---
dataset_info:
  features:
  - name: hyponym
    dtype: string
  - name: hypernym
    dtype: string
  - name: definition
    dtype: string
  splits:
  - name: train
    num_bytes: 4974231
    num_examples: 44772
  - name: test
    num_bytes: 5422
    num_examples: 49
  download_size: 3485218
  dataset_size: 4979653
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---

# Dataset card for WordNet-TaxoLLaMA

[TaxoLLaMA](https://huggingface.co/VityaVitalich/TaxoLLaMA) is a model capable of solving Lexical Semantics task with SoTA metrics. 
The model was fine-tuned on instructive dataset WordNet-TaxoLLaMA. It consists of hypernym-hyponym pairs sampled from WordNet 3.0. As well, it contains definitions, that were used during training to help model disambiguate senses.

## Input Format

The TaxoLLaMA model was trained to use the following format :
```
<s>[INST] <<SYS>> You are a helpfull assistant. List all the possible words divided with a coma. Your answer should not include anything except the words divided by a coma<</SYS>>
hyponym: tiger (large feline of forests in most of Asia having a tawny coat with black stripes)| hypernyms: [/INST]
```

We recommend you to follow this format, however you are free to change it to suite your task!

## Citation

If you find TaxoLLaMA or WordNet-TaxoLLaMA is useful in your work, please cite it with:

```
@misc{moskvoretskii2024taxollama,
      title={TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Sematic Tasks}, 
      author={Viktor Moskvoretskii and Ekaterina Neminova and Alina Lobanova and Alexander Panchenko and Irina Nikishina},
      year={2024},
      eprint={2403.09207},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
```