Update README.md

README.md

@@ -3,6 +3,8 @@ model-index:
 - name: TaxoLLaMA
   results: []
 license: cc-by-sa-4.0
+datasets:
+  - VityaVitalich/WordNet-TaxoLLaMA
 language:
 - en
 - es
@@ -20,7 +22,7 @@ TaxoLLaMA is a lightweight fine-tune of LLaMA2-7b model, aimed at solving multip
 It was pretrained with instructive dataset, collected from WordNet 3.0 to generate hypernyms for a given hyponym. 
 This model also could be used for identifying hypernymy with perplexity, that is useful for Lexical Entailment or Taxonomy Construction.
 
-For more details, read paper: [TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Sematic Tasks](google.com)
+For more details, read paper: [TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Sematic Tasks](https://arxiv.org/abs/2403.09207)
 
 ## Model description
 
@@ -30,7 +32,7 @@ For more details, read paper: [TaxoLLaMA: WordNet-based Model for Solving Multip
 ### Model Sources
 
 - **Repository:** [https://github.com/VityaVitalich/TaxoLLaMA](https://github.com/VityaVitalich/TaxoLLaMA)
-- **Instruction Set:** TBD
+- **Instruction Set:** [WordNet-TaxoLLaMA](https://huggingface.co/datasets/VityaVitalich/WordNet-TaxoLLaMA)
 
 ## Performance
 
@@ -101,5 +103,12 @@ print(text)
 If you find TaxoLLaMA is useful in your work, please cite it with:
 
 ```
-TBD
+@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}
+}
 ```