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  1. .gitattributes +2 -0
  2. README.md +417 -0
  3. dataset/train.jsonl +3 -0
  4. dataset/valid.jsonl +3 -0
  5. get_stats.py +22 -0
  6. process.py +190 -0
  7. semeval2012_relational_similarity_v6.py +84 -0
  8. stats.csv +337 -0
  9. stats.md +338 -0
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+ dataset/train.jsonl filter=lfs diff=lfs merge=lfs -text
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+ dataset/valid.jsonl filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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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_v4"
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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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+
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+ ### Dataset Summary
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+
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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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+
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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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+
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+
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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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+
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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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+
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+
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+ ### Number of Positive/Negative Word-pairs in each Split
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+
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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') | 97 | 1917 |
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+ | ('10a', 'child_prototypical', 'validation') | 26 | 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') | 90 | 1558 |
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+ | ('10b', 'child_prototypical', 'validation') | 27 | 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') | 85 | 1640 |
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+ | ('10c', 'child_prototypical', 'validation') | 20 | 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') | 77 | 1390 |
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+ | ('10d', 'child_prototypical', 'validation') | 22 | 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') | 67 | 884 |
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+ | ('10e', 'child_prototypical', 'validation') | 20 | 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') | 80 | 1460 |
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+ | ('10f', 'child_prototypical', 'validation') | 19 | 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') | 106 | 1854 |
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+ | ('1a', 'child_prototypical', 'validation') | 17 | 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') | 95 | 1712 |
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+ | ('1b', 'child_prototypical', 'validation') | 28 | 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') | 80 | 1528 |
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+ | ('1c', 'child_prototypical', 'validation') | 25 | 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') | 112 | 2082 |
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+ | ('1d', 'child_prototypical', 'validation') | 23 | 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') | 63 | 775 |
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+ | ('1e', 'child_prototypical', 'validation') | 24 | 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') | 93 | 1885 |
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+ | ('2a', 'child_prototypical', 'validation') | 36 | 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') | 86 | 1326 |
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+ | ('2b', 'child_prototypical', 'validation') | 19 | 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') | 96 | 1773 |
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+ | ('2c', 'child_prototypical', 'validation') | 21 | 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') | 79 | 1329 |
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+ | ('2d', 'child_prototypical', 'validation') | 20 | 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') | 82 | 1462 |
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+ | ('2e', 'child_prototypical', 'validation') | 23 | 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') | 88 | 1869 |
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+ | ('2f', 'child_prototypical', 'validation') | 17 | 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') | 108 | 1925 |
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+ | ('2g', 'child_prototypical', 'validation') | 27 | 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') | 84 | 1540 |
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+ | ('2h', 'child_prototypical', 'validation') | 21 | 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') | 72 | 1335 |
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+ | ('2i', 'child_prototypical', 'validation') | 21 | 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') | 80 | 1595 |
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+ | ('2j', 'child_prototypical', 'validation') | 19 | 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') | 87 | 1597 |
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+ | ('3a', 'child_prototypical', 'validation') | 18 | 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') | 87 | 1833 |
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+ | ('3b', 'child_prototypical', 'validation') | 18 | 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') | 93 | 1664 |
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+ | ('3c', 'child_prototypical', 'validation') | 18 | 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') | 101 | 1943 |
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+ | ('3d', 'child_prototypical', 'validation') | 22 | 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') | 49 | 900 |
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+ | ('3e', 'child_prototypical', 'validation') | 20 | 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') | 90 | 1983 |
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+ | ('3f', 'child_prototypical', 'validation') | 15 | 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') | 61 | 1089 |
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+ | ('3g', 'child_prototypical', 'validation') | 14 | 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') | 71 | 1399 |
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+ | ('3h', 'child_prototypical', 'validation') | 28 | 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') | 85 | 1766 |
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+ | ('4a', 'child_prototypical', 'validation') | 20 | 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') | 66 | 949 |
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+ | ('4b', 'child_prototypical', 'validation') | 15 | 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') | 86 | 1755 |
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+ | ('4c', 'child_prototypical', 'validation') | 25 | 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') | 46 | 531 |
