089
('3g', 'child_prototypical', 'validation') 28 251
('3h', 'child', 'train') 8 1328
('3h', 'child', 'validation') 2 331
('3h', 'child_prototypical', 'train') 142 1399
('3h', 'child_prototypical', 'validation') 56 565
('4', 'parent', 'train') 64 568
('4', 'parent', 'validation') 16 142
('4a', 'child', 'train') 8 1327
('4a', 'child', 'validation') 2 331
('4a', 'child_prototypical', 'train') 170 1766
('4a', 'child_prototypical', 'validation') 40 474
('4b', 'child', 'train') 8 1330
('4b', 'child', 'validation') 2 332
('4b', 'child_prototypical', 'train') 132 949
('4b', 'child_prototypical', 'validation') 30 214
('4c', 'child', 'train') 8 1326
('4c', 'child', 'validation') 2 331
('4c', 'child_prototypical', 'train') 172 1755
('4c', 'child_prototypical', 'validation') 50 446
('4d', 'child', 'train') 8 1332
('4d', 'child', 'validation') 2 333
('4d', 'child_prototypical', 'train') 92 531
('4d', 'child_prototypical', 'validation') 34 218
('4e', 'child', 'train') 8 1326
('4e', 'child', 'validation') 2 331
('4e', 'child_prototypical', 'train') 184 2021
('4e', 'child_prototypical', 'validation') 38 402
('4f', 'child', 'train') 8 1328
('4f', 'child', 'validation') 2 332
('4f', 'child_prototypical', 'train') 144 1464
('4f', 'child_prototypical', 'validation') 42 428
('4g', 'child', 'train') 8 1324
('4g', 'child', 'validation') 2 330
('4g', 'child_prototypical', 'train') 212 2057
('4g', 'child_prototypical', 'validation') 46 435
('4h', 'child', 'train') 8 1326
('4h', 'child', 'validation') 2 331
('4h', 'child_prototypical', 'train') 170 1787
('4h', 'child_prototypical', 'validation') 52 525
('5', 'parent', 'train') 72 560
('5', 'parent', 'validation') 18 140
('5a', 'child', 'train') 8 1324
('5a', 'child', 'validation') 2 331
('5a', 'child_prototypical', 'train') 202 1876
('5a', 'child_prototypical', 'validation') 44 439
('5b', 'child', 'train') 8 1329
('5b', 'child', 'validation') 2 332
('5b', 'child_prototypical', 'train') 140 1310
('5b', 'child_prototypical', 'validation') 34 330
('5c', 'child', 'train') 8 1327
('5c', 'child', 'validation') 2 331
('5c', 'child_prototypical', 'train') 170 1552
('5c', 'child_prototypical', 'validation') 40 373
('5d', 'child', 'train') 8 1324
('5d', 'child', 'validation') 2 330
('5d', 'child_prototypical', 'train') 204 1783
('5d', 'child_prototypical', 'validation') 54 580
('5e', 'child', 'train') 8 1329
('5e', 'child', 'validation') 2 332
('5e', 'child_prototypical', 'train') 136 1283
('5e', 'child_prototypical', 'validation') 38 357
('5f', 'child', 'train') 8 1327
('5f', 'child', 'validation') 2 331
('5f', 'child_prototypical', 'train') 154 1568
('5f', 'child_prototypical', 'validation') 56 567
('5g', 'child', 'train') 8 1328
('5g', 'child', 'validation') 2 332
('5g', 'child_prototypical', 'train') 158 1626
('5g', 'child_prototypical', 'validation') 28 266
('5h', 'child', 'train') 8 1324
('5h', 'child', 'validation') 2 330
('5h', 'child_prototypical', 'train') 218 2348
('5h', 'child_prototypical', 'validation') 40 402
('5i', 'child', 'train') 8 1324
('5i', 'child', 'validation') 2 331
('5i', 'child_prototypical', 'train') 192 2010
('5i', 'child_prototypical', 'validation') 54 551
('6', 'parent', 'train') 64 568
('6', 'parent', 'validation') 16 142
('6a', 'child', 'train') 8 1324
('6a', 'child', 'validation') 2 330
('6a', 'child_prototypical', 'train') 204 1962
('6a', 'child_prototypical', 'validation') 54 530
('6b', 'child', 'train') 8 1327
('6b', 'child', 'validation') 2 331
('6b', 'child_prototypical', 'train') 180 1840
('6b', 'child_prototypical', 'validation') 30 295
('6c', 'child', 'train') 8 1325
('6c', 'child', 'validation') 2 331
('6c', 'child_prototypical', 'train') 180 1968
('6c', 'child_prototypical', 'validation') 54 527
('6d', 'child', 'train') 8 1328
('6d', 'child', 'validation') 2 331
('6d', 'child_prototypical', 'train') 164 1903
('6d', 'child_prototypical', 'validation') 34 358
('6e', 'child', 'train') 8 1327
('6e', 'child', 'validation') 2 331
('6e', 'child_prototypical', 'train') 170 1737
('6e', 'child_prototypical', 'validation') 40 398
('6f', 'child', 'train') 8 1326
('6f', 'child', 'validation') 2 331
('6f', 'child_prototypical', 'train') 174 1652
('6f', 'child_prototypical', 'validation') 48 438
('6g', 'child', 'train') 8 1326
('6g', 'child', 'validation') 2 331
('6g', 'child_prototypical', 'train') 188 1740
('6g', 'child_prototypical', 'validation') 34 239
('6h', 'child', 'train') 8 1324
('6h', 'child', 'validation') 2 330
('6h', 'child_prototypical', 'train') 230 2337
