Datasets:

Jinrui
/

WordNetNoun

name: WordNetNoun (Disambiguated)
description: >
  Disambiguated version of WordNet's noun hierarchy where entity names are
  formatted  as "name: definition" to resolve polysemy issues. This prevents
  training signal  conflicts when the same word has multiple meanings.
license: apache-2.0
language:
  - en
multilinguality:
  - monolingual
size_categories:
  - 1M<n<10M
task_categories:
  - feature-extraction
  - sentence-similarity
pretty_name: WordNetNoun (Disambiguated)
tags:
  - hierarchy-transformers
  - disambiguation
  - wordnet

WordNetNoun (Disambiguated Version)

This is a disambiguated version of the WordNet Noun hierarchy dataset, where entity names are formatted as name: definition to resolve polysemy issues.

Disambiguation

Original format (ambiguous):

child: "bank"
parent: "slope"

New format (disambiguated):

child: "bank: sloping land (especially the slope beside a body of water)"
parent: "slope: an elevated geological formation"

Problem Solved

In the original dataset, the word "bank" appears with multiple meanings:

bank.n.01: "sloping land" → parent: slope
bank.n.09: "a building in which banking transacted" → parent: depository
bank.n.10: "flight maneuver" → parent: flight maneuver
... (8 different senses total)

This caused training signal conflicts where the same text "bank" needed to be embedded close to multiple different parents simultaneously.

Dataset Structure

Following the same structure as Hierarchy-Transformers/WordNetNoun:

MixedHop-RandomNegatives-Pairs/: (child, parent, label) format for evaluation
MixedHop-RandomNegatives-Triplets/: (child, parent, negative) format for training

Each contains train/val/test splits in parquet format.

Statistics

Train: 750,915 pairs / 682,650 triplets
Val: 364,925 pairs / 331,750 triplets
Test: 364,936 pairs / 331,760 triplets
Total entities: 74,401 (with definitions)

Source

Original data: Zenodo 10511042
Modification: Added WordNet definitions to entity names for disambiguation
Code: Modified hierarchy_transformers.datasets.load module

Usage

from datasets import load_dataset

# Load disambiguated dataset
ds = load_dataset("Jinrui/WordNetNoun", "MixedHop-RandomNegatives-Pairs")

# Example
print(ds['train'][0])
# {
#   'child': 'boarhound: large hound used in hunting wild boars',
#   'parent': 'hound: any of several breeds of dog used for hunting...',
#   'label': 1
# }

Citation

If you use this dataset, please cite the original HierarchyTransformers paper:

@inproceedings{he2024language,
  title={Language Models as Hierarchy Encoders},
  author={He, Yuan and Yuan, Zhangdie and Chen, Jiaoyan and Horrocks, Ian},
  booktitle={Advances in Neural Information Processing Systems},
  year={2024}
}

License

Same as the original dataset (Apache 2.0).