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+ | ('4d', 'child_prototypical', 'validation') | 17 | 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') | 92 | 2021 |
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+ | ('4e', 'child_prototypical', 'validation') | 19 | 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') | 72 | 1464 |
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+ | ('4f', 'child_prototypical', 'validation') | 21 | 428 |
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+ | ('4g', 'child', 'train') | 8 | 1324 |
215
+ | ('4g', 'child', 'validation') | 2 | 330 |
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+ | ('4g', 'child_prototypical', 'train') | 106 | 2057 |
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+ | ('4g', 'child_prototypical', 'validation') | 23 | 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') | 85 | 1787 |
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+ | ('4h', 'child_prototypical', 'validation') | 26 | 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') | 101 | 1876 |
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+ | ('5a', 'child_prototypical', 'validation') | 22 | 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') | 70 | 1310 |
231
+ | ('5b', 'child_prototypical', 'validation') | 17 | 330 |
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+ | ('5c', 'child', 'train') | 8 | 1327 |
233
+ | ('5c', 'child', 'validation') | 2 | 331 |
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+ | ('5c', 'child_prototypical', 'train') | 85 | 1552 |
235
+ | ('5c', 'child_prototypical', 'validation') | 20 | 373 |
236
+ | ('5d', 'child', 'train') | 8 | 1324 |
237
+ | ('5d', 'child', 'validation') | 2 | 330 |
238
+ | ('5d', 'child_prototypical', 'train') | 102 | 1783 |
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+ | ('5d', 'child_prototypical', 'validation') | 27 | 580 |
240
+ | ('5e', 'child', 'train') | 8 | 1329 |
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+ | ('5e', 'child', 'validation') | 2 | 332 |
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+ | ('5e', 'child_prototypical', 'train') | 68 | 1283 |
243
+ | ('5e', 'child_prototypical', 'validation') | 19 | 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') | 77 | 1568 |
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+ | ('5f', 'child_prototypical', 'validation') | 28 | 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') | 79 | 1626 |
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+ | ('5g', 'child_prototypical', 'validation') | 14 | 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') | 109 | 2348 |
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+ | ('5h', 'child_prototypical', 'validation') | 20 | 402 |
256
+ | ('5i', 'child', 'train') | 8 | 1324 |
257
+ | ('5i', 'child', 'validation') | 2 | 331 |
258
+ | ('5i', 'child_prototypical', 'train') | 96 | 2010 |
259
+ | ('5i', 'child_prototypical', 'validation') | 27 | 551 |
260
+ | ('6', 'parent', 'train') | 64 | 568 |
261
+ | ('6', 'parent', 'validation') | 16 | 142 |
262
+ | ('6a', 'child', 'train') | 8 | 1324 |
263
+ | ('6a', 'child', 'validation') | 2 | 330 |
264
+ | ('6a', 'child_prototypical', 'train') | 102 | 1962 |
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+ | ('6a', 'child_prototypical', 'validation') | 27 | 530 |
266
+ | ('6b', 'child', 'train') | 8 | 1327 |
267
+ | ('6b', 'child', 'validation') | 2 | 331 |
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+ | ('6b', 'child_prototypical', 'train') | 90 | 1840 |
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+ | ('6b', 'child_prototypical', 'validation') | 15 | 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') | 90 | 1968 |
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+ | ('6c', 'child_prototypical', 'validation') | 27 | 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') | 82 | 1903 |
277
+ | ('6d', 'child_prototypical', 'validation') | 17 | 358 |
278
+ | ('6e', 'child', 'train') | 8 | 1327 |
279
+ | ('6e', 'child', 'validation') | 2 | 331 |
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+ | ('6e', 'child_prototypical', 'train') | 85 | 1737 |
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+ | ('6e', 'child_prototypical', 'validation') | 20 | 398 |
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+ | ('6f', 'child', 'train') | 8 | 1326 |
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+ | ('6f', 'child', 'validation') | 2 | 331 |
284
+ | ('6f', 'child_prototypical', 'train') | 87 | 1652 |
285
+ | ('6f', 'child_prototypical', 'validation') | 24 | 438 |
286
+ | ('6g', 'child', 'train') | 8 | 1326 |
287
+ | ('6g', 'child', 'validation') | 2 | 331 |
288
+ | ('6g', 'child_prototypical', 'train') | 94 | 1740 |
289
+ | ('6g', 'child_prototypical', 'validation') | 17 | 239 |
290
+ | ('6h', 'child', 'train') | 8 | 1324 |
291
+ | ('6h', 'child', 'validation') | 2 | 330 |
292
+ | ('6h', 'child_prototypical', 'train') | 115 | 2337 |
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+ | ('6h', 'child_prototypical', 'validation') | 14 | 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') | 99 | 2045 |
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+ | ('7a', 'child_prototypical', 'validation') | 24 | 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') | 69 | 905 |
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+ | ('7b', 'child_prototypical', 'validation') | 12 | 177 |
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+ | ('7c', 'child', 'train') | 8 | 1327 |
305
+ | ('7c', 'child', 'validation') | 2 | 331 |
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+ | ('7c', 'child_prototypical', 'train') | 85 | 1402 |
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+ | ('7c', 'child_prototypical', 'validation') | 20 | 313 |
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+ | ('7d', 'child', 'train') | 8 | 1324 |
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+ | ('7d', 'child', 'validation') | 2 | 331 |
310
+ | ('7d', 'child_prototypical', 'train') | 98 | 2064 |
311
+ | ('7d', 'child_prototypical', 'validation') | 25 | 497 |
312
+ | ('7e', 'child', 'train') | 8 | 1328 |
313
+ | ('7e', 'child', 'validation') | 2 | 331 |
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+ | ('7e', 'child_prototypical', 'train') | 78 | 1270 |
315
+ | ('7e', 'child_prototypical', 'validation') | 21 | 298 |
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+ | ('7f', 'child', 'train') | 8 | 1326 |
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+ | ('7f', 'child', 'validation') | 2 | 331 |
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+ | ('7f', 'child_prototypical', 'train') | 89 | 1377 |
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+ | ('7f', 'child_prototypical', 'validation') | 22 | 380 |
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+ | ('7g', 'child', 'train') | 8 | 1328 |
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+ | ('7g', 'child', 'validation') | 2 | 332 |
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+ | ('7g', 'child_prototypical', 'train') | 72 | 885 |
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+ | ('7g', 'child_prototypical', 'validation') | 21 | 263 |
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+ | ('7h', 'child', 'train') | 8 | 1324 |
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+ | ('7h', 'child', 'validation') | 2 | 331 |
326
+ | ('7h', 'child_prototypical', 'train') | 94 | 1479 |
327
+ | ('7h', 'child_prototypical', 'validation') | 29 | 467 |
328
+ | ('8', 'parent', 'train') | 64 | 568 |
329
+ | ('8', 'parent', 'validation') | 16 | 142 |
330
