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--- |
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dataset_info: |
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features: |
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- name: hyponym |
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dtype: string |
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- name: hypernym |
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dtype: string |
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- name: definition |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 4974231 |
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num_examples: 44772 |
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- name: test |
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num_bytes: 5422 |
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num_examples: 49 |
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download_size: 3485218 |
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dataset_size: 4979653 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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--- |
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|
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# Dataset card for WordNet-TaxoLLaMA |
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[TaxoLLaMA](https://huggingface.co/VityaVitalich/TaxoLLaMA) is a model capable of solving Lexical Semantics task with SoTA metrics. |
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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. |
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## Input Format |
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The TaxoLLaMA model was trained to use the following format : |
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``` |
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<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>> |
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hyponym: tiger (large feline of forests in most of Asia having a tawny coat with black stripes)| hypernyms: [/INST] |
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``` |
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We recommend you to follow this format, however you are free to change it to suite your task! |
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## Citation |
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If you find TaxoLLaMA or WordNet-TaxoLLaMA is useful in your work, please cite it with: |
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|
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``` |
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@misc{moskvoretskii2024taxollama, |
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title={TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Sematic Tasks}, |
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author={Viktor Moskvoretskii and Ekaterina Neminova and Alina Lobanova and Alexander Panchenko and Irina Nikishina}, |
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year={2024}, |
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eprint={2403.09207}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
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|
