README.md

---
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](https://huggingface.co/datasets/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](https://doi.org/10.5281/zenodo.10511042)
- **Modification**: Added WordNet definitions to entity names for disambiguation
- **Code**: Modified `hierarchy_transformers.datasets.load` module

## Usage

```python
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:

```bibtex
@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).