+ | ('8a', 'child', 'train') | 8 | 1324 |
331
+ | ('8a', 'child', 'validation') | 2 | 331 |
332
+ | ('8a', 'child_prototypical', 'train') | 93 | 1640 |
333
+ | ('8a', 'child_prototypical', 'validation') | 30 | 552 |
334
+ | ('8b', 'child', 'train') | 8 | 1330 |
335
+ | ('8b', 'child', 'validation') | 2 | 332 |
336
+ | ('8b', 'child_prototypical', 'train') | 61 | 1126 |
337
+ | ('8b', 'child_prototypical', 'validation') | 20 | 361 |
338
+ | ('8c', 'child', 'train') | 8 | 1326 |
339
+ | ('8c', 'child', 'validation') | 2 | 331 |
340
+ | ('8c', 'child_prototypical', 'train') | 96 | 1547 |
341
+ | ('8c', 'child_prototypical', 'validation') | 15 | 210 |
342
+ | ('8d', 'child', 'train') | 8 | 1325 |
343
+ | ('8d', 'child', 'validation') | 2 | 331 |
344
+ | ('8d', 'child_prototypical', 'train') | 92 | 1472 |
345
+ | ('8d', 'child_prototypical', 'validation') | 25 | 438 |
346
+ | ('8e', 'child', 'train') | 8 | 1327 |
347
+ | ('8e', 'child', 'validation') | 2 | 331 |
348
+ | ('8e', 'child_prototypical', 'train') | 87 | 1340 |
349
+ | ('8e', 'child_prototypical', 'validation') | 18 | 270 |
350
+ | ('8f', 'child', 'train') | 8 | 1326 |
351
+ | ('8f', 'child', 'validation') | 2 | 331 |
352
+ | ('8f', 'child_prototypical', 'train') | 83 | 1416 |
353
+ | ('8f', 'child_prototypical', 'validation') | 28 | 452 |
354
+ | ('8g', 'child', 'train') | 8 | 1330 |
355
+ | ('8g', 'child', 'validation') | 2 | 332 |
356
+ | ('8g', 'child_prototypical', 'train') | 62 | 640 |
357
+ | ('8g', 'child_prototypical', 'validation') | 19 | 199 |
358
+ | ('8h', 'child', 'train') | 8 | 1324 |
359
+ | ('8h', 'child', 'validation') | 2 | 331 |
360
+ | ('8h', 'child_prototypical', 'train') | 100 | 1816 |
361
+ | ('8h', 'child_prototypical', 'validation') | 23 | 499 |
362
+ | ('9', 'parent', 'train') | 72 | 560 |
363
+ | ('9', 'parent', 'validation') | 18 | 140 |
364
+ | ('9a', 'child', 'train') | 8 | 1324 |
365
+ | ('9a', 'child', 'validation') | 2 | 331 |
366
+ | ('9a', 'child_prototypical', 'train') | 96 | 1520 |
367
+ | ('9a', 'child_prototypical', 'validation') | 27 | 426 |
368
+ | ('9b', 'child', 'train') | 8 | 1326 |
369
+ | ('9b', 'child', 'validation') | 2 | 331 |
370
+ | ('9b', 'child_prototypical', 'train') | 93 | 1783 |
371
+ | ('9b', 'child_prototypical', 'validation') | 18 | 307 |
372
+ | ('9c', 'child', 'train') | 8 | 1330 |
373
+ | ('9c', 'child', 'validation') | 2 | 332 |
374
+ | ('9c', 'child_prototypical', 'train') | 59 | 433 |
375
+ | ('9c', 'child_prototypical', 'validation') | 22 | 163 |
376
+ | ('9d', 'child', 'train') | 8 | 1328 |
377
+ | ('9d', 'child', 'validation') | 2 | 332 |
378
+ | ('9d', 'child_prototypical', 'train') | 78 | 1683 |
379
+ | ('9d', 'child_prototypical', 'validation') | 15 | 302 |
380
+ | ('9e', 'child', 'train') | 8 | 1329 |
381
+ | ('9e', 'child', 'validation') | 2 | 332 |
382
+ | ('9e', 'child_prototypical', 'train') | 66 | 1426 |
383
+ | ('9e', 'child_prototypical', 'validation') | 21 | 475 |
384
+ | ('9f', 'child', 'train') | 8 | 1328 |
385
+ | ('9f', 'child', 'validation') | 2 | 331 |
386
+ | ('9f', 'child_prototypical', 'train') | 79 | 1436 |
387
+ | ('9f', 'child_prototypical', 'validation') | 20 | 330 |
388
+ | ('9g', 'child', 'train') | 8 | 1324 |
389
+ | ('9g', 'child', 'validation') | 2 | 331 |
390
+ | ('9g', 'child_prototypical', 'train') | 100 | 1685 |
391
+ | ('9g', 'child_prototypical', 'validation') | 23 | 384 |
392
+ | ('9h', 'child', 'train') | 8 | 1325 |
393
+ | ('9h', 'child', 'validation') | 2 | 331 |
394
+ | ('9h', 'child_prototypical', 'train') | 95 | 1799 |
395
+ | ('9h', 'child_prototypical', 'validation') | 22 | 462 |
396
+ | ('9i', 'child', 'train') | 8 | 1328 |
397
+ | ('9i', 'child', 'validation') | 2 | 332 |
398
+ | ('9i', 'child_prototypical', 'train') | 79 | 1361 |
399
+ | ('9i', 'child_prototypical', 'validation') | 14 | 252 |
400
+
401
+ ### Citation Information
402
+ ```
403
+ @inproceedings{jurgens-etal-2012-semeval,
404
+ title = "{S}em{E}val-2012 Task 2: Measuring Degrees of Relational Similarity",
405
+ author = "Jurgens, David and
406
+ Mohammad, Saif and
407
+ Turney, Peter and
408
+ Holyoak, Keith",
409
+ 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)",
410
+ month = "7-8 " # jun,
411
+ year = "2012",
412
+ address = "Montr{\'e}al, Canada",
413
+ publisher = "Association for Computational Linguistics",
414
+ url = "https://aclanthology.org/S12-1047",
415
+ pages = "356--364",
416
+ }
417
+ ```
dataset/train.jsonl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eea42042c17dae4f3db33880636d18496411f18eb398a0359871aff650af5161
3
+ size 6124394
dataset/valid.jsonl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c92d96fe873e050cb53fa2609c08d600c1893c79ac76a90b86fd74096ec41290
3
+ size 1525812
get_stats.py ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import pandas as pd
2
+ from datasets import load_dataset
3
+
4
+ data = load_dataset('relbert/semeval2012_relational_similarity_v6')
5
+ stats = []
6
+ for k in data.keys():
7
+ for i in data[k]:
8
+ stats.append(
9
+ {
10
+ 'relation_type': i['relation_type'],
11
+ 'split': k,
12
+ 'positives': len(i['positives']),
13
+ 'negatives': len(i['negatives']),
14
+ 'level': i['level']
15
+ })
16
+ df = pd.DataFrame(stats)
17
+ g = df.groupby(['relation_type', 'level', 'split']).sum()
18
+ g.to_csv('stats.csv')
19
+ with open('stats.md', 'w') as f:
20
+ f.write(g.to_markdown())
21
+
22
+
process.py ADDED
@@ -0,0 +1,190 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import json
2
+ import os
3
+ import tarfile
4
+ import zipfile
5
+ import gzip
6
+ import requests
7
+
8
+ from glob import glob
9
+ import gdown
10
+ from random import seed, shuffle
11
+
12
+
13
+ validation_ratio = 0.2
14
+ k = 10 # the 3rd level negative-distance ranking
15
+ m = 5 # the 3rd level negative-distance ranking
16
+ top_n = 10 # threshold of positive pairs in the 1st and 2nd relation
17
+ seed(42)
18
+
19
+
20
+ def wget(url, cache_dir: str = './cache', gdrive_filename: str = None):
21
+ """ wget and uncompress data_iterator """
22
+ os.makedirs(cache_dir, exist_ok=True)
23
+ if url.startswith('https://drive.google.com'):
24
+ assert gdrive_filename is not None, 'please provide fileaname for gdrive download'
25
+ gdown.download(url, f'{cache_dir}/{gdrive_filename}', quiet=False)
26
+ filename = gdrive_filename
27
+ else:
28
+ filename = os.path.basename(url)
29
+ with open(f'{cache_dir}/{filename}', "wb") as f:
30
+ r = requests.get(url)
31
+ f.write(r.content)
32
+ path = f'{cache_dir}/{filename}'
33
+
34
+ if path.endswith('.tar.gz') or path.endswith('.tgz') or path.endswith('.tar'):
35
+ if path.endswith('.tar'):
36
+ tar = tarfile.open(path)
37
+ else:
38
+ tar = tarfile.open(path, "r:gz")
39
+ tar.extractall(cache_dir)
40
+ tar.close()
41
+ os.remove(path)
42
+ elif path.endswith('.zip'):
43
+ with zipfile.ZipFile(path, 'r') as zip_ref:
44
+ zip_ref.extractall(cache_dir)
45
+ os.remove(path)
46
+ elif path.endswith('.gz'):
47
+ with gzip.open(path, 'rb') as f:
48
+ with open(path.replace('.gz', ''), 'wb') as f_write:
49
+ f_write.write(f.read())
50
+ os.remove(path)
51
+
52
+
53
+ def get_training_data():
54
+ """ Get RelBERT training data
55
+
56
+ Returns
57
+ -------
58
+ pairs: dictionary of list (positive pairs, negative pairs)
59
+ {'1b': [[0.6, ('office', 'desk'), ..], [[-0.1, ('aaa', 'bbb'), ...]]
60
+ """
61
+ cache_dir = 'cache'
62
+ os.makedirs(cache_dir, exist_ok=True)
63
+ remove_relation = None
64
+ path_answer = f'{cache_dir}/Phase2Answers'
65
+ path_scale = f'{cache_dir}/Phase2AnswersScaled'
66
+ url = 'https://drive.google.com/u/0/uc?id=0BzcZKTSeYL8VYWtHVmxUR3FyUmc&export=download'
67
+ filename = 'SemEval-2012-Platinum-Ratings.tar.gz'
