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--- |
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language: |
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- en |
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license: |
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- other |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 1K<n<10K |
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pretty_name: SemEval2012 task 2 Relational Similarity |
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--- |
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# Dataset Card for "relbert/semeval2012_relational_similarity_V6" |
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## Dataset Description |
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- **Repository:** [RelBERT](https://github.com/asahi417/relbert) |
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- **Paper:** [https://aclanthology.org/S12-1047/](https://aclanthology.org/S12-1047/) |
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- **Dataset:** SemEval2012: Relational Similarity |
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### Dataset Summary |
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***IMPORTANT***: This is the same dataset as [relbert/semeval2012_relational_similarity](https://huggingface.co/datasets/relbert/semeval2012_relational_similarity), |
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but with a different dataset construction. |
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Relational similarity dataset from [SemEval2012 task 2](https://aclanthology.org/S12-1047/), compiled to fine-tune [RelBERT](https://github.com/asahi417/relbert) model. |
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The dataset contains a list of positive and negative word pair from 89 pre-defined relations. |
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The relation types are constructed on top of following 10 parent relation types. |
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```shell |
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{ |
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1: "Class Inclusion", # Hypernym |
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2: "Part-Whole", # Meronym, Substance Meronym |
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3: "Similar", # Synonym, Co-hypornym |
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4: "Contrast", # Antonym |
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5: "Attribute", # Attribute, Event |
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6: "Non Attribute", |
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7: "Case Relation", |
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8: "Cause-Purpose", |
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9: "Space-Time", |
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10: "Representation" |
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} |
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``` |
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Each of the parent relation is further grouped into child relation types where the definition can be found [here](https://drive.google.com/file/d/0BzcZKTSeYL8VenY0QkVpZVpxYnc/view?resourcekey=0-ZP-UARfJj39PcLroibHPHw). |
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## Dataset Structure |
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### Data Instances |
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An example of `train` looks as follows. |
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``` |
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{ |
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'relation_type': '8d', |
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'positives': [ [ "breathe", "live" ], [ "study", "learn" ], [ "speak", "communicate" ], ... ] |
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'negatives': [ [ "starving", "hungry" ], [ "clean", "bathe" ], [ "hungry", "starving" ], ... ] |
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} |
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``` |
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### Data Splits |
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| name |train|validation| |
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|---------|----:|---------:| |
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|semeval2012_relational_similarity| 89 | 89| |
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### Number of Positive/Negative Word-pairs in each Split |
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| | positives | negatives | |
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|:--------------------------------------------|------------:|------------:| |
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| ('1', 'parent', 'train') | 88 | 544 | |
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| ('1', 'parent', 'validation') | 22 | 136 | |
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| ('10', 'parent', 'train') | 48 | 584 | |
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| ('10', 'parent', 'validation') | 12 | 146 | |
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| ('10a', 'child', 'train') | 8 | 1324 | |
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| ('10a', 'child', 'validation') | 2 | 331 | |
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| ('10a', 'child_prototypical', 'train') | 194 | 1917 | |
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| ('10a', 'child_prototypical', 'validation') | 52 | 521 | |
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| ('10b', 'child', 'train') | 8 | 1325 | |
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| ('10b', 'child', 'validation') | 2 | 331 | |
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| ('10b', 'child_prototypical', 'train') | 180 | 1558 | |
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| ('10b', 'child_prototypical', 'validation') | 54 | 469 | |
