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Dataset card for WordNet-TaxoLLaMA

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}
}
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Models trained or fine-tuned on VityaVitalich/WordNet-TaxoLLaMA

Paper for VityaVitalich/WordNet-TaxoLLaMA