68
+ if not (os.path.exists(path_scale) and os.path.exists(path_answer)):
69
+ wget(url, gdrive_filename=filename, cache_dir=cache_dir)
70
+ files_answer = [os.path.basename(i) for i in glob(f'{path_answer}/*.txt')]
71
+ files_scale = [os.path.basename(i) for i in glob(f'{path_scale}/*.txt')]
72
+ assert files_answer == files_scale, f'files are not matched: {files_scale} vs {files_answer}'
73
+ positives = {}
74
+ negatives = {}
75
+ positives_limit = {}
76
+ all_relation_type = {}
77
+ # score_range = [90.0, 88.7] # the absolute value of max/min prototypicality rating
78
+ for i in files_scale:
79
+ relation_id = i.split('-')[-1].replace('.txt', '')
80
+ if remove_relation and int(relation_id[:-1]) in remove_relation:
81
+ continue
82
+ with open(f'{path_answer}/{i}', 'r') as f:
83
+ lines_answer = [_l.replace('"', '').split('\t') for _l in f.read().split('\n')
84
+ if not _l.startswith('#') and len(_l)]
85
+ relation_type = list(set(list(zip(*lines_answer))[-1]))
86
+ assert len(relation_type) == 1, relation_type
87
+ relation_type = relation_type[0]
88
+ with open(f'{path_scale}/{i}', 'r') as f:
89
+ # list of tuple [score, ("a", "b")]
90
+ scales = [[float(_l[:5]), _l[6:].replace('"', '')] for _l in f.read().split('\n')
91
+ if not _l.startswith('#') and len(_l)]
92
+ scales = sorted(scales, key=lambda _x: _x[0])
93
+ # positive pairs are in the reverse order of prototypicality score
94
+ positive_pairs = [[s, tuple(p.split(':'))] for s, p in filter(lambda _x: _x[0] > 0, scales)]
95
+ positive_pairs = sorted(positive_pairs, key=lambda x: x[0], reverse=True)
96
+ positives[relation_id] = list(list(zip(*positive_pairs))[1])
97
+ positives_limit[relation_id] = list(list(zip(*positive_pairs[:min(top_n, len(positive_pairs))]))[1])
98
+ negatives[relation_id] = [tuple(p.split(':')) for s, p in filter(lambda _x: _x[0] < 0, scales)]
99
+ all_relation_type[relation_id] = relation_type
100
+ parent = list(set([i[:-1] for i in all_relation_type.keys()]))
101
+
102
+ # 1st level relation contrast (among parent relations)
103
+ relation_pairs_1st = []
104
+ relation_pairs_1st_validation = []
105
+ for p in parent:
106
+ child_positive = list(filter(lambda x: x.startswith(p), list(all_relation_type.keys())))
107
+ child_negative = list(filter(lambda x: not x.startswith(p), list(all_relation_type.keys())))
108
+ positive_pairs = []
109
+ negative_pairs = []
110
+ for c in child_positive:
111
+ positive_pairs += positives_limit[c]
112
+ for c in child_negative:
113
+ negative_pairs += positives_limit[c]
114
+
115
+ shuffle(positive_pairs)
116
+ positive_pairs_val = positive_pairs[:int(len(positive_pairs) * validation_ratio)]
117
+ positive_pairs_tra = positive_pairs[int(len(positive_pairs) * validation_ratio):]
118
+
119
+ shuffle(negative_pairs)
120
+ negative_pairs_val = negative_pairs[:int(len(negative_pairs) * validation_ratio)]
121
+ negative_pairs_tra = negative_pairs[int(len(negative_pairs) * validation_ratio):]
122
+
123
+ relation_pairs_1st += [{
124
+ "positives": positive_pairs_tra, "negatives": negative_pairs_tra, "relation_type": p, "level": "parent"
125
+ }]
126
+ relation_pairs_1st_validation += [{
127
+ "positives": positive_pairs_val, "negatives": negative_pairs_val, "relation_type": p, "level": "parent"
128
+ }]
129
+
130
+ # 2nd level relation contrast (among child relations) & 3rd level relation contrast (within child relations)
131
+ relation_pairs_2nd = []
132
+ relation_pairs_2nd_validation = []
133
+ for p in all_relation_type.keys():
134
+ positive_pairs = positives_limit[p]
135
+ negative_pairs = []
136
+ for n in all_relation_type.keys():
137
+ if p == n:
138
+ continue
139
+ negative_pairs += positives[n]
140
+
141
+ shuffle(positive_pairs)
142
+ positive_pairs_val = positive_pairs[:int(len(positive_pairs) * validation_ratio)]
143
+ positive_pairs_tra = positive_pairs[int(len(positive_pairs) * validation_ratio):]
144
+
145
+ shuffle(negative_pairs)
146
+ negative_pairs_val = negative_pairs[:int(len(negative_pairs) * validation_ratio)]
147
+ negative_pairs_tra = negative_pairs[int(len(negative_pairs) * validation_ratio):]
148
+
149
+ relation_pairs_2nd += [{
150
+ "positives": positive_pairs_tra, "negatives": negative_pairs_tra, "relation_type": p, "level": "child"
151
+ }]
152
+ relation_pairs_2nd_validation += [{
153
+ "positives": positive_pairs_val, "negatives": negative_pairs_val, "relation_type": p, "level": "child"
154
+ }]
155
+
156
+ relation_pairs_3rd = []
157
+ for p in all_relation_type.keys():
158
+ positive_pairs = positives[p]
159
+ negative_pairs = positives[p] + negatives[p]
160
+ for n, anchor in enumerate(positive_pairs):
161
+ if n > m:
162
+ continue
163
+ for _n, posi in enumerate(positive_pairs):
164
+ if n < _n and len(negative_pairs) > _n + k:
165
+ relation_pairs_3rd += [{
166
+ # "positives": [(anchor, posi)],
167
+ # "negatives": [(anchor, neg) for neg in negative_pairs[_n+k:]],
168
+ "positives": [anchor, posi],
169
+ "negatives": negative_pairs[_n + k:],
170
+ "relation_type": p,
171
+ "level": "child_prototypical"
172
+ }]
173
+ print(len(relation_pairs_3rd))
174
+ shuffle(relation_pairs_3rd)
175
+ relation_pairs_3rd_validation = relation_pairs_3rd[:int(len(relation_pairs_3rd)*validation_ratio)]
176
+ relation_pairs_3rd = relation_pairs_3rd[int(len(relation_pairs_3rd) * validation_ratio):]
177
+
178
+ train = relation_pairs_1st + relation_pairs_2nd + relation_pairs_3rd
179
+ validation = relation_pairs_1st_validation + relation_pairs_2nd_validation + relation_pairs_3rd_validation
180
+ return train, validation
181
+
182
+
183
+ if __name__ == '__main__':
184
+ data_train, data_validation = get_training_data()
185
+ print(f"- training data : {len(data_train)}")
186
+ print(f"- validation data : {len(data_validation)}")
187
+ with open('dataset/train.jsonl', 'w') as f_writer:
188
+ f_writer.write('\n'.join([json.dumps(i) for i in data_train]))
189
+ with open('dataset/valid.jsonl', 'w') as f_writer:
190
+ f_writer.write('\n'.join([json.dumps(i) for i in data_validation]))
semeval2012_relational_similarity_v6.py ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import json
2
+ import datasets
3
+
4
+
5
+ logger = datasets.logging.get_logger(__name__)
6
+ _DESCRIPTION = """[SemEVAL 2012 task 2: Relational Similarity](https://aclanthology.org/S12-1047/)"""
7
+ _NAME = "semeval2012_relational_similarity_v6"
8
+ _VERSION = "1.1.1"
9
+ _CITATION = """
10
+ @inproceedings{jurgens-etal-2012-semeval,
11
+ title = "{S}em{E}val-2012 Task 2: Measuring Degrees of Relational Similarity",
12
+ author = "Jurgens, David and
13
+ Mohammad, Saif and
14
+ Turney, Peter and
15
+ Holyoak, Keith",
16
+ 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)",
17
+ month = "7-8 " # jun,
18
+ year = "2012",
19
+ address = "Montr{\'e}al, Canada",
20
+ publisher = "Association for Computational Linguistics",
21
+ url = "https://aclanthology.org/S12-1047",
22
+ pages = "356--364",
23
+ }
24
+ """
25
+
26
+ _HOME_PAGE = "https://github.com/asahi417/relbert"
27
+ _URL = f'https://huggingface.co/datasets/relbert/{_NAME}/raw/main/dataset'
28
+ _URLS = {
29
+ str(datasets.Split.TRAIN): [f'{_URL}/train.jsonl'],
30
+ str(datasets.Split.VALIDATION): [f'{_URL}/valid.jsonl'],
31
+ }
32
+
33
+
34
+ class SemEVAL2012RelationalSimilarityV6Config(datasets.BuilderConfig):
35
+ """BuilderConfig"""
36
+
37
+ def __init__(self, **kwargs):
38
+ """BuilderConfig.
39
+ Args:
40
+ **kwargs: keyword arguments forwarded to super.
41
+ """
42
+ super(SemEVAL2012RelationalSimilarityV6Config, self).__init__(**kwargs)
43
+
44
+
45
+ class SemEVAL2012RelationalSimilarityV6(datasets.GeneratorBasedBuilder):
46
+ """Dataset."""