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| ('10c', 'child', 'train') | 8 | 1327 | |
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| ('10c', 'child', 'validation') | 2 | 331 | |
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| ('10c', 'child_prototypical', 'train') | 170 | 1640 | |
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| ('10c', 'child_prototypical', 'validation') | 40 | 390 | |
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| ('10d', 'child', 'train') | 8 | 1328 | |
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| ('10d', 'child', 'validation') | 2 | 331 | |
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| ('10d', 'child_prototypical', 'train') | 154 | 1390 | |
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| ('10d', 'child_prototypical', 'validation') | 44 | 376 | |
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| ('10e', 'child', 'train') | 8 | 1329 | |
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| ('10e', 'child', 'validation') | 2 | 332 | |
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| ('10e', 'child_prototypical', 'train') | 134 | 884 | |
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| ('10e', 'child_prototypical', 'validation') | 40 | 234 | |
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| ('10f', 'child', 'train') | 8 | 1328 | |
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| ('10f', 'child', 'validation') | 2 | 331 | |
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| ('10f', 'child_prototypical', 'train') | 160 | 1460 | |
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| ('10f', 'child_prototypical', 'validation') | 38 | 306 | |
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| ('1a', 'child', 'train') | 8 | 1324 | |
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| ('1a', 'child', 'validation') | 2 | 331 | |
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| ('1a', 'child_prototypical', 'train') | 212 | 1854 | |
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| ('1a', 'child_prototypical', 'validation') | 34 | 338 | |
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| ('1b', 'child', 'train') | 8 | 1324 | |
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| ('1b', 'child', 'validation') | 2 | 331 | |
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| ('1b', 'child_prototypical', 'train') | 190 | 1712 | |
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| ('1b', 'child_prototypical', 'validation') | 56 | 480 | |
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| ('1c', 'child', 'train') | 8 | 1327 | |
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| ('1c', 'child', 'validation') | 2 | 331 | |
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| ('1c', 'child_prototypical', 'train') | 160 | 1528 | |
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| ('1c', 'child_prototypical', 'validation') | 50 | 502 | |
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| ('1d', 'child', 'train') | 8 | 1323 | |
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| ('1d', 'child', 'validation') | 2 | 330 | |
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| ('1d', 'child_prototypical', 'train') | 224 | 2082 | |
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| ('1d', 'child_prototypical', 'validation') | 46 | 458 | |
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| ('1e', 'child', 'train') | 8 | 1329 | |
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| ('1e', 'child', 'validation') | 2 | 332 | |
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| ('1e', 'child_prototypical', 'train') | 126 | 775 | |
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| ('1e', 'child_prototypical', 'validation') | 48 | 256 | |
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| ('2', 'parent', 'train') | 80 | 552 | |
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| ('2', 'parent', 'validation') | 20 | 138 | |
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| ('2a', 'child', 'train') | 8 | 1324 | |
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| ('2a', 'child', 'validation') | 2 | 330 | |
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| ('2a', 'child_prototypical', 'train') | 186 | 1885 | |
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| ('2a', 'child_prototypical', 'validation') | 72 | 736 | |
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| ('2b', 'child', 'train') | 8 | 1327 | |
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| ('2b', 'child', 'validation') | 2 | 331 | |
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| ('2b', 'child_prototypical', 'train') | 172 | 1326 | |
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| ('2b', 'child_prototypical', 'validation') | 38 | 284 | |
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| ('2c', 'child', 'train') | 8 | 1325 | |
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| ('2c', 'child', 'validation') | 2 | 331 | |
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| ('2c', 'child_prototypical', 'train') | 192 | 1773 | |
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| ('2c', 'child_prototypical', 'validation') | 42 | 371 | |
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| ('2d', 'child', 'train') | 8 | 1328 | |
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| ('2d', 'child', 'validation') | 2 | 331 | |
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| ('2d', 'child_prototypical', 'train') | 158 | 1329 | |
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| ('2d', 'child_prototypical', 'validation') | 40 | 338 | |
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| ('2e', 'child', 'train') | 8 | 1327 | |
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| ('2e', 'child', 'validation') | 2 | 331 | |
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| ('2e', 'child_prototypical', 'train') | 164 | 1462 | |
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| ('2e', 'child_prototypical', 'validation') | 46 | 463 | |