('6h', 'child_prototypical', 'validation') 28 284
('7', 'parent', 'train') 64 568
('7', 'parent', 'validation') 16 142
('7a', 'child', 'train') 8 1324
('7a', 'child', 'validation') 2 331
('7a', 'child_prototypical', 'train') 198 2045
('7a', 'child_prototypical', 'validation') 48 516
('7b', 'child', 'train') 8 1330
('7b', 'child', 'validation') 2 332
('7b', 'child_prototypical', 'train') 138 905
('7b', 'child_prototypical', 'validation') 24 177
('7c', 'child', 'train') 8 1327
('7c', 'child', 'validation') 2 331
('7c', 'child_prototypical', 'train') 170 1402
('7c', 'child_prototypical', 'validation') 40 313
('7d', 'child', 'train') 8 1324
('7d', 'child', 'validation') 2 331
('7d', 'child_prototypical', 'train') 196 2064
('7d', 'child_prototypical', 'validation') 50 497
('7e', 'child', 'train') 8 1328
('7e', 'child', 'validation') 2 331
('7e', 'child_prototypical', 'train') 156 1270
('7e', 'child_prototypical', 'validation') 42 298
('7f', 'child', 'train') 8 1326
('7f', 'child', 'validation') 2 331
('7f', 'child_prototypical', 'train') 178 1377
('7f', 'child_prototypical', 'validation') 44 380
('7g', 'child', 'train') 8 1328
('7g', 'child', 'validation') 2 332
('7g', 'child_prototypical', 'train') 144 885
('7g', 'child_prototypical', 'validation') 42 263
('7h', 'child', 'train') 8 1324
('7h', 'child', 'validation') 2 331
('7h', 'child_prototypical', 'train') 188 1479
('7h', 'child_prototypical', 'validation') 58 467
('8', 'parent', 'train') 64 568
('8', 'parent', 'validation') 16 142
('8a', 'child', 'train') 8 1324
('8a', 'child', 'validation') 2 331
('8a', 'child_prototypical', 'train') 186 1640
('8a', 'child_prototypical', 'validation') 60 552
('8b', 'child', 'train') 8 1330
('8b', 'child', 'validation') 2 332
('8b', 'child_prototypical', 'train') 122 1126
('8b', 'child_prototypical', 'validation') 40 361
('8c', 'child', 'train') 8 1326
('8c', 'child', 'validation') 2 331
('8c', 'child_prototypical', 'train') 192 1547
('8c', 'child_prototypical', 'validation') 30 210
('8d', 'child', 'train') 8 1325
('8d', 'child', 'validation') 2 331
('8d', 'child_prototypical', 'train') 184 1472
('8d', 'child_prototypical', 'validation') 50 438
('8e', 'child', 'train') 8 1327
('8e', 'child', 'validation') 2 331
('8e', 'child_prototypical', 'train') 174 1340
('8e', 'child_prototypical', 'validation') 36 270
('8f', 'child', 'train') 8 1326
('8f', 'child', 'validation') 2 331
('8f', 'child_prototypical', 'train') 166 1416
('8f', 'child_prototypical', 'validation') 56 452
('8g', 'child', 'train') 8 1330
('8g', 'child', 'validation') 2 332
('8g', 'child_prototypical', 'train') 124 640
('8g', 'child_prototypical', 'validation') 38 199
('8h', 'child', 'train') 8 1324
('8h', 'child', 'validation') 2 331
('8h', 'child_prototypical', 'train') 200 1816
('8h', 'child_prototypical', 'validation') 46 499
('9', 'parent', 'train') 72 560
('9', 'parent', 'validation') 18 140
('9a', 'child', 'train') 8 1324
('9a', 'child', 'validation') 2 331
('9a', 'child_prototypical', 'train') 192 1520
('9a', 'child_prototypical', 'validation') 54 426
('9b', 'child', 'train') 8 1326
('9b', 'child', 'validation') 2 331
('9b', 'child_prototypical', 'train') 186 1783
('9b', 'child_prototypical', 'validation') 36 307
('9c', 'child', 'train') 8 1330
('9c', 'child', 'validation') 2 332
('9c', 'child_prototypical', 'train') 118 433
('9c', 'child_prototypical', 'validation') 44 163
('9d', 'child', 'train') 8 1328
('9d', 'child', 'validation') 2 332
('9d', 'child_prototypical', 'train') 156 1683
('9d', 'child_prototypical', 'validation') 30 302
('9e', 'child', 'train') 8 1329
('9e', 'child', 'validation') 2 332
('9e', 'child_prototypical', 'train') 132 1426
('9e', 'child_prototypical', 'validation') 42 475
('9f', 'child', 'train') 8 1328
('9f', 'child', 'validation') 2 331
('9f', 'child_prototypical', 'train') 158 1436
('9f', 'child_prototypical', 'validation') 40 330
('9g', 'child', 'train') 8 1324
('9g', 'child', 'validation') 2 331
('9g', 'child_prototypical', 'train') 200 1685
('9g', 'child_prototypical', 'validation') 46 384
('9h', 'child', 'train') 8 1325
('9h', 'child', 'validation') 2 331
('9h', 'child_prototypical', 'train') 190 1799
('9h', 'child_prototypical', 'validation') 44 462
('9i', 'child', 'train') 8 1328
('9i', 'child', 'validation') 2 332
('9i', 'child_prototypical', 'train') 158 1361
('9i', 'child_prototypical', 'validation') 28 252

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",
}
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