47
+
48
+ BUILDER_CONFIGS = [
49
+ SemEVAL2012RelationalSimilarityV6Config(
50
+ name=_NAME, version=datasets.Version(_VERSION), description=_DESCRIPTION
51
+ ),
52
+ ]
53
+
54
+ def _split_generators(self, dl_manager):
55
+ downloaded_file = dl_manager.download_and_extract(_URLS)
56
+ return [datasets.SplitGenerator(name=i, gen_kwargs={"filepaths": downloaded_file[str(i)]})
57
+ for i in [datasets.Split.TRAIN, datasets.Split.VALIDATION]]
58
+
59
+ def _generate_examples(self, filepaths):
60
+ _key = 0
61
+ for filepath in filepaths:
62
+ logger.info(f"generating examples from = {filepath}")
63
+ with open(filepath, encoding="utf-8") as f:
64
+ _list = [i for i in f.read().split('\n') if len(i) > 0]
65
+ for i in _list:
66
+ data = json.loads(i)
67
+ yield _key, data
68
+ _key += 1
69
+
70
+ def _info(self):
71
+ return datasets.DatasetInfo(
72
+ description=_DESCRIPTION,
73
+ features=datasets.Features(
74
+ {
75
+ "level": datasets.Value("string"),
76
+ "relation_type": datasets.Value("string"),
77
+ "positives": datasets.Sequence(datasets.Sequence(datasets.Value("string"))),
78
+ "negatives": datasets.Sequence(datasets.Sequence(datasets.Value("string"))),
79
+ }
80
+ ),
81
+ supervised_keys=None,
82
+ homepage=_HOME_PAGE,
83
+ citation=_CITATION,
84
+ )
stats.csv ADDED
@@ -0,0 +1,337 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ relation_type,level,split,positives,negatives
2
+ 1,parent,train,88,544
3
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4
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5
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6
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7
+ 10a,child,validation,2,331
8
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9
+ 10a,child_prototypical,validation,26,521
10
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11
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12
+ 10b,child_prototypical,train,90,1558
13
+ 10b,child_prototypical,validation,27,469
14
+ 10c,child,train,8,1327
15
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16
+ 10c,child_prototypical,train,85,1640
17
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18
+ 10d,child,train,8,1328
19
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20
+ 10d,child_prototypical,train,77,1390
21
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22
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23
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24
+ 10e,child_prototypical,train,67,884
25
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26
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27
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28
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29
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30
+ 1a,child,train,8,1324
31
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32
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33
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34
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35
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36
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37
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38
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39
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40
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41
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42
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43
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44
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45
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46
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47
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48
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49
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50
+ 2,parent,train,80,552
51
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52
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53
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54
+ 2a,child_prototypical,train,93,1885
55
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56
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57
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58
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59
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60
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61
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62
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63
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64
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65
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66
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67
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68
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69
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70
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71
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72
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73
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74
+ 2f,child_prototypical,train,88,1869
75
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76
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77
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78
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79
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80
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81
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82
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83
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84
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85
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86
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87
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88
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89
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90
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91
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92
+ 3,parent,train,64,568
93
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94
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95
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96
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97
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98
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99
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100
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101
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102
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103
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104
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105
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106
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107
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108
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109
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110
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111
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112
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113
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114
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115
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116
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117
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118
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119
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120
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121
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122
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123
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124
+ 3h,child_prototypical,train,71,1399
125
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126
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127
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128
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129
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130
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131
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132
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133
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134
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135
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136
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137
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138
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139
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140
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141
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142
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143
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144
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145
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146
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147
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148
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149
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150
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151
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152
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153