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| ('2f', 'child', 'train') | 8 | 1327 | |
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| ('2f', 'child', 'validation') | 2 | 331 | |
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| ('2f', 'child_prototypical', 'train') | 176 | 1869 | |
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| ('2f', 'child_prototypical', 'validation') | 34 | 371 | |
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| ('2g', 'child', 'train') | 8 | 1323 | |
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| ('2g', 'child', 'validation') | 2 | 330 | |
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| ('2g', 'child_prototypical', 'train') | 216 | 1925 | |
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| ('2g', 'child_prototypical', 'validation') | 54 | 480 | |
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| ('2h', 'child', 'train') | 8 | 1327 | |
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| ('2h', 'child', 'validation') | 2 | 331 | |
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| ('2h', 'child_prototypical', 'train') | 168 | 1540 | |
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| ('2h', 'child_prototypical', 'validation') | 42 | 385 | |
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| ('2i', 'child', 'train') | 8 | 1328 | |
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| ('2i', 'child', 'validation') | 2 | 332 | |
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| ('2i', 'child_prototypical', 'train') | 144 | 1335 | |
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| ('2i', 'child_prototypical', 'validation') | 42 | 371 | |
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| ('2j', 'child', 'train') | 8 | 1328 | |
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| ('2j', 'child', 'validation') | 2 | 331 | |
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| ('2j', 'child_prototypical', 'train') | 160 | 1595 | |
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| ('2j', 'child_prototypical', 'validation') | 38 | 369 | |
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| ('3', 'parent', 'train') | 64 | 568 | |
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| ('3', 'parent', 'validation') | 16 | 142 | |
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| ('3a', 'child', 'train') | 8 | 1327 | |
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| ('3a', 'child', 'validation') | 2 | 331 | |
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| ('3a', 'child_prototypical', 'train') | 174 | 1597 | |
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| ('3a', 'child_prototypical', 'validation') | 36 | 328 | |
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| ('3b', 'child', 'train') | 8 | 1327 | |
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| ('3b', 'child', 'validation') | 2 | 331 | |
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| ('3b', 'child_prototypical', 'train') | 174 | 1833 | |
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| ('3b', 'child_prototypical', 'validation') | 36 | 407 | |
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| ('3c', 'child', 'train') | 8 | 1326 | |
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| ('3c', 'child', 'validation') | 2 | 331 | |
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| ('3c', 'child_prototypical', 'train') | 186 | 1664 | |
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| ('3c', 'child_prototypical', 'validation') | 36 | 315 | |
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| ('3d', 'child', 'train') | 8 | 1324 | |
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| ('3d', 'child', 'validation') | 2 | 331 | |
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| ('3d', 'child_prototypical', 'train') | 202 | 1943 | |
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| ('3d', 'child_prototypical', 'validation') | 44 | 372 | |
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| ('3e', 'child', 'train') | 8 | 1332 | |
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| ('3e', 'child', 'validation') | 2 | 332 | |
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| ('3e', 'child_prototypical', 'train') | 98 | 900 | |
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| ('3e', 'child_prototypical', 'validation') | 40 | 368 | |
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| ('3f', 'child', 'train') | 8 | 1327 | |
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| ('3f', 'child', 'validation') | 2 | 331 | |
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| ('3f', 'child_prototypical', 'train') | 180 | 1983 | |
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| ('3f', 'child_prototypical', 'validation') | 30 | 362 | |
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| ('3g', 'child', 'train') | 8 | 1331 | |
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| ('3g', 'child', 'validation') | 2 | 332 | |
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| ('3g', 'child_prototypical', 'train') | 122 | 1089 | |
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| ('3g', 'child_prototypical', 'validation') | 28 | 251 | |
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| ('3h', 'child', 'train') | 8 | 1328 | |
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| ('3h', 'child', 'validation') | 2 | 331 | |
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| ('3h', 'child_prototypical', 'train') | 142 | 1399 | |
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| ('3h', 'child_prototypical', 'validation') | 56 | 565 | |
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| ('4', 'parent', 'train') | 64 | 568 | |
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| ('4', 'parent', 'validation') | 16 | 142 | |
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| ('4a', 'child', 'train') | 8 | 1327 | |
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| ('4a', 'child', 'validation') | 2 | 331 | |
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| ('4a', 'child_prototypical', 'train') | 170 | 1766 | |
