Update README.md

README.md

@@ -52,28 +52,17 @@ The dataset is intended for:
 - **Marathi Embedding Model Benchmarking**
 
 ## Model Benchmarks:
-The **MahaSBERT-STS-v2** model, fine-tuned on this dataset, provides a performance baseline. Other models like **MahaBERT**, **MuRIL**, **IndicBERT**, and **IndicSBERT** can be benchmarked for comparison.
-
-## Sample Usage
-
-The `L3Cube-MahaNLP` library, which includes resources related to this dataset, can be installed via pip:
-
-```bash
-pip install mahaNLP
-```
-
-Usage examples are provided in this demo [Colab notebook](https://colab.research.google.com/drive/1POx3Bi1cML6-s3Z3u8g8VpqzpoYCyv2q).
+The [**MahaSBERT-STS-v2**](https://huggingface.co/l3cube-pune/marathi-sentence-similarity-sbert-v2) model, fine-tuned on this dataset, provides a performance baseline. Other models like **MahaBERT**, **MuRIL**, **IndicBERT**, and **IndicSBERT** can be benchmarked for comparison.
 
 ## Citation:
 If you use this dataset, please cite the following paper:
 
 ```bibtex
-@article{joshi2025l3cubemahasts,
+@article{mirashi2025l3cube,
   title={L3Cube-MahaSTS: A Marathi Sentence Similarity Dataset and Models},
-  author={Joshi, Raviraj and others},
+  author={Mirashi, Aishwarya and Joshi, Ananya and Joshi, Raviraj},
   journal={arXiv preprint arXiv:2508.21569},
-  year={2025},
-  url={https://huggingface.co/papers/2508.21569}
+  year={2025}
 }
 
 @article{joshi2022l3cube,