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154
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155
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156
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157
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158
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159
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160
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161
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162
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163
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164
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165
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166
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167
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168
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169
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170
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171
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172
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173
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174
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175
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176
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177
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178
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179
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180
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181
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182
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183
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184
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185
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186
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187
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188
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189
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190
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191
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192
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193
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194
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195
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196
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197
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198
+ 6,parent,train,64,568
199
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200
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201
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202
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203
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204
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205
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206
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207
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208
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209
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210
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211
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212
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213
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214
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215
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216
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217
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218
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219
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220
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221
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222
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223
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224
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225
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226
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227
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228
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229
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230
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231
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232
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233
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234
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235
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236
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237
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238
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239
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240
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241
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242
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243
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244
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245
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246
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247
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248
+ 7d,child_prototypical,train,98,2064
249
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250
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251
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252
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253
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254
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255
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256
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257
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258
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259
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260
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261
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262
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263
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264
+ 7h,child_prototypical,train,94,1479
265
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266
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267
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268
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269
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270
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271
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272
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273
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274
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275
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276
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277
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278
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279
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280
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281
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282
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283
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284
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285
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286
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287
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288
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289
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290
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291
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292
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293
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294
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295
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296
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297
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298
+ 8h,child_prototypical,train,100,1816
299
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300
+ 9,parent,train,72,560
301
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302
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303
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304
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305
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306
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307
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308
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309
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310
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311
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312
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313
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314
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315
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316
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317
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318
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319
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320
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321
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322
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323