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| ('4a', 'child_prototypical', 'validation') | 40 | 474 | |
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| ('4b', 'child', 'train') | 8 | 1330 | |
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| ('4b', 'child', 'validation') | 2 | 332 | |
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| ('4b', 'child_prototypical', 'train') | 132 | 949 | |
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| ('4b', 'child_prototypical', 'validation') | 30 | 214 | |
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| ('4c', 'child', 'train') | 8 | 1326 | |
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| ('4c', 'child', 'validation') | 2 | 331 | |
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| ('4c', 'child_prototypical', 'train') | 172 | 1755 | |
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| ('4c', 'child_prototypical', 'validation') | 50 | 446 | |
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| ('4d', 'child', 'train') | 8 | 1332 | |
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| ('4d', 'child', 'validation') | 2 | 333 | |
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| ('4d', 'child_prototypical', 'train') | 92 | 531 | |
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| ('4d', 'child_prototypical', 'validation') | 34 | 218 | |
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| ('4e', 'child', 'train') | 8 | 1326 | |
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| ('4e', 'child', 'validation') | 2 | 331 | |
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| ('4e', 'child_prototypical', 'train') | 184 | 2021 | |
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| ('4e', 'child_prototypical', 'validation') | 38 | 402 | |
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| ('4f', 'child', 'train') | 8 | 1328 | |
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| ('4f', 'child', 'validation') | 2 | 332 | |
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| ('4f', 'child_prototypical', 'train') | 144 | 1464 | |
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| ('4f', 'child_prototypical', 'validation') | 42 | 428 | |
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| ('4g', 'child', 'train') | 8 | 1324 | |
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| ('4g', 'child', 'validation') | 2 | 330 | |
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| ('4g', 'child_prototypical', 'train') | 212 | 2057 | |
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| ('4g', 'child_prototypical', 'validation') | 46 | 435 | |
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| ('4h', 'child', 'train') | 8 | 1326 | |
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| ('4h', 'child', 'validation') | 2 | 331 | |
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| ('4h', 'child_prototypical', 'train') | 170 | 1787 | |
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| ('4h', 'child_prototypical', 'validation') | 52 | 525 | |
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| ('5', 'parent', 'train') | 72 | 560 | |
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| ('5', 'parent', 'validation') | 18 | 140 | |
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| ('5a', 'child', 'train') | 8 | 1324 | |
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| ('5a', 'child', 'validation') | 2 | 331 | |
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| ('5a', 'child_prototypical', 'train') | 202 | 1876 | |
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| ('5a', 'child_prototypical', 'validation') | 44 | 439 | |
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| ('5b', 'child', 'train') | 8 | 1329 | |
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| ('5b', 'child', 'validation') | 2 | 332 | |
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| ('5b', 'child_prototypical', 'train') | 140 | 1310 | |
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| ('5b', 'child_prototypical', 'validation') | 34 | 330 | |
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| ('5c', 'child', 'train') | 8 | 1327 | |
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| ('5c', 'child', 'validation') | 2 | 331 | |
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| ('5c', 'child_prototypical', 'train') | 170 | 1552 | |
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| ('5c', 'child_prototypical', 'validation') | 40 | 373 | |
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| ('5d', 'child', 'train') | 8 | 1324 | |
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| ('5d', 'child', 'validation') | 2 | 330 | |
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| ('5d', 'child_prototypical', 'train') | 204 | 1783 | |
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| ('5d', 'child_prototypical', 'validation') | 54 | 580 | |
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| ('5e', 'child', 'train') | 8 | 1329 | |
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| ('5e', 'child', 'validation') | 2 | 332 | |
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| ('5e', 'child_prototypical', 'train') | 136 | 1283 | |
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| ('5e', 'child_prototypical', 'validation') | 38 | 357 | |
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| ('5f', 'child', 'train') | 8 | 1327 | |
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| ('5f', 'child', 'validation') | 2 | 331 | |
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| ('5f', 'child_prototypical', 'train') | 154 | 1568 | |
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| ('5f', 'child_prototypical', 'validation') | 56 | 567 | |
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| ('5g', 'child', 'train') | 8 | 1328 | |
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| ('5g', 'child', 'validation') | 2 | 332 | |
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| ('5g', 'child_prototypical', 'train') | 158 | 1626 | |
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| ('5g', 'child_prototypical', 'validation') | 28 | 266 | |