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324
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325
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326
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327
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328
+ 9g,child_prototypical,train,100,1685
329
+ 9g,child_prototypical,validation,23,384
330
+ 9h,child,train,8,1325
331
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332
+ 9h,child_prototypical,train,95,1799
333
+ 9h,child_prototypical,validation,22,462
334
+ 9i,child,train,8,1328
335
+ 9i,child,validation,2,332
336
+ 9i,child_prototypical,train,79,1361
337
+ 9i,child_prototypical,validation,14,252
stats.md ADDED
@@ -0,0 +1,338 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ | | positives | negatives |
2
+ |:--------------------------------------------|------------:|------------:|
3
+ | ('1', 'parent', 'train') | 88 | 544 |
4
+ | ('1', 'parent', 'validation') | 22 | 136 |
5
+ | ('10', 'parent', 'train') | 48 | 584 |
6
+ | ('10', 'parent', 'validation') | 12 | 146 |
7
+ | ('10a', 'child', 'train') | 8 | 1324 |
8
+ | ('10a', 'child', 'validation') | 2 | 331 |
9
+ | ('10a', 'child_prototypical', 'train') | 97 | 1917 |
10
+ | ('10a', 'child_prototypical', 'validation') | 26 | 521 |
11
+ | ('10b', 'child', 'train') | 8 | 1325 |
12
+ | ('10b', 'child', 'validation') | 2 | 331 |
13
+ | ('10b', 'child_prototypical', 'train') | 90 | 1558 |
14
+ | ('10b', 'child_prototypical', 'validation') | 27 | 469 |
15
+ | ('10c', 'child', 'train') | 8 | 1327 |
16
+ | ('10c', 'child', 'validation') | 2 | 331 |
17
+ | ('10c', 'child_prototypical', 'train') | 85 | 1640 |
18
+ | ('10c', 'child_prototypical', 'validation') | 20 | 390 |
19
+ | ('10d', 'child', 'train') | 8 | 1328 |
20
+ | ('10d', 'child', 'validation') | 2 | 331 |
21
+ | ('10d', 'child_prototypical', 'train') | 77 | 1390 |
22
+ | ('10d', 'child_prototypical', 'validation') | 22 | 376 |
23
+ | ('10e', 'child', 'train') | 8 | 1329 |
24
+ | ('10e', 'child', 'validation') | 2 | 332 |
25
+ | ('10e', 'child_prototypical', 'train') | 67 | 884 |
26
+ | ('10e', 'child_prototypical', 'validation') | 20 | 234 |
27
+ | ('10f', 'child', 'train') | 8 | 1328 |
28
+ | ('10f', 'child', 'validation') | 2 | 331 |
29
+ | ('10f', 'child_prototypical', 'train') | 80 | 1460 |
30
+ | ('10f', 'child_prototypical', 'validation') | 19 | 306 |
31
+ | ('1a', 'child', 'train') | 8 | 1324 |
32
+ | ('1a', 'child', 'validation') | 2 | 331 |
33
+ | ('1a', 'child_prototypical', 'train') | 106 | 1854 |
34
+ | ('1a', 'child_prototypical', 'validation') | 17 | 338 |
35
+ | ('1b', 'child', 'train') | 8 | 1324 |
36
+ | ('1b', 'child', 'validation') | 2 | 331 |
37
+ | ('1b', 'child_prototypical', 'train') | 95 | 1712 |
38
+ | ('1b', 'child_prototypical', 'validation') | 28 | 480 |
39
+ | ('1c', 'child', 'train') | 8 | 1327 |
40
+ | ('1c', 'child', 'validation') | 2 | 331 |
41
+ | ('1c', 'child_prototypical', 'train') | 80 | 1528 |
42
+ | ('1c', 'child_prototypical', 'validation') | 25 | 502 |
43
+ | ('1d', 'child', 'train') | 8 | 1323 |
44
+ | ('1d', 'child', 'validation') | 2 | 330 |
45
+ | ('1d', 'child_prototypical', 'train') | 112 | 2082 |
46
+ | ('1d', 'child_prototypical', 'validation') | 23 | 458 |
47
+ | ('1e', 'child', 'train') | 8 | 1329 |
48
+ | ('1e', 'child', 'validation') | 2 | 332 |
49
+ | ('1e', 'child_prototypical', 'train') | 63 | 775 |
50
+ | ('1e', 'child_prototypical', 'validation') | 24 | 256 |
51
+ | ('2', 'parent', 'train') | 80 | 552 |
52
+ | ('2', 'parent', 'validation') | 20 | 138 |
53
+ | ('2a', 'child', 'train') | 8 | 1324 |
54
+ | ('2a', 'child', 'validation') | 2 | 330 |
55
+ | ('2a', 'child_prototypical', 'train') | 93 | 1885 |
56
+ | ('2a', 'child_prototypical', 'validation') | 36 | 736 |
57
+ | ('2b', 'child', 'train') | 8 | 1327 |
58
+ | ('2b', 'child', 'validation') | 2 | 331 |
59
+ | ('2b', 'child_prototypical', 'train') | 86 | 1326 |
60
+ | ('2b', 'child_prototypical', 'validation') | 19 | 284 |
61
+ | ('2c', 'child', 'train') | 8 | 1325 |
62
+ | ('2c', 'child', 'validation') | 2 | 331 |
63
+ | ('2c', 'child_prototypical', 'train') | 96 | 1773 |
64
+ | ('2c', 'child_prototypical', 'validation') | 21 | 371 |
65
+ | ('2d', 'child', 'train') | 8 | 1328 |
66
+ | ('2d', 'child', 'validation') | 2 | 331 |
67
+ | ('2d', 'child_prototypical', 'train') | 79 | 1329 |
68
+ | ('2d', 'child_prototypical', 'validation') | 20 | 338 |
69
+ | ('2e', 'child', 'train') | 8 | 1327 |
70
+ | ('2e', 'child', 'validation') | 2 | 331 |
71
+ | ('2e', 'child_prototypical', 'train') | 82 | 1462 |
72
+ | ('2e', 'child_prototypical', 'validation') | 23 | 463 |
73
+ | ('2f', 'child', 'train') | 8 | 1327 |
74
+ | ('2f', 'child', 'validation') | 2 | 331 |
75
+ | ('2f', 'child_prototypical', 'train') | 88 | 1869 |
76
+ | ('2f', 'child_prototypical', 'validation') | 17 | 371 |
77
+ | ('2g', 'child', 'train') | 8 | 1323 |
78
+ | ('2g', 'child', 'validation') | 2 | 330 |
79
+ | ('2g', 'child_prototypical', 'train') | 108 | 1925 |
80
+ | ('2g', 'child_prototypical', 'validation') | 27 | 480 |
81
+ | ('2h', 'child', 'train') | 8 | 1327 |
82
+ | ('2h', 'child', 'validation') | 2 | 331 |
83
+ | ('2h', 'child_prototypical', 'train') | 84 | 1540 |
84
+ | ('2h', 'child_prototypical', 'validation') | 21 | 385 |
85
+ | ('2i', 'child', 'train') | 8 | 1328 |
86
+ | ('2i', 'child', 'validation') | 2 | 332 |
87
+ | ('2i', 'child_prototypical', 'train') | 72 | 1335 |
88
+ | ('2i', 'child_prototypical', 'validation') | 21 | 371 |
89
+ | ('2j', 'child', 'train') | 8 | 1328 |
90
+ | ('2j', 'child', 'validation') | 2 | 331 |
91
+ | ('2j', 'child_prototypical', 'train') | 80 | 1595 |
92
+ | ('2j', 'child_prototypical', 'validation') | 19 | 369 |
93
+ | ('3', 'parent', 'train') | 64 | 568 |
94
+ | ('3', 'parent', 'validation') | 16 | 142 |
95
+ | ('3a', 'child', 'train') | 8 | 1327 |
96
+ | ('3a', 'child', 'validation') | 2 | 331 |
97
+ | ('3a', 'child_prototypical', 'train') | 87 | 1597 |
98
+ | ('3a', 'child_prototypical', 'validation') | 18 | 328 |
99
+ | ('3b', 'child', 'train') | 8 | 1327 |
100
+ | ('3b', 'child', 'validation') | 2 | 331 |
101
+ | ('3b', 'child_prototypical', 'train') | 87 | 1833 |
102
+ | ('3b', 'child_prototypical', 'validation') | 18 | 407 |
103
+ | ('3c', 'child', 'train') | 8 | 1326 |
104
+ | ('3c', 'child', 'validation') | 2 | 331 |
105
+ | ('3c', 'child_prototypical', 'train') | 93 | 1664 |
106
+ | ('3c', 'child_prototypical', 'validation') | 18 | 315 |
107
+ | ('3d', 'child', 'train') | 8 | 1324 |
108
+ | ('3d', 'child', 'validation') | 2 | 331 |
109
+ | ('3d', 'child_prototypical', 'train') | 101 | 1943 |
110
+ | ('3d', 'child_prototypical', 'validation') | 22 | 372 |
111
+ | ('3e', 'child', 'train') | 8 | 1332 |
112
+ | ('3e', 'child', 'validation') | 2 | 332 |
113
+ | ('3e', 'child_prototypical', 'train') | 49 | 900 |
114
+ | ('3e', 'child_prototypical', 'validation') | 20 | 368 |
115
+ | ('3f', 'child', 'train') | 8 | 1327 |
116
+ | ('3f', 'child', 'validation') | 2 | 331 |
117
+ | ('3f', 'child_prototypical', 'train') | 90 | 1983 |
118
+ | ('3f', 'child_prototypical', 'validation') | 15 | 362 |
119
+ | ('3g', 'child', 'train') | 8 | 1331 |
120
+ | ('3g', 'child', 'validation') | 2 | 332 |
121
+ | ('3g', 'child_prototypical', 'train') | 61 | 1089 |
122
+ | ('3g', 'child_prototypical', 'validation') | 14 | 251 |
123
+ | ('3h', 'child', 'train') | 8 | 1328 |
124
+ | ('3h', 'child', 'validation') | 2 | 331 |
125
+ | ('3h', 'child_prototypical', 'train') | 71 | 1399 |
126
+ | ('3h', 'child_prototypical', 'validation') | 28 | 565 |
127
+ | ('4', 'parent', 'train') | 64 | 568 |
128
+ | ('4', 'parent', 'validation') | 16 | 142 |
129
+ | ('4a', 'child', 'train') | 8 | 1327 |
130
+ | ('4a', 'child', 'validation') | 2 | 331 |
131
+ | ('4a', 'child_prototypical', 'train') | 85 | 1766 |
132
+ | ('4a', 'child_prototypical', 'validation') | 20 | 474 |
133
+ | ('4b', 'child', 'train') | 8 | 1330 |
134
+ | ('4b', 'child', 'validation') | 2 | 332 |
135
+ | ('4b', 'child_prototypical', 'train') | 66 | 949 |
136
+ | ('4b', 'child_prototypical', 'validation') | 15 | 214 |
137
+ | ('4c', 'child', 'train') | 8 | 1326 |
138
+ | ('4c', 'child', 'validation') | 2 | 331 |
139
+ | ('4c', 'child_prototypical', 'train') | 86 | 1755 |
140
+ | ('4c', 'child_prototypical', 'validation') | 25 | 446 |
141
+ | ('4d', 'child', 'train') | 8 | 1332 |
142
+ | ('4d', 'child', 'validation') | 2 | 333 |
143
+ | ('4d', 'child_prototypical', 'train') | 46 | 531 |
144
+ | ('4d', 'child_prototypical', 'validation') | 17 | 218 |
145
+ | ('4e', 'child', 'train') | 8 | 1326 |
146
+ | ('4e', 'child', 'validation') | 2 | 331 |
147
+ | ('4e', 'child_prototypical', 'train') | 92 | 2021 |
148
+ | ('4e', 'child_prototypical', 'validation') | 19 | 402 |
149
+ | ('4f', 'child', 'train') | 8 | 1328 |
150
+ | ('4f', 'child', 'validation') | 2 | 332 |
151
+ | ('4f', 'child_prototypical', 'train') | 72 | 1464 |
152
+ | ('4f', 'child_prototypical', 'validation') | 21 | 428 |
153
+ | ('4g', 'child', 'train') | 8 | 1324 |
154
+ | ('4g', 'child', 'validation') | 2 | 330 |
155
+ | ('4g', 'child_prototypical', 'train') | 106 | 2057 |
156
+ | ('4g', 'child_prototypical', 'validation') | 23 | 435 |
157
+ | ('4h', 'child', 'train') | 8 | 1326 |
158
+ | ('4h', 'child', 'validation') | 2 | 331 |
159
+ | ('4h', 'child_prototypical', 'train') | 85 | 1787 |
160
+ | ('4h', 'child_prototypical', 'validation') | 26 | 525 |
161
+ | ('5', 'parent', 'train') | 72 | 560 |
162
+ | ('5', 'parent', 'validation') | 18 | 140 |
163
+ | ('5a', 'child', 'train') | 8 | 1324 |
164
+ | ('5a', 'child', 'validation') | 2 | 331 |
165
+ | ('5a', 'child_prototypical', 'train') | 101 | 1876 |
166
+ | ('5a', 'child_prototypical', 'validation') | 22 | 439 |
167
+ | ('5b', 'child', 'train') | 8 | 1329 |
168
+ | ('5b', 'child', 'validation') | 2 | 332 |
169
+ | ('5b', 'child_prototypical', 'train') | 70 | 1310 |
170
+ | ('5b', 'child_prototypical', 'validation') | 17 | 330 |
171
+ | ('5c', 'child', 'train') | 8 | 1327 |
172
+ | ('5c', 'child', 'validation') | 2 | 331 |
173
+ | ('5c', 'child_prototypical', 'train') | 85 | 1552 |
174
+ | ('5c', 'child_prototypical', 'validation') | 20 | 373 |
175
+ | ('5d', 'child', 'train') | 8 | 1324 |
176
+ | ('5d', 'child', 'validation') | 2 | 330 |
177
+ | ('5d', 'child_prototypical', 'train') | 102 | 1783 |
178
+ | ('5d', 'child_prototypical', 'validation') | 27 | 580 |
179
+ | ('5e', 'child', 'train') | 8 | 1329 |
180
+ | ('5e', 'child', 'validation') | 2 | 332 |
181
+ | ('5e', 'child_prototypical', 'train') | 68 | 1283 |
182
+ | ('5e', 'child_prototypical', 'validation') | 19 | 357 |
183
+ | ('5f', 'child', 'train') | 8 | 1327 |
184
+ | ('5f', 'child', 'validation') | 2 | 331 |
185
+ | ('5f', 'child_prototypical', 'train') | 77 | 1568 |
186
+ | ('5f', 'child_prototypical', 'validation') | 28 | 567 |
187
+ | ('5g', 'child', 'train') | 8 | 1328 |
188
+ | ('5g', 'child', 'validation') | 2 | 332 |
189
+ | ('5g', 'child_prototypical', 'train') | 79 | 1626 |
190
+ | ('5g', 'child_prototypical', 'validation') | 14 | 266 |
191
+ | ('5h', 'child', 'train') | 8 | 1324 |
192
+ | ('5h', 'child', 'validation') | 2 | 330 |
193
+ | ('5h', 'child_prototypical', 'train') | 109 | 2348 |
194
+ | ('5h', 'child_prototypical', 'validation') | 20 | 402 |
195
+ | ('5i', 'child', 'train') | 8 | 1324 |
196
+ | ('5i', 'child', 'validation') | 2 | 331 |
197
+ | ('5i', 'child_prototypical', 'train') | 96 | 2010 |
198
+ | ('5i', 'child_prototypical', 'validation') | 27 | 551 |
199
+ | ('6', 'parent', 'train') | 64 | 568 |
200
+ | ('6', 'parent', 'validation') | 16 | 142 |
201
+ | ('6a', 'child', 'train') | 8 | 1324 |
202
+ | ('6a', 'child', 'validation') | 2 | 330 |
203
+ | ('6a', 'child_prototypical', 'train') | 102 | 1962 |
204
+ | ('6a', 'child_prototypical', 'validation') | 27 | 530 |
205
+ | ('6b', 'child', 'train') | 8 | 1327 |
206
+ | ('6b', 'child', 'validation') | 2 | 331 |
207
+ | ('6b', 'child_prototypical', 'train') | 90 | 1840 |
208
+ | ('6b', 'child_prototypical', 'validation') | 15 | 295 |
209
+ | ('6c', 'child', 'train') | 8 | 1325 |
210
+ | ('6c', 'child', 'validation') | 2 | 331 |
211
+ | ('6c', 'child_prototypical', 'train') | 90 | 1968 |
212
+ | ('6c', 'child_prototypical', 'validation') | 27 | 527 |
213
+ | ('6d', 'child', 'train') | 8 | 1328 |
214
+ | ('6d', 'child', 'validation') | 2 | 331 |
215
+ | ('6d', 'child_prototypical', 'train') | 82 | 1903 |
216
+ | ('6d', 'child_prototypical', 'validation') | 17 | 358 |
217
+ | ('6e', 'child', 'train') | 8 | 1327 |
218
+ | ('6e', 'child', 'validation') | 2 | 331 |
219
+ | ('6e', 'child_prototypical', 'train') | 85 | 1737 |
220
+ | ('6e', 'child_prototypical', 'validation') | 20 | 398 |
221
+ | ('6f', 'child', 'train') | 8 | 1326 |
222
+ | ('6f', 'child', 'validation') | 2 | 331 |
223
+ | ('6f', 'child_prototypical', 'train') | 87 | 1652 |
224
+ | ('6f', 'child_prototypical', 'validation') | 24 | 438 |
225
+ | ('6g', 'child', 'train') | 8 | 1326 |
226
+ | ('6g', 'child', 'validation') | 2 | 331 |
227
+ | ('6g', 'child_prototypical', 'train') | 94 | 1740 |
228
+ | ('6g', 'child_prototypical', 'validation') | 17 | 239 |
229
+ | ('6h', 'child', 'train') | 8 | 1324 |
230
+ | ('6h', 'child', 'validation') | 2 | 330 |
231
+ | ('6h', 'child_prototypical', 'train') | 115 | 2337 |
232
+ | ('6h', 'child_prototypical', 'validation') | 14 | 284 |
233
+ | ('7', 'parent', 'train') | 64 | 568 |
234
+ | ('7', 'parent', 'validation') | 16 | 142 |
235
+ | ('7a', 'child', 'train') | 8 | 1324 |
236
+ | ('7a', 'child', 'validation') | 2 | 331 |
237
+ | ('7a', 'child_prototypical', 'train') | 99 | 2045 |
238
+ | ('7a', 'child_prototypical', 'validation') | 24 | 516 |
239
+ | ('7b', 'child', 'train') | 8 | 1330 |
240
+ | ('7b', 'child', 'validation') | 2 | 332 |
241
+ | ('7b', 'child_prototypical', 'train') | 69 | 905 |
242
+ | ('7b', 'child_prototypical', 'validation') | 12 | 177 |
243
+ | ('7c', 'child', 'train') | 8 | 1327 |
244
+ | ('7c', 'child', 'validation') | 2 | 331 |
245
+ | ('7c', 'child_prototypical', 'train') | 85 | 1402 |
246
+ | ('7c', 'child_prototypical', 'validation') | 20 | 313 |
247
+ | ('7d', 'child', 'train') | 8 | 1324 |
248
+ | ('7d', 'child', 'validation') | 2 | 331 |
249
+ | ('7d', 'child_prototypical', 'train') | 98 | 2064 |
250
+ | ('7d', 'child_prototypical', 'validation') | 25 | 497 |
251
+ | ('7e', 'child', 'train') | 8 | 1328 |
252
+ | ('7e', 'child', 'validation') | 2 | 331 |
253
+ | ('7e', 'child_prototypical', 'train') | 78 | 1270 |
254
+ | ('7e', 'child_prototypical', 'validation') | 21 | 298 |
255
+ | ('7f', 'child', 'train') | 8 | 1326 |
256
+ | ('7f', 'child', 'validation') | 2 | 331 |
257
+ | ('7f', 'child_prototypical', 'train') | 89 | 1377 |
258
+ | ('7f', 'child_prototypical', 'validation') | 22 | 380 |
259
+ | ('7g', 'child', 'train') | 8 | 1328 |
260
+ | ('7g', 'child', 'validation') | 2 | 332 |
261
+ | ('7g', 'child_prototypical', 'train') | 72 | 885 |
262
+ | ('7g', 'child_prototypical', 'validation') | 21 | 263 |
263
+ | ('7h', 'child', 'train') | 8 | 1324 |
264
+ | ('7h', 'child', 'validation') | 2 | 331 |
265
+ | ('7h', 'child_prototypical', 'train') | 94 | 1479 |
266
+ | ('7h', 'child_prototypical', 'validation') | 29 | 467 |
267
+ | ('8', 'parent', 'train') | 64 | 568 |
268
+ | ('8', 'parent', 'validation') | 16 | 142 |
269
+ | ('8a', 'child', 'train') | 8 | 1324 |
270
+ | ('8a', 'child', 'validation') | 2 | 331 |
271
+ | ('8a', 'child_prototypical', 'train') | 93 | 1640 |
272
+ | ('8a', 'child_prototypical', 'validation') | 30 | 552 |
273
+ | ('8b', 'child', 'train') | 8 | 1330 |
274
+ | ('8b', 'child', 'validation') | 2 | 332 |
275
+ | ('8b', 'child_prototypical', 'train') | 61 | 1126 |
276
+ | ('8b', 'child_prototypical', 'validation') | 20 | 361 |
277
+ | ('8c', 'child', 'train') | 8 | 1326 |
278
+ | ('8c', 'child', 'validation') | 2 | 331 |
279
+ | ('8c', 'child_prototypical', 'train') | 96 | 1547 |
280
+ | ('8c', 'child_prototypical', 'validation') | 15 | 210 |
281
+ | ('8d', 'child', 'train') | 8 | 1325 |
282
+ | ('8d', 'child', 'validation') | 2 | 331 |
283
+ | ('8d', 'child_prototypical', 'train') | 92 | 1472 |
284
+ | ('8d', 'child_prototypical', 'validation') | 25 | 438 |
285
+ | ('8e', 'child', 'train') | 8 | 1327 |
286
+ | ('8e', 'child', 'validation') | 2 | 331 |
287
+ | ('8e', 'child_prototypical', 'train') | 87 | 1340 |
288
+ | ('8e', 'child_prototypical', 'validation') | 18 | 270 |
289
+ | ('8f', 'child', 'train') | 8 | 1326 |
290
+ | ('8f', 'child', 'validation') | 2 | 331 |
291
+ | ('8f', 'child_prototypical', 'train') | 83 | 1416 |
292
+ | ('8f', 'child_prototypical', 'validation') | 28 | 452 |
293
+ | ('8g', 'child', 'train') | 8 | 1330 |
294
+ | ('8g', 'child', 'validation') | 2 | 332 |
295
+ | ('8g', 'child_prototypical', 'train') | 62 | 640 |
296
+ | ('8g', 'child_prototypical', 'validation') | 19 | 199 |
297
+ | ('8h', 'child', 'train') | 8 | 1324 |
298
+ | ('8h', 'child', 'validation') | 2 | 331 |
299
+ | ('8h', 'child_prototypical', 'train') | 100 | 1816 |
300
+ | ('8h', 'child_prototypical', 'validation') | 23 | 499 |
301
+ | ('9', 'parent', 'train') | 72 | 560 |
302
+ | ('9', 'parent', 'validation') | 18 | 140 |
303
+ | ('9a', 'child', 'train') | 8 | 1324 |
304
+ | ('9a', 'child', 'validation') | 2 | 331 |
305
+ | ('9a', 'child_prototypical', 'train') | 96 | 1520 |
306
+ | ('9a', 'child_prototypical', 'validation') | 27 | 426 |
307
+ | ('9b', 'child', 'train') | 8 | 1326 |
308
+ | ('9b', 'child', 'validation') | 2 | 331 |
309
+ | ('9b', 'child_prototypical', 'train') | 93 | 1783 |
310
+ | ('9b', 'child_prototypical', 'validation') | 18 | 307 |
311
+ | ('9c', 'child', 'train') | 8 | 1330 |
312
+ | ('9c', 'child', 'validation') | 2 | 332 |
313
+ | ('9c', 'child_prototypical', 'train') | 59 | 433 |
314
+ | ('9c', 'child_prototypical', 'validation') | 22 | 163 |
315
+ | ('9d', 'child', 'train') | 8 | 1328 |
316
+ | ('9d', 'child', 'validation') | 2 | 332 |
317
+ | ('9d', 'child_prototypical', 'train') | 78 | 1683 |
318
+ | ('9d', 'child_prototypical', 'validation') | 15 | 302 |
319
+ | ('9e', 'child', 'train') | 8 | 1329 |
320
+ | ('9e', 'child', 'validation') | 2 | 332 |
321
+ | ('9e', 'child_prototypical', 'train') | 66 | 1426 |
322
+ | ('9e', 'child_prototypical', 'validation') | 21 | 475 |
323
+ | ('9f', 'child', 'train') | 8 | 1328 |
324
+ | ('9f', 'child', 'validation') | 2 | 331 |
325
+ | ('9f', 'child_prototypical', 'train') | 79 | 1436 |
326
+ | ('9f', 'child_prototypical', 'validation') | 20 | 330 |
327
+ | ('9g', 'child', 'train') | 8 | 1324 |
328
+ | ('9g', 'child', 'validation') | 2 | 331 |
329
+ | ('9g', 'child_prototypical', 'train') | 100 | 1685 |
330
+ | ('9g', 'child_prototypical', 'validation') | 23 | 384 |
331
+ | ('9h', 'child', 'train') | 8 | 1325 |
332
+ | ('9h', 'child', 'validation') | 2 | 331 |
333
+ | ('9h', 'child_prototypical', 'train') | 95 | 1799 |
334
+ | ('9h', 'child_prototypical', 'validation') | 22 | 462 |
335
+ | ('9i', 'child', 'train') | 8 | 1328 |
336
+ | ('9i', 'child', 'validation') | 2 | 332 |
337
+ | ('9i', 'child_prototypical', 'train') | 79 | 1361 |
338
+ | ('9i', 'child_prototypical', 'validation') | 14 | 252 |