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| ('5h', 'child', 'train') | 8 | 1324 | |
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| ('5h', 'child', 'validation') | 2 | 330 | |
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| ('5h', 'child_prototypical', 'train') | 218 | 2348 | |
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| ('5h', 'child_prototypical', 'validation') | 40 | 402 | |
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| ('5i', 'child', 'train') | 8 | 1324 | |
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| ('5i', 'child', 'validation') | 2 | 331 | |
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| ('5i', 'child_prototypical', 'train') | 192 | 2010 | |
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| ('5i', 'child_prototypical', 'validation') | 54 | 551 | |
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| ('6', 'parent', 'train') | 64 | 568 | |
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| ('6', 'parent', 'validation') | 16 | 142 | |
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| ('6a', 'child', 'train') | 8 | 1324 | |
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| ('6a', 'child', 'validation') | 2 | 330 | |
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| ('6a', 'child_prototypical', 'train') | 204 | 1962 | |
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| ('6a', 'child_prototypical', 'validation') | 54 | 530 | |
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| ('6b', 'child', 'train') | 8 | 1327 | |
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| ('6b', 'child', 'validation') | 2 | 331 | |
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| ('6b', 'child_prototypical', 'train') | 180 | 1840 | |
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| ('6b', 'child_prototypical', 'validation') | 30 | 295 | |
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| ('6c', 'child', 'train') | 8 | 1325 | |
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| ('6c', 'child', 'validation') | 2 | 331 | |
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| ('6c', 'child_prototypical', 'train') | 180 | 1968 | |
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| ('6c', 'child_prototypical', 'validation') | 54 | 527 | |
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| ('6d', 'child', 'train') | 8 | 1328 | |
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| ('6d', 'child', 'validation') | 2 | 331 | |
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| ('6d', 'child_prototypical', 'train') | 164 | 1903 | |
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| ('6d', 'child_prototypical', 'validation') | 34 | 358 | |
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| ('6e', 'child', 'train') | 8 | 1327 | |
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| ('6e', 'child', 'validation') | 2 | 331 | |
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| ('6e', 'child_prototypical', 'train') | 170 | 1737 | |
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| ('6e', 'child_prototypical', 'validation') | 40 | 398 | |
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| ('6f', 'child', 'train') | 8 | 1326 | |
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| ('6f', 'child', 'validation') | 2 | 331 | |
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| ('6f', 'child_prototypical', 'train') | 174 | 1652 | |
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| ('6f', 'child_prototypical', 'validation') | 48 | 438 | |
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| ('6g', 'child', 'train') | 8 | 1326 | |
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| ('6g', 'child', 'validation') | 2 | 331 | |
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| ('6g', 'child_prototypical', 'train') | 188 | 1740 | |
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| ('6g', 'child_prototypical', 'validation') | 34 | 239 | |
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| ('6h', 'child', 'train') | 8 | 1324 | |
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| ('6h', 'child', 'validation') | 2 | 330 | |
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| ('6h', 'child_prototypical', 'train') | 230 | 2337 | |
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| ('6h', 'child_prototypical', 'validation') | 28 | 284 | |
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| ('7', 'parent', 'train') | 64 | 568 | |
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| ('7', 'parent', 'validation') | 16 | 142 | |
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| ('7a', 'child', 'train') | 8 | 1324 | |
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| ('7a', 'child', 'validation') | 2 | 331 | |
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| ('7a', 'child_prototypical', 'train') | 198 | 2045 | |
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| ('7a', 'child_prototypical', 'validation') | 48 | 516 | |
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| ('7b', 'child', 'train') | 8 | 1330 | |
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| ('7b', 'child', 'validation') | 2 | 332 | |
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| ('7b', 'child_prototypical', 'train') | 138 | 905 | |
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| ('7b', 'child_prototypical', 'validation') | 24 | 177 | |
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| ('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 | |
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| ('7d', 'child', 'validation') | 2 | 331 | |
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| ('7d', 'child_prototypical', 'train') | 196 | 2064 | |
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| ('7d', 'child_prototypical', 'validation') | 50 | 497 | |
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| ('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 | |
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| ('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", |
|
} |
|
``` |
